Benefits of Going to the Gym | Gym Review Essay Example

  • To find inspiration for your paper and overcome writer’s block
  • As a source of information (ensure proper referencing)
  • As a template for you assignment

Introduction

Benefits of going to the gym, why gym is important, works cited.

Nowadays, everyone is obsessed with having a good body. Dieting, exercising, and lots of stuff they do to achieve their goal. Gym memberships usually grow, especially after the holidays when people eat so much. Then they go to the gym to burn the fat. Going to the gym is a commitment that people should make if they are serious about getting in shape.

Many reasons to go to gym. Of course, exercise is a priority. The gym has plenty of exercise machines that people can use to develop different muscle groups. Kulas (para. 1), in her article, “The Advantages of Going to the Gym Every Day,” says at least 30 minutes of moderate exercise should be done by adults five days a week, so going to the gym every day will meet that goal. It will result in good physical and mental health.

Aside from exercising, one can meet new friends like fitness instructors and others. It’s good to be with people with the same interests so that all can motivate each other to keep their fitness goals.

When one exercises, the heart becomes stronger, so it efficiently pumps blood to the body to keep vital organs healthy and in order. For example, blood pressure is maintained instead of spike high, cholesterol and triglyceride levels are kept low, and heart disease is kept at bay. It means there is less chance of a heart attack, stroke, or any other disease when one exercises regularly (Kulas, para. 3).

Combining aerobic exercise with other kinds of exercises like strength training with weights and stretching keeps muscles, ligaments, joints, and tendons healthy, flexible, and strong, so when one becomes older, he is stronger and has less risk of being out of balance and falling causing fractures or other injuries. One also gets good posture when muscles are well-formed. That is why the person should select the right exercises for each muscle group.

Suppose one does not like to work with exercise machines but still likes to exercise. In that case, gyms also offer group exercises, including boot camp exercises in teams, cycling sessions on stationary bicycles, martial arts exercises like body combat, boxing, etc., and plenty of dance routines like Zumba, HipHop, Ballroom Dancing, etc. It can be fun to meet new people, so social life comes alive.

One sleeps better also when the body gets good exercise. When one sleeps well, he wakes up with more energy to face the day and go about his work better in high spirits. The mood becomes better, too, so he is not grouchy with others. As one loses weight from exercising regularly and having a good balanced diet, one looks more fit and attractive, so a good body deserves good clothes that fit well.

On the other hand, some people go overboard in exercising, thinking all the positive results will double or they lose weight faster to get a leaner body. Andersen, in her article “9 Reasons to Skip Your Workout.. Sometimes”, advises that rest days should be inserted in between exercise days, especially if the workout is heavy.

She says muscles need rest periods in order to grow to heal the tiny tears that exercising causes. When they are repaired, it makes them stronger. She also says over-exercising may lead to too much weight loss or even weight gain due to the body’s built-in protective systems (para. 3). For women, over-exercising may interrupt their menstrual cycle because it affects the hormones.

As opposed to having moderate exercise that brings good sleep, over-exercising can affect one’s sleep cycle as well, and some people have trouble sleeping. Some even develop Insomnia or the inability to sleep well at night, so they resort to napping during the day only to catch up on the loss of sleep. This affects their performance at work or in school because they become very sleepy all the time. It also affects their mood because they always feel tired.

If one thinks over-exercising will curb their appetite so they become slim sooner, they are wrong. Andersen also says it can lead to overeating because one’s appetite is stimulated more if the body requires more energy to sustain its exertion in exercise, so the more exercise one does, the bigger his appetite.

Spending too much time in the gym also takes time away from more important things that a person needs to attend to, such as quality time for family and friends, engaging in a hobby that one enjoys, praying or meditating, or going to places one enjoys or has never been to before. Everything needs to be balanced: diet, exercise, work, leisure, and time for everything in order to lead a happy and fulfilled life.

As in everything else, too much of something good is bad, and in the case of over-exercising, it can lead to burnout. This means one has gone beyond his limits, and the body is not able to handle it. The person may have a breakdown, get sick, and become unable to exercise, work or be productive. So, it is much better to stick with a manageable exercise program at a time period that one can handle. That is about 30 minutes to an hour every day of moderate exercise coupled with a good diet plan.

The feeling that one gets after a good workout is fantastic. This is due to the release of endorphins, hormones that make people feel great. That is why many people can get addicted to working out, so they get that good feeling after. However, good workouts do not necessarily take place in the gym.

There are many other things one can do to exercise, such as following exercise routines on the DVD in the comfort of one’s home, running, jogging or biking around the block, swimming, dancing, or engaging in some sports like basketball, tennis, or badminton. One just needs to be creative in thinking of ways to move their body and exercise to get fit. They should also be able to do it regularly. Having various types of exercises within the week would be better so that it does not get boring.

However, if all else fails, there is always the gym so that one is really encouraged to actively exercise and not just sit around and watch others exercise. For one, there are gym instructors who can help members with the right exercises for their targeted body parts or for their whole body workout.

Another thing is there are other people who can motivate one to exercise, especially if they have good and fit bodies, to inspire others to achieve the same goals. Still, another is the membership fee that one needs to pay, so one should not waste it by not actively using the gym facilities to the fullest.

Once an individual reaches his goal of having a physically fit body, he should be able to maintain it and not let go of the diet and exercise routines he has mastered. He will realize the many benefits of having a good, healthy, and fit body. Not only will other people notice his new, improved appearance and be impressed, but more importantly, his health ensures that he will be less likely to get sick. This helps in keeping a happy, healthy, and productive life.

Andersen, Charlotte. “9 Reasons to Skip Your Workout… Sometimes”, Shape. 2012. Web.

Kulas, Michelle. “The Advantages of Going to the Gym Every Day”, Livestrong. 2013. Web.

  • David Barton Gym’s Marketing and Communication
  • Resistance Band Workout
  • Usain Bolt as the Best Performing Sprinter
  • Mountaineering Fatalities in Denali 1903-2006
  • Sport: Al Nassr Club
  • Football in Saudi Arabia: The Soccer Al Nasser Club
  • Sport: Figure Skating Judge Bias
  • Olympic Games Benefits and Costs
  • Chicago (A-D)
  • Chicago (N-B)

IvyPanda. (2020, April 2). Benefits of Going to the Gym | Gym Review Essay Example. https://ivypanda.com/essays/advantages-of-going-to-the-gym/

"Benefits of Going to the Gym | Gym Review Essay Example." IvyPanda , 2 Apr. 2020, ivypanda.com/essays/advantages-of-going-to-the-gym/.

IvyPanda . (2020) 'Benefits of Going to the Gym | Gym Review Essay Example'. 2 April.

IvyPanda . 2020. "Benefits of Going to the Gym | Gym Review Essay Example." April 2, 2020. https://ivypanda.com/essays/advantages-of-going-to-the-gym/.

1. IvyPanda . "Benefits of Going to the Gym | Gym Review Essay Example." April 2, 2020. https://ivypanda.com/essays/advantages-of-going-to-the-gym/.

Bibliography

IvyPanda . "Benefits of Going to the Gym | Gym Review Essay Example." April 2, 2020. https://ivypanda.com/essays/advantages-of-going-to-the-gym/.

Logo

Essay on Gym

Students are often asked to write an essay on Gym in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Gym

The importance of gym.

Gyms are places where people go to exercise. They have various machines and weights to help improve strength and fitness. Regular gym workouts can lead to better health and increased energy.

Benefits of Going to the Gym

In conclusion, going to the gym is an excellent way to stay fit and healthy. It can also improve your mood and overall well-being.

Also check:

250 Words Essay on Gym

Introduction.

Gyms, short for gymnasiums, are dedicated spaces where individuals engage in physical exercise to maintain or improve their health and fitness. In the modern era, gyms have evolved from simple workout spaces to sophisticated facilities, offering a variety of equipment and services.

The Evolution of Gyms

The concept of a gymnasium dates back to ancient Greece, where it served as a training facility for competitors in public games. Over time, the idea evolved and expanded, with the modern gym emerging in the 20th century. Today’s gyms are equipped with advanced machines for cardiovascular workouts, strength training, and flexibility exercises, reflecting the growing understanding of the human body and the importance of physical fitness.

The Role of Gyms in Society

Gyms play a crucial role in promoting health and wellness in society. They provide an environment conducive to regular exercise, which is essential in combating lifestyle diseases like obesity, diabetes, and heart disease. Moreover, gyms foster a sense of community, offering a social platform where individuals can connect and motivate each other towards achieving their fitness goals.

The Future of Gyms

The future of gyms looks promising, with technology playing an increasingly significant role. Virtual reality, wearable tech, and AI-powered equipment are set to revolutionize the gym experience, making workouts more personalized, efficient, and enjoyable.

In conclusion, gyms, from their ancient origins to their modern-day sophistication, have continually adapted to meet society’s changing needs. As technology advances, so will the gym experience, further emphasizing the gym’s importance in promoting health, wellness, and community.

500 Words Essay on Gym

The gym, a physical arena that serves as a battleground for individuals seeking to improve their health, fitness, and overall well-being. It’s a place where personal barriers are broken, goals are set and achieved, and the human body is pushed to its limits. The gym is not just a place for physical exercise but is also a platform for mental growth and social interaction.

The gym’s importance is multifaceted, reaching beyond the simple notion of weight loss or muscle gain. Regular gym attendance promotes a healthy lifestyle, encouraging individuals to prioritize their physical health. Exercise releases endorphins, the body’s natural mood elevators, which can help to reduce stress and anxiety.

Moreover, the gym provides a structured environment that fosters discipline and commitment. Consistent gym-goers must manage their time effectively, ensuring they can balance work, social life, and fitness. This discipline often spills over into other areas of life, leading to more organized, productive individuals.

The Social Aspect of Gym

While the gym is often associated with individual pursuits, it also plays a significant role in social interaction. It serves as a melting pot of diverse individuals, all united by a common goal of achieving better health. This shared experience can foster friendships, camaraderie, and a sense of community. The gym provides a platform for social learning, where individuals can learn from each other’s techniques, routines, and experiences.

Overcoming Challenges in Gym

Despite its numerous benefits, the gym can also pose challenges. These can range from initial intimidation, lack of knowledge, or even physical limitations. However, these challenges can be overcome with the right mindset, guidance, and perseverance.

New gym-goers often feel overwhelmed by the array of equipment and the perceived expectations of others. It’s important to remember that everyone starts somewhere, and most gym-goers are more focused on their own workouts than judging others.

That’s it! I hope the essay helped you.

If you’re looking for more, here are essays on other interesting topics:

Apart from these, you can look at all the essays by clicking here .

Happy studying!

Leave a Reply Cancel reply

gym motivation essay

Home — Essay Samples — Life — Gym — The Benefits of Going to the Gym

test_template

The Benefits of Going to The Gym

  • Categories: Gym

About this sample

close

Words: 621 |

Published: Jan 30, 2024

Words: 621 | Page: 1 | 4 min read

Table of contents

Physical health improvements, mental well-being enhancement, social interaction opportunities.

  • World Health Organization. “Physical Activity.” WHO, World Health Organization, 2018, www.who.int/news-room/fact-sheets/detail/physical-activity.
  • The University of South Carolina. “Exercise Helps Prevent Diabetes, Reduces Progression: National Kidney Foundation of South Carolina-funded Research.” ScienceDaily, ScienceDaily, 19 No2019, www.sciencedaily.com/releases/2019/11/191119130528.htm.
  • The Journal of Affective Disorders. “Exercise as a Treatment for Depression: A Meta-Analysis Adjusting for Publication Bias.” ScienceDirect, Elsevier, 15 Sept. 2013, www.sciencedirect.com/science/article/abs/pii/S0165032713001153.
  • The Journal of Alzheimer’s Disease. “Physical Exercise as a Preventive or Disease-Modifying Treatment of Dementia and Brain Aging.” ScienceDirect, Elsevier B.V., 2012, www.j-alz.com/vol39-2.
  • The Journal of Sport and Exercise Psychology. “Exerciser Identity and Its Relevance to Involvement in Regular Exercise.” ResearchGate, via Indiana University Bloomington, 1998, www.researchgate.net/publication/243611028_Exerciser_Identity_and_Its_Relevance_to_Involvement_in_Regular_Exercise.
  • Indiana University. “Benefits of Partner Training.” ScienceDaily, ScienceDaily, 17 Oct. 2007, www.sciencedaily.com/releases/2007/10/071016073812.htm.

Image of Dr. Oliver Johnson

Cite this Essay

Let us write you an essay from scratch

  • 450+ experts on 30 subjects ready to help
  • Custom essay delivered in as few as 3 hours

Get high-quality help

author

Verified writer

  • Expert in: Life

writer

+ 120 experts online

By clicking “Check Writers’ Offers”, you agree to our terms of service and privacy policy . We’ll occasionally send you promo and account related email

No need to pay just yet!

Related Essays

7 pages / 3088 words

2 pages / 774 words

2 pages / 725 words

2 pages / 1305 words

Remember! This is just a sample.

You can get your custom paper by one of our expert writers.

121 writers online

Still can’t find what you need?

Browse our vast selection of original essay samples, each expertly formatted and styled

Related Essays on Gym

Gold's Gym is one of the most recognized names in the fitness industry, with a long-standing reputation for providing high-quality fitness facilities and services. The purpose of this essay is to provide an in-depth analysis of [...]

When it comes to maintaining a healthy and active lifestyle, the choice between exercising at home and exercising at the gym is a decision that individuals often grapple with. Both options offer distinct advantages and drawbacks [...]

Berkhan, M. (2019). Advantages and Disadvantages of Joining a Gym. Fitness Volt. Fitness First. (n.d.). Advantages and Disadvantages of Going to the Gym. Fitness First Blog. Gainsbourg, M. (2020). The Pros and Cons of Joining a [...]

Having a healthy body and ideal body weight is everyone’s dream. Sports is one way to make it happen. There are various types of sports that can be chosen. There are many sports can be used to maintain a healthy body. For the [...]

This paper explains my experiences today in the 24 Hour Fitness Gym. The paper records all my experience in the gym ranging from my experiences of the people who were practising in the gym to the cardio equipment in the gym and [...]

I have always been very athletic. I have always participated in both team and individual sports. I have always eaten relatively healthily. That being said, I have never been skinny. I have been ‘overweight’ for as long as I’m [...]

Related Topics

By clicking “Send”, you agree to our Terms of service and Privacy statement . We will occasionally send you account related emails.

Where do you want us to send this sample?

By clicking “Continue”, you agree to our terms of service and privacy policy.

Be careful. This essay is not unique

This essay was donated by a student and is likely to have been used and submitted before

Download this Sample

Free samples may contain mistakes and not unique parts

Sorry, we could not paraphrase this essay. Our professional writers can rewrite it and get you a unique paper.

Please check your inbox.

We can write you a custom essay that will follow your exact instructions and meet the deadlines. Let's fix your grades together!

Get Your Personalized Essay in 3 Hours or Less!

We use cookies to personalyze your web-site experience. By continuing we’ll assume you board with our cookie policy .

  • Instructions Followed To The Letter
  • Deadlines Met At Every Stage
  • Unique And Plagiarism Free

gym motivation essay

11 Ways to Motivate Yourself to Go to the Gym

By editorial staff | dec 19, 2023, 12:31 pm est.

Good news! Wearing yoga pants may inspire you to go to the gym more often.

Being active has many benefits for heart health , sleep quality , brain function , and much more—but knowing exercise it’s good for you doesn’t always mean it’s easy to go to the gym. If you’ve been having trouble getting into a workout routine, take a look at a few proven methods for getting off the couch. You’ll thank us later.

1. Dress for a workout, even if you’re not feeling up to it.

In many ways, pulling on a sweatshirt or a pair of yoga pants is even more important than heading out the door to go to the gym. Research has suggested that our brains are susceptible to “enclothed cognition,” a technical way of saying that dressing for the part can help fuel your ambition to complete a chosen task. If you’re in full workout gear, you’re far more likely to head out the door.

2. Make a workout commitment with a friend.

It can be helpful to have an accountability partner, so make plans to have a joint workout with a friend. Feeling that someone else is counting on you to attend will make it less likely you’ll skip the session. Even better, seeing your friend perform—like running a longer distance or lifting heavier weights—may also give you the motivation to push yourself, and you can share tips and celebrate each other’s progress.

3. Make a gym plan.

If you’re just looking to get active, there’s nothing wrong with going to a gym and investing time in whatever equipment or activity strikes your fancy. But the downside of those aimless visits is that skipping them doesn’t feel like you’re impeding progress toward a goal. After a break-in period, it’s best to imagine a finish line—losing weight, increasing endurance, adding muscle, or a mix of each—and focus your energy on working toward it.

4. Go to the gym early in the day.

People working out on a gym at a beach at sunrise

By getting up early in the morning and heading to the gym before you start your day, you’ve successfully avoided the eight to 10 hours you’d be able to talk yourself out of going. Exercising can be energizing, making it an ideal morning routine—but if you wait, you might feel too tired to go. Getting out of bed may be tough those first few mornings, but once you’ve established a rhythm, you’ll be glad you did.

5. Change your routine.

Even if you’re a creature of habit, repeating the same exercises over and over can become monotonous. To avoid boredom, try re-arranging their order or substituting alternatives—an incline bench press, for example, instead of a flat bench. By switching things up, you’ll keep both your body and mind invested in the activity. (And you can always return to your regular routine later.)

6. Visualize success.

Visualization is an athletic tool that’s been used for decades. By closing your eyes and imagining what it would look and feel like to achieve a goal or to complete an exercise, we can prepare ourselves physically and psychologically for the task at hand. If you’re dragging your feet or considering skipping a workout, try sitting down for a few minutes to visualize how you’d feel if you went to the gym and how it would bring you one step closer to your goal.

7. Don’t over-promise.

Having goals, even lofty ones, is key to anything you want to achieve in life. But if you decide you want to have the proportions of a fitness model by August or jump from a 5K to a three-hour marathon time, you may be setting yourself up for disappointment. Make sure the bar is reachable—even if it means aiming for just 15 minutes on a bike—so you’re not overwhelmed. Don’t forget to celebrate the smaller milestones along the way.

8. Eliminate obstacles.

Woman in gray sweatshirt drinking offee in the sunlight

Maybe something is impeding your gym trip. Is the coffee maker not working, sapping you of the crucial caffeine jolt you like before a workout? Do you not like your gym’s location or their fitness class instructors? Don’t wait until you can use roadblocks to excuse a missed session. Take action to resolve the problem so you have a clear and unobstructed path toward your goals.

9. Consider working with a trainer.

Certified fitness instructors add to the cost of your workout, but they can also add a lot of tangible value. An expert can design a program based on your goals, show you how to use equipment, and provide tips on nutrition. You may find you don’t need their assistance for long, but having them present while you start out could compel you to stick with it.

10. Log your workouts.

By recording distances, weights, and other objective milestones in your fitness journey, you’ll be able to see progress on paper . That record can come in handy when you’re feeling uninspired or lethargic. Referencing a time when you could run only a half-mile, for example, might motivate you to stick with it because you’re now accustomed to running two or three.

11. Take time to recover.

You may think that hitting the gym every day leaves no room for laziness. Eventually, you’re going to discover that your body’s desire for rest will trump your iron will, and you may find yourself going days or weeks without breaking a sweat. It’s better to build in some recovery time, whether that means doing nothing or just temporarily turning your activity level down. That way, you’ll avoid being too tired to tackle your next session.

A version of this story was published in 2015; it has been updated for 2023.

  • Weight Management
  • Nutrition Facts
  • Nutrition Basics
  • Meal Delivery Services
  • Fitness Gear
  • Apparel & Accessories
  • Recipe Nutrition Calculator
  • Weight Loss Calorie Goal
  • BMI Calculator
  • Body Fat Percentage Calculator
  • Calories Burned by Activity
  • Daily Calories Burned
  • Pace Calculator
  • Editorial Process
  • Meet Our Review Board

Why Aren't You Motivated to Exercise?

gym motivation essay

Verywell / Jiaqi Zhou

No Motivation to Workout?

  • Exercise Barriers
  • Finding Motivation
  • Exercise in Everyday Life

Being physically active helps us stay healthy and, if we have a few extra pounds, can also make it easier to lose weight. Yet, knowing this doesn't always help us get off the couch and get onto the treadmill or pick up some weights instead.

If you have every intention to exercise but working out seems to stay at the bottom of your to-do list, you may be wondering why. The answer to this question is different for everyone because there are many potential reasons behind why people find it hard to get motivated to work out .

We're all familiar with the most common reasons we don't exercise —we're too busy, too tired, it's too boring, and on and on. Though this is what we tell ourselves, the real reasons we aren't motivated may be a bit more complicated. If you have no motivation to workout, you can start by adding in daily movement that you enjoy that isn't necessarily part of a structured workout. For instance, take your pet or kids on a walk or play with them outdoors, pick up an active hobby like gardening or a team sport. You can also add movement into your day a little at a time by taking the stairs, parking further away from stores and work, or walking to nearby errands.

Barriers to Exercise Motivation

If you are struggling to find the motivation to workout, you may be experiencing a deeper barrier than you realize. Here are some common roadblocks to working out. Consider if one of these seems like it resonates with you and then take steps to address it.

Exercise Is Unfamiliar

For some people, structured exercise is something they've never had to do before. As a result, it becomes easier to set it by the wayside rather than figure out how to start an exercise program .

This is especially true if your schedule is typically packed, leaving you very little energy to learn a new workout routine. You feel like you lack the mental or physical capacity to add one more item to your to-do list, particularly when that item is something totally new to you.

Exercise Doesn't Fit in With Your Sedentary Lifestyle

Today's world doesn't require as much movement. Many people spend their days working in front of the computer. Nights are spent watching television, catching up on social media, or playing online games. We don't have to be active to get things done.

If this describes your life, it's possible that being sedentary has turned into your comfort zone. This can make it harder to get into an exercise habit .

Exercise Is Considered a Luxury

Some people realize that exercise is necessary for good health, quality of life, and weight management but it becomes an activity they say they'll do once they have a less-full schedule. In this way, it is considered more of a luxury than something they "have to" do.

The issue with this way of thinking is that exercise is important for optimal mental and physical health. Not getting enough regular exercise can result in:

  • An increased risk of major medical issues, such as hypertension and insulin resistance
  • A decrease in muscle size and strength (called atrophy), which can reduce your ability to engage in everyday activities
  • Increased incidence of low back pain, as well as increases in back pain severity and disability
  • Poorer mental health, partly because exercise helps improve anxiety, depression, and stress

Exercise Is Viewed as Hard

Another reason you may not be motivated to exercise is because you view it as being difficult. You've seen images of people struggling to make it through their workout and you don't want to have those types of struggles yourself.

Your motivation to work out can be even lower if, in addition to being hard, you view exercise as boring. You picture yourself riding a stationary bike to nowhere, causing your eyes to roll back into your head.

Seeing exercise as something negative—boring, pointless, difficult, repetitious, etc.—isn't likely to inspire you to get to the gym. If anything, it is more likely to inspire you to avoid it!

Negative Consequences Aren't Immediate

For a lot of things in life, there are immediate consequences if we don't do what we're supposed to do. Don't turn at the bend in the road and you'll drive into the ditch. But what happens if you don't exercise? Usually, nothing. At least, not right away.

Even knowing the possible long-term consequences of not exercising (such as weight gain , heart disease, diabetes, and cancer) may not be enough to get us going, because it's tough to worry about something that hasn't happened, or may never happen.

If any of these ideas strike a chord with you, you may be wondering if it's even possible to find the motivation to exercise. The answer is yes, it is.

The good news is that even just a small change in how you think about exercising can make a big difference when it comes to increasing your motivation.

Find Your Motivation to Work Out

Exercise may be all about moving the body, but the first step is to move your mind. Getting past your mental roadblocks can open the door for new ideas, new attitudes, and a renewed motivation to work out .

Acknowledge Where You Are

In the past, we had more reasons to move. People had to cut their own grass, wash dishes by hand, and walk to school. While we have help with many of these tasks today, it's beneficial to remember that these modern-day conveniences can contribute to our health problems if we let them take over.

Acknowledging where you are, as well as your responsibility to tend to your fitness regularly, helps keep things more in balance. It also brings you one step closer to changing how you live because you recognize where you have room to improve.

Accept Exercise as a Must

If you want to get healthy, exercise is non-negotiable. No pill, diet, or surgical procedure can take the place of being active. So, instead of viewing exercise as a choice, commit to making it a regular part of your day, like making your bed and brushing your teeth.

Making peace with the idea of exercise being as mandatory as taking out the trash often makes it a little easier to do. It doesn't have to happen in a gym or take up hours of your time, either. You can work out at home . You can also do mini exercise sessions to better fit them into your schedule.

Knowing you can create your own exercise experience may help you get up and get moving.

Give Your Workouts Meaning

For some people, exercise is a means to an end. It's a way to lose weight or to get a more toned body. Future goals are nice but there's another part to the equation that, when missing, makes exercise hard to stick to long-term: purpose.

In other words, your workouts need to have value, regardless of whether you ever reach your fitness goal . Working for the future isn't enough to keep us driven and motivated. We need it to mean something now .

Think about what exercise means to you, besides a way to lose weight or gain muscle. What value does it offer outside of your fitness goals?

Your purpose may include using exercise as a way to reduce stress and keep your energy up. Or exercise might be the only time you get to yourself each day. Find your own value and meaning and you'll find your motivation.

Do What Feels Best for You

When it comes to exercising, it's important to find your own path . Too often, the mainstream idea of exercise involves joining health clubs, working out on cardio machines, and taking fitness classes. But what if the thought of doing those things makes you cringe?

Here's some good news—you have the freedom to do whatever activities you like. If you hate the gym, you don't have to join one to get fit. If you hate the repetition and boredom of treadmills, you can try more interactive things like basketball or spin class.

There are countless ways to exercise, so don't be afraid to think outside of the box. There's boxing, Muay Thai (Thai boxing), hiking , mountain biking , and dancing . Find out what  you  like and forget the rules.

We've tried, tested, and reviewed the best boxing equipment for a home gym. If you're in the market for boxing gear, explore which option may be best for you.

Incorporate Exercise Into Everyday Life

While you're considering your exercise barriers, why not begin to work towards a more active lifestyle? You don't have to turn your whole life upside down. Instead, take small steps to start living a healthier lifestyle.

Work more physical activity into your everyday routine. If you like to keep things simple, you could take several walks throughout the day or add some laps the next time you shop at the mall. Once you're ready, incorporate focused exercise sessions to increase your heart rate and build muscle.

A Word From Verywell

It isn't always easy to get and stay motivated to exercise, but once we figure out what is stopping us and how to overcome it, it becomes easier to make working out a habit. Picking the right activity may even make you look forward to exercise .

We now have streaming fitness videos, podcasts , fitness video games, and a variety of health clubs and gyms to fit every need and budget. There's something out there for all of us. It's just a matter of looking around and picking an activity (and location) that interests you.

Teixeira PJ, Carraça EV, Markland D, Silva MN, Ryan RM. Exercise, physical activity, and self-determination theory: A systematic review . Int J Behav Nutr Phys Act . 2012;9:78. doi:10.1186/1479-5868-9-78

Leon-Latre M, Moreno-Franco B, Andres-Estevan E, et al. Sedentary lifestyle and its relation to cardiovascular risk factors, insulin resistance and inflammatory profile . Revista Espanola de Cardiologia . 2014;67(6):449-55. doi:10.1016/j.rec.2013.10.015

Watson N, Ji X, Yasuhara T, et al. No pain, no gain: Lack of exercise obstructs neurogenesis . Cell Transplantation . 2015;24(4):591-7. doi:10.3727/096368915X687723

Shiri R, Coggon D, Falah-Hassani K. Exercise for the prevention of low back pain: Systematic review and meta-analysis of controlled trials . Am J Epidemiol . 2018;187(5):1093-1101. doi:10/10/93/aje/kwx337

Mikkelsen K, Stojanovska L, Polenakovic M, Bosevski M, Apostopoulos V. Exercise and mental health . Maturitas . 2017;106:46-56. doi:10.1016/j.maturitas.2017.09.003

Lachman ME, Lipsitz L, Lubben J, Castaneda-Sceppa C, Jette AM. When adults don't exercise: Behavioral strategies to increase physical activity in sedentary middle-aged and older adults . Innov Aging . 2018;2(1):igy007. doi:10.1093/geroni/igy007

By Paige Waehner, CPT Paige Waehner is a certified personal trainer, author of the "Guide to Become a Personal Trainer," and co-author of "The Buzz on Exercise & Fitness."

Pitchgrade

Presentations made painless

  • Get Premium

105 Gym Essay Topic Ideas & Examples

Inside This Article

Are you struggling to come up with a topic for your gym essay? Look no further! We have compiled a list of 105 gym essay topic ideas and examples to help inspire you and get your creative juices flowing.

  • The benefits of regular exercise on mental health
  • The importance of proper form and technique in weightlifting
  • The role of nutrition in achieving fitness goals
  • The impact of technology on fitness tracking and monitoring
  • How to stay motivated and committed to a workout routine
  • The benefits of high-intensity interval training (HIIT)
  • The dangers of overtraining and how to avoid it
  • The benefits of incorporating yoga into your fitness routine
  • The role of supplements in enhancing performance and recovery
  • The benefits of strength training for women
  • The impact of social media on body image and fitness trends
  • The benefits of outdoor workouts and nature-based fitness activities
  • The benefits of group fitness classes for motivation and accountability
  • The importance of rest and recovery in a fitness routine
  • The benefits of setting SMART goals for fitness success
  • The impact of sleep on exercise performance and recovery
  • The benefits of incorporating meditation and mindfulness into your fitness routine
  • The role of genetics in determining fitness potential
  • The benefits of cross-training and incorporating different types of workouts
  • The impact of stress on exercise performance and recovery
  • The benefits of working with a personal trainer to achieve fitness goals
  • The importance of proper hydration in a workout routine
  • The benefits of tracking progress and setting benchmarks for success
  • The role of mindset and mental toughness in achieving fitness goals
  • The benefits of foam rolling and mobility work for injury prevention
  • The impact of age on exercise performance and recovery
  • The benefits of setting a workout schedule and sticking to it
  • The role of music in enhancing workout performance and motivation
  • The benefits of proper warm-up and cool-down routines in a workout
  • The impact of social support on fitness success
  • The benefits of incorporating plyometric exercises into your workout routine
  • The importance of proper footwear and clothing for workouts
  • The benefits of tracking macros and calories for weight loss and muscle gain
  • The impact of hormones on exercise performance and recovery
  • The benefits of interval training for cardiovascular health
  • The role of habit formation in maintaining a consistent workout routine
  • The benefits of proper breathing techniques during exercise
  • The impact of body composition on overall health and fitness
  • The benefits of outdoor running for mental health and stress relief
  • The role of mindset in overcoming fitness plateaus and challenges
  • The benefits of strength training for older adults
  • The impact of injury on exercise performance and recovery
  • The benefits of swimming as a low-impact exercise option
  • The role of flexibility and mobility in preventing injuries
  • The benefits of tracking workouts and progress in a fitness journal
  • The impact of social comparison on motivation and self-esteem in the gym
  • The benefits of proper nutrition timing for workout performance and recovery
  • The role of foam rolling in reducing muscle soreness and improving recovery
  • The benefits of setting short-term and long-term fitness goals
  • The impact of mindset on overcoming workout challenges and setbacks
  • The benefits of strength training for bone health and osteoporosis prevention
  • The role of mindset in overcoming fear and self-doubt in the gym
  • The benefits of incorporating mobility work into your warm-up routine
  • The impact of stress on workout performance and recovery
  • The benefits of tracking sleep and recovery for optimal performance
  • The role of mindset in overcoming mental barriers to fitness success
  • The benefits of setting realistic expectations for fitness progress
  • The impact of social support on motivation and accountability in the gym
  • The benefits of proper hydration for workout performance and recovery
  • The role of mindset in achieving fitness goals and overcoming obstacles
  • The benefits of incorporating balance and stability exercises into your workout routine
  • The impact of mindset on motivation and consistency in the gym
  • The benefits of setting boundaries and prioritizing self-care in a workout routine
  • The role of mindset in overcoming workout plateaus and challenges
  • The benefits of setting intentions and goals for each workout session
  • The impact of mindset on workout performance and recovery
  • The benefits of incorporating mindfulness and meditation into your fitness routine
  • The role of

Want to create a presentation now?

Instantly Create A Deck

Let PitchGrade do this for me

Hassle Free

We will create your text and designs for you. Sit back and relax while we do the work.

Explore More Content

  • Privacy Policy
  • Terms of Service

© 2023 Pitchgrade

gym motivation essay

Try mental health coaching 50% off

7 ways people actually got motivated to start exercising

Diana Kelly

Where do you look for fitness motivation? Do you read before and after weight loss success stories? Do you follow bodybuilders, trainers, or fitness “influencers” on social media for workout videos and inspiration (#fitspo)? Do you have a friend or family member who made health a priority after receiving a scary health diagnosis?

In this article

“i scaled down my caffeine habit and replaced it with morning workouts.”, "i started training to ease my fibromyalgia symptoms.", “i work out for my mental health.”, “i trained for a tough mudder in honor of my brother who passed.”, “i went from former fat camp kid to working out with a trainer.”, “i used to eat cake for breakfast before becoming a personal trainer.”.

Thanks to the internet, you can find all sorts of exercise motivation, thousands of #MotivationMonday quotes, #FlexFriday photos, and tons of fitness advice. What motivates each of us to work out is different: maybe it’s a health problem, an issue with sleep, a special event you want to look great for, having more energy to play with your kids or grandkids, or simply wanting to feel better and healthier in your own skin. But what keeps us moving may require another strategy entirely. Science says that competition is a strong motivator to get people working out, and so is determining your why for exercising.

But who are these people who have allegedly cracked the code on sticking to a workout routine? Do they even exist? Turns out, they are real and I even spoke to a handful of them so you can borrow, modify, or flat out steal their motivating reasons.

gym motivation essay

“I was plagued with injuries but found workout consistency with group personal training.”

“I was a member of several gyms in the past, but my problem was always sticking with it. In 2013, I partially herniated two discs in my back due to a work injury and ended up quickly gaining weight from lack of activity. The following year I was in the hospital for 14 days due to a severe illness, one I still combat to this day. Then in 2015, I fell and broke my right shoulder in five places. Related to issues from the back and the illness, my balance can be off. It was during physical therapy for the shoulder that I decided I needed to improve my fitness in spite of multiple limitations. After driving past a particular gym several times, I walked in and checked it out. After explaining my limitations, the staff and trainers told me that they understood and would work with me. I loved the idea of group personal training. Doing these classes made a vast improvement in my overall health—not just physically but mentally. I love the accountability of signing up for class…there are days I really could just stay in bed, but I signed up. I have to go! I became friends with the people who take classes the same time I do and they motivate me. I’m down 40 pounds and plan to lose 25 more. I’m feeling confident I’ll succeed!”

– Michael Schrauder, 49, Pittsburgh, Penn.

“My journey to get healthier started after I got blood work done and it said I was prediabetic and had high blood pressure. I wanted to stop going down that path. I started losing weight by working with a registered dietitian and a personal trainer. I can lift heavier weights and I’m learning how to run. I’m noticing the change in how I feel. I initially lost 14 pounds over the first few months and then I gained some back while traveling a ton for work. I’m trying not to focus on the numbers on the scale anymore. I’ve switched my lifestyle. I go to bed much earlier than I used to and am eating earlier in the day and having smaller meals. In order to stick with a six-days-a-week workout schedule, I make sure to go to the gym every morning. My trainer has a sheet where she outlines the daily workout and then I text her after I complete it. My energy levels are crazy high now. I used to drink a ton of coffee and now I only have a cup or two in the morning. If you exercise in the morning—you have energy all day. ”

– Kylie Lobell, 29, Los Angeles

"Being a victim and suffering were not options for me. Without your health you have nothing."

“I was diagnosed with fibromyalgia about three years ago after over 10 years of chronic pain, TMJ, depression, anxiety, and fatigue. As a registered nurse and former athlete, being ‘sick’ was not an option. Being a victim and suffering were not options for me. Without your health you have nothing. Taking control of my health was the best decision for me long term. I started CrossFit solely as a means to train for hiking the Camino De Santiago (a 500-mile route) in Spain. After a few months, I noticed my fibromyalgia symptoms going away. The progress was very slow with CrossFit; starting at just two days per week for one hour at a time. Now, my pain, anxiety, and depression are under control. I am healthy and feel great! That athlete hiding inside of me, wanting to come out since high school, found her way out. It’s empowering to leave your comfort zone and I feel like an empowered bad ass throwing weights around . Through CrossFit and my diagnosis, I found a new passion for helping people, and went back to school for exercise science, in hopes of opening my own gym and helping others like me. Fitness brought passion back to my life and career, helping patients outside of the hospital setting. Think long-term and what works for you. Life begins at the end of your comfort zone!”

– Melissa Fontana, 30, Fort Lauderdale, FL

“I have worked out off and on since college, but I find that the main motivating factors for me are: body maintenance (both looking and feeling good in my body at a healthy size for my frame) and mind maintenance (easing anxiety and reducing stress via a healthy outlet like exercise). I’ve gone through phases over the years when I don’t feel motivated to work out for a variety of reasons, sometimes because I was feeling emotionally or physically subpar, to convenience and environment. I find that switching it up with different classes that are fun and effective keeps me motivated.”

– Tatiana Ridley, holistic nutritionist, yoga teacher, and blogger

“When my brother passed away suddenly, I had so many strong emotions on a daily basis . I was three weeks postpartum so I had all the hormones and lack of sleep and everything that goes with that in addition to mourning the loss of my brother. Early on I got it in my head that I wanted to do something to honor him. I decided to compete in a Tough Mudder with family and some friends I used to play soccer with. We raised money in his memory for Wounded Warriors. (My brother, Earl, was a former Army Ranger.) Training for the race helped me channel all my emotions into something constructive. It also gave me a break from my life for just a little while. My brother was a track star and training helped me feel closer to him when I ran. Losing the baby weight and getting back in shape were great results but the emotional therapy that working out provided was invaluable.”

– Jen Mills, Gainesville, Va.

"It’s a privilege to workout, not a punishment for something ‘bad’ I ate."

“I’ve been on diets since I was a kid. I even went to ‘fat camp’ one summer, and in order to help pay for it, I worked in the kitchen. That resulted in me putting on more weight than ever—at fat camp! I started seeing a registered dietitian with my wife, Kylie, last year. I’ve lost 40 pounds. I realized that my eating disorders were addictions and I’m working to break decades of addictive habits. I recently started working out with a trainer who has a private gym. I love the individualized attention because I’m learning so much more. When I went to the gym on my own I had no idea what I was doing. My trainer is very positive…he’s like a friend that I want to see. He inspires and encourages me. My goal is to increase my exercise. Right now I’m doing two days—one with my trainer and one on the treadmill. Don’t be discouraged if you don’t get overnight results.”

– Danny Lobell, 34, Los Angeles

“To be honest, I ate cake for breakfast, a lot! My eating habits consisted of junk food, and although I played sports growing up, the saying, ‘You can’t outrun a bad diet’ is very true! One day I got sick and tired of feeling out of shape so I signed up for personal training school, took nutrition classes, and began a ‘clean eating’ lifestyle that changed my life forever. Now 13 years later, I’m 30 pounds lighter and I still love to eat clean and workout. I think working out gives me life! It energizes me and reminds me that it’s a privilege to workout, not a punishment for something ‘bad’ I ate. I love hiking and interval training/Tabata training. I do interval workouts when I’m crunched for time, but they help with increasing speed, endurance, and strength. I did interval workouts three days a week when I was losing those 30 pounds.”

– S.J. McShane , CPT, 35, Bangor, Maine

gym motivation essay

Be kind to your mind

  • Put your mind to bed with sleep sounds, music, and wind-down exercises
  • Make mindfulness a part of your daily routine with tension-releasing workouts, relaxing yoga, Focus music playlists, and more

Annual - billed at $69.99 USD/yr

14 days free

$5.83 USD/month

7 days free

$12.99 USD/month

Similar articles

gym motivation essay

All Articles

gym motivation essay

The best meditation positions

gym motivation essay

Meditation 101

gym motivation essay

Breathing exercises to reduce stress

gym motivation essay

33 of the best meditation quotes

gym motivation essay

  • Guided meditation

gym motivation essay

  • Meditation techniques

Meditation and mindfulness for any mind, any mood, any goal

  • Meditation for beginners
  • Benefits of meditation
  • How to sleep better
  • Meditation for sleep
  • How to fall back asleep
  • How to wake up
  • Sleep hacks
  • Meditation for anxiety
  • How to relieve stress
  • Meditation for stress
  • How to relax
  • How to reduce anxiety

Mindfulness

  • How to stop worrying
  • How to form a habit
  • How to be more grateful
  • How to be more present
  • How to improve self-esteem
  • © 2024 Headspace Inc.
  • Privacy policy
  • Consumer Health Data
  • CA Privacy Notice

gym motivation essay

How Exercise Changed These 7 People’s Lives

  • Mallory Creveling
  • January 17, 2018

Fitness Motivation: 7 Inspiring Stories of How Exercise Changed These 7 Lives

Exercise has countless benefits . Of course, there’s the weight loss and muscle gains — the aesthetic changes that people tend to notice the most. Then, there’s the physiological advantages of better sleep , more energy, disease prevention and enhanced immunity. Finally comes the mental side — a boost in self-confidence , a new joy for life, and even a drive for stronger social connections. All of these powerful pay-offs can come from taking it just one step at a time. And these seven women and men provide living proof.

Let their inspiring stories of struggles and triumph, heartbreak and resilience drive you to sign up for that 5K you’re nervous about, to take that strength class you’ve always wanted to, or even just to take a walk outside this afternoon. All you need is a little reminder about how good it can feel — for your body and mind — to keep moving forward.

7 Inspiring Stories on How Exercise Can Change a Life

Inspiring Stories for Fitness Motivation: Stephanie Laska

1. Stephanie Laska: Small Steps, Big Benefits

“Exercise for me is not about running a marathon, it’s about those daily decisions to just go outside.”

Growing up, Stephanie Laska, 44, never worked out. She chose music class over P.E., and had Kool-Aid and Froot Loops every day. It wasn’t until her 40s, weighing around 300 pounds, that she decided she need a lifestyle reboot. A few simple diet changes , like dropping sugary soda and limiting beer and desserts, helped her lose 50 pounds. But she quickly hit a plateau and knew it was time to start moving.

“The details [of a workout schedule] stressed me out at first,” says the Californian. “When do you exercise? Who takes the kids to school? Who makes dinner ?” After a few months of putting it off, she decided to just walk. Not long after, when she was walking her typical route around a tennis court, she decided to pick it up and run the length of one side. Then, she ran two sides, then three, then a full loop, until she ran her first mile in 2014.

“I was keeping it a secret at this point and I remember taking my kids to the park one day. They were on the bikes and got far ahead of me, so I decided to run to catch up,” Laska recalls. “The look on my daughter’s face when she saw me running was like she saw Santa Claus.” That’s when Laska started taking her one-mile jogs up to a 5k, 10k, half-marathon and eventually, marathon distance.

Laska ran her first 26.2 in 2015, scoring first place in her age group. She completed her second this past fall in NYC, as a member of the PowerBar Clean Start team, just one year after having major surgery.

“What motivated me to keep going was that it wasn’t as hard as I made it out to be,” says Laska, who lost a total of 140 pounds and has kept it off for four years now. “People tend to make these huge decisions — like joining a gym or signing up for bootcamp — but I just made a tiny choice to take a walk around the block. I always try to remind myself that those little decisions snowball, positive or negative.”

The idea of taking life one step at a time has led Laska to make more time for herself, and say no to responsibilities that don’t improve her well-being. This has also improved her relationships with her husband and kids and even brought on a promotion at work, she says. “People always ask the hardest thing about losing weight, and I respond that it was saying no to buttered popcorn at the movies,” Laska says. “Exercise for me is not about running a marathon, it’s about those daily decisions to just go outside .”

RELATED: Why I Started Running — And Never Stopped

Click HERE to Read Mike Ergo’s Story of Resilience Post-Military

Related Posts

Best half marathons, 9 strawberry recipes to enjoy all summer long.

From a tangy salad to a spicy salsa and hearty oatmeal bars, enjoy summer’s favorite crop: strawberries. Check out these refreshing strawberry recipes.

Introducing HOT: Holistic Outdoor Training

Looking for a fun and fresh workout routine to kick off your summer? Step away from the screen and bring your workouts outside with this amazing Holistic Outdoor Training audio program.

18 Protein Shake Recipes That Taste Just Like Dessert

Satisfy your sweet tooth with these healthier protein shake recipes that taste just like dessert! From Snickers to s’mores to banana splits, there’s a slimmed down smoothie for you.

7 Booty-Toning Glute Exercises for an Instant Butt Lift

If you have a love-hate relationship with squats, these sculpting glute exercises will add variety to your routine, toning your butt, core and upper thighs.

© 2023 Daily Burn, Inc. All rights reserved. A health, fitness and lifestyle site brought to you by Daily Burn.

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Int J Behav Nutr Phys Act

Logo of ijbenutr

Exercise, physical activity, and self-determination theory: A systematic review

Pedro j teixeira.

1 Faculty of Human Kinetics, Technical University of Lisbon, Estrada da Costa, 1495-688, Cruz Quebrada, Portugal

Eliana V Carraça

David markland.

2 School of Sport, Health and Exercise Sciences, Bangor University, Bangor, UK

Marlene N Silva

Richard m ryan.

3 Department of Clinical and Social Sciences in Psychology, University of Rochester, Rochester, NY, USA

Motivation is a critical factor in supporting sustained exercise, which in turn is associated with important health outcomes. Accordingly, research on exercise motivation from the perspective of self-determination theory (SDT) has grown considerably in recent years. Previous reviews have been mostly narrative and theoretical. Aiming at a more comprehensive review of empirical data, this article examines the empirical literature on the relations between key SDT-based constructs and exercise and physical activity behavioral outcomes.

This systematic review includes 66 empirical studies published up to June 2011, including experimental, cross-sectional, and prospective studies that have measured exercise causality orientations, autonomy/need support and need satisfaction, exercise motives (or goal contents), and exercise self-regulations and motivation. We also studied SDT-based interventions aimed at increasing exercise behavior. In all studies, actual or self-reported exercise/physical activity, including attendance, was analyzed as the dependent variable. Findings are summarized based on quantitative analysis of the evidence.

The results show consistent support for a positive relation between more autonomous forms of motivation and exercise, with a trend towards identified regulation predicting initial/short-term adoption more strongly than intrinsic motivation, and intrinsic motivation being more predictive of long-term exercise adherence. The literature is also consistent in that competence satisfaction and more intrinsic motives positively predict exercise participation across a range of samples and settings. Mixed evidence was found concerning the role of other types of motives (e.g., health/fitness and body-related), and also the specific nature and consequences of introjected regulation. The majority of studies have employed descriptive (i.e., non-experimental) designs but similar results are found across cross-sectional, prospective, and experimental designs.

Overall, the literature provides good evidence for the value of SDT in understanding exercise behavior, demonstrating the importance of autonomous (identified and intrinsic) regulations in fostering physical activity. Nevertheless, there remain some inconsistencies and mixed evidence with regard to the relations between specific SDT constructs and exercise. Particular limitations concerning the different associations explored in the literature are discussed in the context of refining the application of SDT to exercise and physical activity promotion, and integrating these with avenues for future research.

Introduction

Physical activity and exercise, when undertaken regularly, are highly beneficial for health, and for physical and psychological well-being [e.g., [ 1 ]. Yet, only a minority of adults in modern societies reports engaging in physical exercise at a level compatible with most public health guidelines [ 2 ]. For instance, 2009 data indicate that, on a typical week, 60% of adults in Europe engaged in no physical exercise or sports [ 3 ]. In the US, less than 50% of adults are considered regularly physically active [ 4 ] while in Canada new accelerometer data shows that only 15% of adults meet national physical activity recommendations [ 5 ]. Such findings suggest that many people lack sufficient motivation to participate in the 150 minutes of moderately intense exercise or physical activity a per week recommended [ 6 ]. Indeed, approximately 40% of Europeans agree with the statement: “Being physically active does not really interest me – I would rather do other things with my spare time” [ 3 ].

Lack of motivation can broadly be explained by two orders of factors. First, as highlighted in the previous statistic, people may not be sufficiently interested in exercise, or value its outcomes enough to make it a priority in their lives [ 7 ]. Many individuals experience competing demands on their time from educational, career, and family obligations, possibly at the expense of time and resources that could be invested in exercising regularly. Second, some people may not feel sufficiently competent at physical activities, feeling either not physically fit enough or skilled enough to exercise, or they may have health limitations that present a barrier to activity [ 8 ]. Whether it be low interest or low perceived competence, the physical activity participation data indicate that many people are either unmotivated (or amotivated ), having no intention to be more physically active, or are insufficiently motivated in the face of other interests or demands on their time.

In addition to those who are unmotivated, another source of short-lived persistence in exercise behaviors comes from people who do express personal motivation to exercise regularly, yet initiate exercise behaviors with little follow through. Specifically, a significant percentage of people may exercise because of controlled motivations, where participation in activities like going to the gym or running regularly is based on a feeling of “having to” rather than truly “wanting to” participate [ 7 ]. Controlled forms of motivation, which by definition are not autonomous (i.e., they lack volition), are predominant when the activity is perceived primarily as a means to an end and are typically associated with motives or goals such as improving appearance or receiving a tangible reward [ 9 ]. One hypothesis then is that the stability of one’s motivation is at least partially dependent on some of its qualitative features, particularly the degree of perceived autonomy or of an internal perceived locus of causality [ 10 ]. That is, the level of reflective self-endorsement and willingness associated with a behavior or class of behaviors should be associated with greater persistence. An utilitarian approach to exercise (and to exercise motivation), such as might be prevalent in fitness clubs or other settings where exercise is externally prescribed, could thus be partially responsible for the high dropout rate observed in exercise studies [e.g., [ 11 ]. In fact, the pervasiveness of social and medical pressures toward weight loss, combined with externally prescriptive methods may be ill-suited to promote sustained increases in population physical activity levels.

In sum, large numbers of individuals are either unmotivated or not sufficiently motivated to be physically active, or are motivated by types of externally-driven motivation that may not lead to sustained activity. This highlights the need to look more closely at goals and self-regulatory features associated with regular participation in exercise and physical activity. Self-determination theory (SDT) is uniquely placed among theories of human motivation to examine the differential effects of qualitatively different types of motivation that can underlie behavior [ 12 ]. Originating from a humanistic perspective, hence fundamentally centered on the fulfillment of needs, self-actualization, and the realization of human potential, SDT is a comprehensive and evolving macro-theory of human personality and motivated behavior [ 12 ]. In what follows we will briefly describe key concepts formulated within SDT (and tested in SDT empirical studies) that are more relevant to physical activity and exercise, all of which will be implicated in our empirical review.

First, SDT distinguishes between intrinsic and extrinsic types of motivation regulating one’s behavior. Intrinsic motivation is defined as doing an activity because of its inherent satisfactions. When intrinsically motivated the person experiences feelings of enjoyment, the exercise of their skills, personal accomplishment, and excitement [ 13 ]. To different degrees, recreational sport and exercise can certainly be performed for the associated enjoyment or for the challenge of participating in an activity. In contrast to intrinsic motivation, extrinsic motivation refers to doing an activity for instrumental reasons, or to obtain some outcome separable from the activity per se . For example, when a person engages in an activity to gain a tangible or social reward or to avoid disapproval, they are extrinsically motivated. SDT, however, conceptualizes qualitatively different types of extrinsic motivation, that themselves differ in terms of their relative autonomy. Some extrinsic motives are relatively heteronomous, representing what in SDT are described as controlled forms of motivation. For example, externally regulated behaviors are those performed to comply with externally administered reward and punishment contingencies. Also controlled are extrinsic motivations based on introjected regulation, where behavior is driven by self-approval. Controlled forms of extrinsic motivation are expected within SDT to sometimes regulate (or motivate) short-term behavior, but not to sustain maintenance over time [ 14 ]. Yet not all extrinsic motives are controlled. When a person does an activity not because it is inherently fun or satisfying (intrinsic motivation), but rather because it is of personal value and utility, it can represent a more autonomous form of behavioral regulation. Specifically in SDT , identified and integrated forms of behavioral regulation are defined as those in which one’s actions are self-endorsed because they are personally valued. Examples include exercising because one values its outcomes and desires to maintain good health [ 7 ]. Thus, in SDT, these different forms of motivation are conceptualized as lying along a continuum from non-autonomous to completely autonomous forms of behavioral regulation.

Third, SDT introduces the concept of basic psychological needs as central to understanding both the satisfactions and supports necessary for high quality, autonomous forms of motivation . Specifically SDT argues that there are basic psychological needs for autonomy, competence, and relatedness, all of which are conceived as essential and universal nutriments to psychological health and the development of internal motivation. Satisfaction of these basic needs results in increased feelings of vitality and well-being [ 15 ]. Like any other activity, engaging in sports and exercise can be more or less conducive to having one’s psychological needs realized [ 16 ]. For example, experiences of competence vary upon success or failure at challenging physical tasks or as a function of feedback from, for example, a fitness professional. Perceptions of personal connection (relatedness) with others (e.g., fellow members of a fitness class or weight loss program) can vary greatly as a function of the interpersonal environment. Feelings of autonomy (versus feeling controlled) differ as a function of communication styles in exercise settings. According to SDT, in fact, need fulfillment in any context is closely associated with the characteristics of that social milieu, that is, whether important others support the needs for autonomy (e.g., take the perspective of the client/patient, support their choices, minimize pressure), relatedness (e.g., create an empathetic and positive environment, show unconditional regard), and competence (e.g., limit negative feedback, provide optimally challenging tasks). The concept of need support is thus thought to largely explain individual differences in the development and enactment of motivation across the lifespan [ 12 ]. Consequently, the design of health behavior change interventions that enhance satisfaction of participants’ basic needs is a matter of much interest in SDT studies, including in the area of exercise and physical activity [ 17 , 18 ].

More recently, goal contents have also been explored from an SDT perspective in relation to a range of behaviors, including exercise [e.g., [ 19 , 20 ]. It should be noted that most authors have referred to goal contents in exercise contexts as motives , or more specifically participation motives [e.g., [ 64 , 79 ]. Operationally both terms are identical and we will use them interchangeably herein. Whereas intrinsic motivation and the various forms of extrinsic motivation represent the regulatory processes underlying a behavior, motives or goal contents are the outcomes that individuals are pursuing by engaging in the behavior [ 12 ]. Goal contents are differentiated according to the extent to which their pursuit is likely to satisfy basic psychological needs. Specifically, SDT distinguishes intrinsic goals (e.g., seeking affiliation, personal growth, or health) as those thought to be more closely related to the fulfillment of basic psychological needs, from extrinsic goals (e.g., seeking power and influence, wealth, or social recognition) that are thought to be associated with “substitute needs” which are neither universal nor truly essential to well-being and personal development. Factor analytic studies have borne out this theoretical distinction, and a number of studies have shown the predicted differential consequences of intrinsic versus extrinsic goal importance [ 21 , 22 ]. Within the domain of exercise and physical activity, extrinsic goals (e.g., when exercise is performed primarily to improve appearance) or intrinsic goals (e.g., to challenge oneself or to improve/preserve health and well-being) can clearly be distinguished. It should be noted that different goals or motives towards a given activity often naturally co-exist in the same person, some being more intrinsic, some less. Similar to what occurs with motivational regulations (which can have more or less autonomous elements, see more below), it is the relative preponderance of certain types of motives versus others which is thought to determine more or less desirable outcomes [e.g., [ 19 , 20 ].

Finally, SDT also proposes that people have dispositional tendencies, named causality orientations [ 14 ] which describe the way they preferentially orient towards their environments, resulting in characteristic motivational and behavioral patterns. Although some people may be more inclined to seek out and follow their internal indicators of preference in choosing their course of action, others may more naturally tend to align with external directives and norms, while still others may reveal to be generally amotivated, more passive, and unresponsive to either internal or external events that could energize their actions [ 12 ]. Although this topic has not been explored at length in previous research, these orientations can manifest themselves (and be measured) in exercise and physical activity contexts and the Exercise Causality Orientation Scale has been developed to measure individual differences in orientations around exercise [ 9 ].

Previous review papers of the topic of SDT and physical activity have primarily focused on describing the rationale for the application of this particular theoretical framework to physical activity behaviors, reviewing illustrative studies [ 7 , 23 , 24 ]. Meanwhile, the SDT-related exercise empirical research base has grown considerably in recent years, warranting a more comprehensive and systematic review of empirical data. Systematic reviews and meta-analyses of empirical studies provide the highest level of evidence for the appraisal and synthesis of findings from scientific studies. Accordingly, the present review includes 66 empirical studies published up to June 2011 that assessed relations between SDT-based constructs or interventions and exercise outcomes. We included experimental and cross-sectional studies that have measured exercise causality orientations, autonomy/need support and need satisfaction, exercise motives or goals, and exercise self-regulations and motivation. We also studied SDT-based interventions as predictors of exercise behavioral outcomes. Figure ​ Figure1 1 depicts a general model of SDT and exercise, where its major constructs and theoretical links are highlighted.

An external file that holds a picture, illustration, etc.
Object name is 1479-5868-9-78-1.jpg

General SDT process model for exercise behavior. Adapted from the general health process model (Ref Ryan et al., Europ Health Psych, 2009), this graph includes the 5 groups of variables analyzed in this review as exercise predictors and their expected relationships (in a simplified version). Although this review only covers direct relationships between each class of variables (e.g., need satisfaction in exercise) and exercise behaviors, since few articles have simultaneously tested various steps of this model, the SDT model for exercise assumes that a sizable share of variance of exercise associated with SDT variables may be explained via indirect or mediating mechanisms, as depicted. See Discussion for more details.

Data sources and procedure

This review is limited to articles written in English and published in peer-reviewed journals covering adult samples. Research on autonomy and exercise in adolescents and children (typically based in school and physical education) was excluded, as well as studies with competitive athletic samples. Both are specific settings and were considered distinct from leisure-time or health-related exercise participation in adults, the focus of this review. The review includes both cross-sectional and longitudinal studies, investigating clinical and/or general population samples, and using diverse quantitative methodological approaches. A systematic literature search of studies published between 1960 and June 2011 was undertaken on the computerized psychological and sport databases PsycINFO and SportDiscus. The following strategy was used: TX (autonomous motivation OR autonomous regulation OR intrinsic motivation OR controlled regulation OR autonomy OR self-determination OR treatment regulations OR goals OR motives OR basic needs OR autonomy-supportive climate) AND TX (physical activity OR exercise OR exercise behavior OR leisure-time physical activity) Limiters were: Scholarly (peer-reviewed) journals; English Language; Adulthood (> 18 yr); Specific subjects: exercise OR motivation OR self-determination. This search yielded 660 articles. Abstracts were read and, of those, all potentially relevant full manuscripts were retrieved (n = 73). At this stage, studies were excluded which did not include either SDT variables or physical activity variables (accounting for most of the excluded studies), that used non-adult samples, and that reported achievement/performance outcomes related to PE classes. Next, reference lists of retrieved articles, previous review articles on the topic, and books were also reviewed, and manual searches were conducted in the databases and journals for authors who regularly publish in this area. This search yielded 11 additional manuscripts, totaling 84 potentially relevant manuscripts. Next, manuscripts were read and the following inclusion criteria used to select the final set of manuscripts: inclusion of non-athletic samples; outcomes included exercise/physical activity behaviors; reported direct associations between self-determination variables and physical activity outcomes. A total of 66 studies fulfilled all inclusion criteria and thus were included in this review. Of these, ten were experimental, eleven prospective, forty-two cross-sectional, and three used mixed designs.

Studies were initially coded with a bibliography number, but independent samples ( K ) were considered as the unit of analysis in the current review since a few studies used the same sample while other studies reported analyses on multiple samples. Data tables (Table ​ (Table1) 1 ) were constructed and encompassed sample characteristics of study populations, motivational predictors of exercise behavior, instruments of assessment, exercise-related outcomes, research designs, and statistical methods used to test the associations.

Description of reviewed studies

        
ThØgersen-Ntoumani & Ntoumanis, 2006 [ ] Cross-sectional 375 (51) Exercisers (Mean 38.7 yr) UK Exercise self-regulations (BREQ) + amotivation (AMS) : IM (+) , ID (+) , INTR (+) ; EXT (−) , AMOT (−) Exercise stages of change ; Exercise relapses (fewer) Multivariate logistic regressions, adjusting for sex and age; Manovas
Rose et al., 2005 [ ] Cross-sectional 184 (55) Healthy adults (17–60 yr) UK Exercise self-regulations (BREQ) : IM (+) , ID (+) , INTR (+) EXT (−) Exercise stages of change Discriminant function analysis (IM was redundant); Manovas
Ingledew et al., 2009 [ ] Cross-sectional 251 (52) University Students (Mean 19.5 yr) UK Exercise self-regulations (BREQ-2) : IM (+),ID (+),INTR (n.s) EXT (n.s) Self-reported exercise (measure analogous to LTEQ) Partial Least Squares Analysis (PLS); Mediation analysis
Edmunds et al., 2006 [ ] Cross-sectional 369 (52) Healthy individuals (Mean 31.9 yr) UK Exercise self-regulations (BREQ) : IM (n.s.), ID (+), INTR (+), EXT (−) Self-reported exercise (total and strenuous PA; LTEQ) Multiple regressions; Mediation analysis. No associations with mild/moderately intense PA.
: IM (+), ID (+), INTR (+), EXT (n.s.)
Wilson et al., 2006 [ ] Cross-sectional 139 (64) Undergraduate students (Mean 19.5 yr) Canada Exercise extrinsic self-regulations (BREQ) and Integrated Regulation scale (INTEG) : INTEG (+), ID (+), INTR (+), EXT (n.s.) Self-reported exercise (LTEQ) Bivariate correlations; Multiple regression analysis
: INTEG (+), ID (n.s.), INTR (n.s.), EXT (n.s.)
McDonough et al., 2007 [ ] Cross-sectional 558 (72)     Exercise self-regulations (BREQ) : RAI (+) Self-reported exercise (LTEQ) Bivariate correlations; SEM; Mediation analysis. Only RAI was tested in multivariate analysis.
: RAI (+), IM (n.s.), ID (+), INTR (n.s.), EXT (n.s.)
Daley & Duda, 2006 [ ] Cross-sectional 409 (61) Undergraduate students (19.9 yr) UK Exercise self-regulations (BREQ-2) : IM (+), ID (++), INTR (+); EXT (− M); AMOT (− F) Exercise stages of change; Physical activity status (from inactive to active) Discriminant function analysis
Wilson et al., 2004 [ ] Cross-sectional 276 (64) Undergraduate students (20.5 yr) Canada Exercise self-regulations (BREQ-2) : IM (n.s.); ID (+), INTR (+ F; - M), EXT (n.s.), AMOT (n.s.) Self-reported exercise (LTEQ) Bivariate correlations; Multiple regressions analysis
: IM (+); ID (+), INTR (+ F), EXT (n.s.), AMOT (n.s.)
Markland, 2009 [ ] Cross-sectional 102 F Healthy individuals (Mean 29.2 yr) UK Exercise self-regulations (BREQ-2) : IM (+), ID (+), AMOT (n.s.) Self-reported exercise (LTEQ) Bivariate correlations; Multiple regression/mediation (Preacher & Hayes): INTR and EXT not analyzed.
: IM (+), ID (+), INTR (+), EXT (n.s.), AMOT (−)
Ingledew & Markland, 2008 [ ] Cross-sectional 252 (48) Office workers (Mean 40 yr) UK Exercise self-regulations (BREQ-2) : IM (n.s.), ID (+), INTR (n.s.), EXT (−) Self-reported exercise (measure analogous to LTEQ) Bivariate correlations; SEM
: IM (+), ID (+), INTR (n.s.), EXT (−)
Peddle et al., 2008 [ ] Cross-sectional 413 (46) Colorectal cancer survivors (Mean 60 yr) Canada Exercise self-regulations (BREQ-2) : IM (n.s.), ID (+), INTR (+), EXT (n.s.), AMOT (n.s.) Self-reported exercise (LTEQ) Bivariate correlations; Path analysis
: IM (+), ID (+), INTR (+), EXT (n.s.), AMOT (−)
Landry & Solmon, 2004 [ ] Cross-sectional 105 F African-American (Mean 56 yr) USA Exercise self-regulations (BREQ) : IM (+), ID (+), INTR (−), EXT (n.s.) Exercise stages of change; exercise categories Anovas; Discriminant function analysis
  : RAI (+); IM (+), ID (+), INTR (n.s.), EXT (n.s.)
Milne et al., 2008 [ ] Cross-sectional 558 F Breast cancer survivors (Mean 59 yr) Australia Exercise self-regulations (BREQ-2) : IM (+), ID (+), INTR (n.s.), EXT (n.s.), AMOT (n.s.) Self-reported exercise (LTEQ); exercise categories (meeting vs. not meeting guidelines) Anovas; Hierarchical regression analysis
: IM (+), ID (+), INTR (n.s.), EXT (−), AMOT (−)
Mullan & Markland, 1997 [ ] Cross-sectional 314 (49.7) Healthy individuals (Mean 35–40 yr) UK Exercise self-regulations (BREQ) : IM (+), ID (+), INTR (n.s.), EXT (n.s.) Exercise stages of change Anova (RAI was analyzed); Discriminant function analysis;
: RAI (+)
Lewis & Sutton, 2011 [ ] Cross-sectional 100 (50) 95% undergraduates, members of a university gym; age not specified UK Exercise self-regulations (BREQ-2) : IM (+); ID (n.s.), INTR (n.s.), EXT (−), AMOT (n.s.) Exercise frequency Bivariate correlations; Multiple regression analysis
: IM (+); ID (+), INTR (+), EXT (−), AMOT (−)
Markland & Tobin, 2010 [ ] Cross-sectional 133 F Exercise referral scheme clients (Mean 54.5 yr) UK Exercise self-regulations (BREQ-2) : IM (+), ID (+), INTR (n.s.), EXT (n.s.), AMOT (n.s.) Self-reported exercise (LTEQ) Bivariate correlations
Wilson et al., 2002 [ ] Cross-sectional 500 (81) Aerobic exercisers (Mean 34 yr) Canada Exercise self-regulations (BREQ) : IM (+), ID (+), INTR (+), EXT (−) Self-reported exercise (LTEQ) Bivariate correlations. Differences between PA intensities.
Sebire et al., 2009 [ ] Cross-sectional 410 (71) Exercisers (Mean 41.4 yr) UK Exercise self-regulations (BREQ) : RAI (+) Self-reported exercise (LTEQ) Bivariate correlations; Hierarchical regression analysis
: RAI (+)
Brickell & Chatzisarantis, 2007 [ ] Cross-sectional 252 (61) College students (Mean 23.2 yr) Canada Exercise self-regulations (BREQ) : IM (n.s.), ID (+), INTR (n.s.), EXT (n.s) Self-reported exercise (LTEQ) Multiple regression analysis
: IM (+), ID (+), INTR (+), EXT (n.s)
Edmunds et al., 2006 [ ] Cross-sectional 339 (53) Symptomatic vs asymptomatic for exercise dependence (Mean 32.1 yr) UK Exercise self-regulations (BREQ) and Integrated Regulation scale (INTEG) : Symptomatic: INTR (+ tendency); Asymptomatic: ID (+). Remaining variables not significant. Self-reported exercise (total and strenuous PA; LTEQ) Multiple regressions. No associations with moderately intense PA.
Moreno et al., 2007 [ ] Cross-sectional 561 (53) Healthy adults (Mean 31.8 yr) Spain Exercise self-regulations (BREQ-2) : IM (n.s.), ID (−), INTR (n.s.), EXT (−), AMOT (−) Exercise duration (0-45 min vs. 45-60 min vs. > 60 min) Manovas
Hall et al., 2010 [ ] Cross-sectional 470 (54) Adults (Mean 44.9 yr) Canada Exercise self-regulations (BREQ-2); Self-reported exercise (LTEQ) : IM (+), ID (+), INTR (+), EXT (n.s.), AMOT (−) Exercise status (active vs. inactive) Anovas
Standage et al., 2008 [ ] Cross-sectional 52 (50) University students (Mean 22 yr) UK Exercise self-regulations; Autonomous and controlled motivations (BREQ) : AutMot (+), CtMot (n.s.)
BIV: IM (+), ID (+), INTR (n.s.), EXT (n.s), AutMot (+), CtMot (n.s.)
Accelerometry Bivariate correlations; Sequential regression analysis
Duncan et al., 2010 [ ] Cross-sectional 1079 (57) Regular exercisers (Mean 24.2 yr) Canada Exercise self-regulations (BREQ-2) + Integrated reg. scale : IM (n.s.), INTEG (+), ID (+)*, INTR (n.s.), EXT (n.s), AMOT (n.s) * PA frequency; PA intensity; PA duration (LTEQ) Bivariate correlations; Multiple regression analysis
: IM (+), INTEG (+), ID (+), INTR (+), EXT (− F)*, AMOT (−)
Sorensen et al. 2006 [ ] cross-sectional 109 (59) Psychiatric patients (Mean age group 31–49 yr) Norway Exercise regulations (based on BREQ) : IM (+), ID (n.s.), INTR (n.s.), EXT (n.s.) Self-reported exercise level Bivariate correlations; Logistic regressions
: IM (+), ID (n.s.), INTR (n.s.), EXT (−)
Puente & Anshel, 2010 [ ] Cross-sectional 238 (57) College students (Mean 20.4 yr) USA Exercise self-regulations (SRQ-E) : RAI (+) Exercise frequency Bivariate correlations; SEM
: RAI (+)
Halvary et al., 2009 [ ] Cross-sectional 190 (44) Healthy adults (Mean 21.8 yr) Norway Autonomous motivation (SRQ) : AutMot (+) Exercise frequency and duration Bivariate correlations; SEM; Mediation analysis
: AutMot (+)
Wilson et al., 2006 [ ] Cross-sectional 220; 220 (56) Cancer survivors (Mean 60–64 yr) vs non-cancer (Mean 50 yr) Canada Autonomous and controlled motivation (TSRQ-PA) : AutMot (+), CtMot (−) in both samples Self-reported exercise (min/wk of MVPA) Bivariate correlations; Multiple regression analysis
: AutMot (+), CtMot (n.s.) in both samples
Hurkmans et al., 2010 [ ] Cross-sectional 271 (66) Patients with Rheumatoid Arthritis (Mean 62 yr) Netherlands Exercise self-regulations (TSRQ-PA). Adated RAI. : RAI (+) Self-reported exercise (SQUASH) Bivariate correlations; Multiple regression analysis
: RAI (+)
Lutz et al., 2008 [ ] Cross-sectional 535 (60) University students (Mean 20 yr) USA Exercise self-regulations (EMS). Adapted RAI. : RAI (+) Self-reported exercise (LTEQ) Bivariate correlation; Preacher & Hayes mediation analysis
: RAI (+)
Wininger, 2007 [ ] Cross-sectional 143; 58 (76) Undergraduates (Mean 21–22 yr) USA Exercise self-regulations (EMS) *: IM (+), INTEG (+), ID (+), INTR (+), EXT (n.s.), AMOT (−) * Exercise stages of change; ** Distance walked on treadmill Bivariate correlations; Manovas
**: IM experience sensations (+), INTEG (n.s.), ID (n.s.), INTR (n.s.), EXT (n.s.), AMOT (−)
Craike, M., 2008 [ ] Cross-sectional 248 (53) Healthy adults (Mean 48 yr) Australia Exercise self-regulations (based on BREQ and EMS) : IM (+), ID (n.s.), INTR (n.s.), EXT (−) Self-reported LTPA SEM
Tsorbatzoudis et al., 2006 [ ] Cross-sectional 257 (55) Healthy adults (Mean 31 yr) Greece Exercise self-regulations (SMS) : IM (+), ID (+), INTR (+), EXT (−), AMOT (−) Exercise frequency (from the least to the most frequent) Multivariate analysis of variance; multiple regressions
Chatzisarantis & Biddle, 1998 [ ] Cross-sectional 102 (50) University employees (Mean 40 yr) UK Behavioral regulations for PA (SMS adaptation) : Autonomous group (vs controlled) based on RAI scores (+) Self-reported exercise (LTEQ) SEM
Matsumoto & Takenaka, 2004 [ ] Cross-sectional 486 (53) Healthy individuals (Mean 45 yr) Japan Exercise self-regulations (SDMS); profiles of self-determination : IM (+), ID (+), INTR (+), EXT (n.s.) AMOT (−); Self-determined profile (+) Exercise stages of change Bivariate correlations and cluster analysis
McNeill et al., 2006 [ ] Cross-sectional 910 (80) Healthy individuals (Mean 33 yr) USA Intrinsic and extrinsic motivations (MPA) : Intrinsic motivation (+); Extrinsic motivation for social pressure Self-reported exercise (minutes of walking, and MVPA) SEM. Indirectly through self-efficacy.
Russell & Bray, 2009 [ ] Cross-sectional and prospective (6 + 6wk) 68 (13) Cardiac rehabilitation outpatients (Mean 64.9 yr) Canada Exercise self-regulations (BREQ-2) : RAI (+) Self-reported exercise (7Day-PAR) Bivariate correlations; Multiple regression analysis
: RAI (+)
Russell & Bray, 2010 [ ] Cross-sectional and Observational (14wk) 53 M Exercise cardiac rehabilitation patients (Mean 62.8 yr) Canada Exercise self-regulations (SRQ-E) : AutMot (+) Exercise frequency; duration (+); volume (+) – 7Day-PAR Bivariate correlations; Hierarchical regression analysis
: AutMot (+), CtMot (n.s.)
Fortier et al., 2009 [ ] Prospective (6mo) 149 F Healthy adults (Mean 51.8 yr) Canada Exercise self-regulations (TSRQ-adapted) : AutMot (n.s.) Duration, Frequency, and Energy Expenditure (CHAMPS) Bivariate correlations; Mediation/regression analysis
: AutMot (n.s.), CtMot (n.s.)
Rodgers et al., 2010 [ ] Prospective 1572 (60) Initiate vs. long-term exercisers (Mean 22–51 yr) Canada Exercise self-regulations (BREQ) : IM (+), ID (+), INTR (n.s.), EXT (−) overtime for initiates, but < to regular exercisers Self-reported exercise (LTEQ); Initiate vs. long-term exercisers Manovas. Total N from 6 samples: initiates (60, 134, 38, 84), regular exercisers (202, 1054)
Barbeau et al., 2009 [ ] Prospective (1mo) 118 (65) Healthy adults (Mean 19 yr) Canada Exercise self-regulations (BREQ-2) : AutMot (+), CtMot (n.s.) Self-reported exercise (LTEQ) Bivariate correlations; Path analysis
: AutMot (+), CtMot (n.s.)
Hagger et al., 2006 [ ] Prospective (4wk) 261 (64) University students (Mean 24.9 yr) UK Relative autonomy index (based on PLOC scale) : RAI (+) Self-reported exercise (frequency) Bivariate correlations; SEM
Hagger et al., 2006 [ ] Prospective (4 wk) 261 (64) Exercise sample of university students (Mean 24.9 yr) UK Relative autonomy index (based on PLOC Scale) : RAI (+) Self-reported exercise (frequency) Bivariate correlations
Kwan et al., 2011[ ] Prospective (4 wk) 104 (58) Undergraduate students; active (Mean 18.2 yr) USA Exercise self-regulations (BREQ-2) : IM (+), ID (n.s.), INTR (n.s.), EXT (n.s.), AMOT (n.s.), RAI (n.s) Self-reported exercise (online diary) Bivariate correlations
Edmunds et al., 2007 [ ] Prospective (uncontrolled intervention) (3mo) 49 (84) Overweight/Obese patients (Mean BMI: 38.8; Mean 45 yr) on an exercise scheme UK Exercise self-regulations (BREQ-2); Integrated regulation subscale (EMS) : IM (n.s.), INTEG (+), ID (−)*, INTR (+)*, EXT (n.s.) Self-reported exercise (LTEQ); Bivariate correlations; Multilevel regression analysis.* ID and INTR multivariate outcomes resulted from net suppression; thus, not considered by the authors.
      : ID (+), INTR (−)  
Wilson et al., 2003 [ ] Experimental (12wk) 53 (83) Adults (Mean 41.8 yr; BMI: 19.9 ± 3.0 kg/m ) Canada Exercise self-regulations (BREQ) : IM (+), ID (+) Self-reported exercise (LTEQ) Bivariate correlations; Multiple regression analysis. IM and ID increased from pre- to post-exercise program
: IM (+), ID (+), INTR (n.s.), EXT (n.s.)
Sweet et al., 2009 [ ] Experimental (12mo) 234 (38) Inactive with type 2 diabetes (Mean 53 yr) on an exercise program Canada Exercise self-regulations (BREQ) : AutMot (+) Amount of PA (kcal/month) Bivariate correlations; Regression/Mediation analysis
    : AutMot (+)
Fortier et al., 2011 [ ] Experimental (13wk); RCT 120 (69) Inactive patients (Mean 47.3 yr): intensive vs. brief PA intervention Canada Exercise self-regulations (BREQ-2) : IM, ID, INTR, EXT, and RAI were not significant predictors Self-reported exercise (LTEQ) Bivariate correlations
Fortier et al., 2007 [ ] Experimental (13wk); RCT 120 (69) Autonomy supportive vs brief PA counseling (Mean 47.3 yr) Canada Treatment self-regulations (TSRQ-PA) : AutMot (+) Self-reported exercise (LTEQ) Bivariate correlations; Path/Mediation analysis
: AutMot (n.s.)
Levy & Cardinal, 2004 [ ] Experimental (2mo); RCT 185 (68) Adults (Mean 46.8 yr); SDT-based mail intervention vs. controls USA Exercise self-regulations (EMS) : IM, INTEG, ID, INTR, EXT, and AMOT were not significant predictors Self-reported exercise (LTEQ) Manovas with repeated measures
Mildestvedt et al., 2008 [ ] Experimental (4wk); RCT 176 (22) Cardiac rehabilitation patients (Mean 56 yr): SDT-based vs standard rehab treatment Norway Autonomous and controlled motivations (TSRQ) : AutMot (+); CtMot (n.s.) Self-reported exercise (composite score); exercise intensity ANOVAs with repeated measures
Silva et al., 2010 [ ] Experimental (12mo); RCT 239 F OW/Obese women (Mean 38 yr); SDT-treatment vs controls Portugal Exercise self-regulations (SRQ-E) MV: IM (+)*, ID (n.s.), INTR (n.s.), EXT (n.s.) Self-reported exercise: MVPA * (7-day PAR); lifestyle PA index Bivariate correlations; PLS analysis; Mediation analysis
BIV: IM (+), ID (+), INTR (+), EXT (n.s.)
Silva et al., 2010 [ ] Experimental (1 yr + 2y follow-up); RCT 221 F OW/Obese women (Mean 38 yr); SDT-treatment vs controls Portugal Exercise self-regulations (SRQ-E) at 1 yr and 2 yr MV: AutMot 2 yr (+), INTR 2 yr (n.s.), EXT 2 yr (n.s.) 2-yr self-reported exercise: MVPA (7-day PAR) Bivariate correlations; PLS analysis; Mediation analysis
BIV: AutMot 1 and 2 yr (+), INTR 2 yr (+), EXT 2 yr (n.s.)
Puente & Anshel, 2010 [ ] Cross-sectional 238 (57) College students (Mean 20.4 yr) USA Basic Psychological Needs Scale (BPNS); Perceived Competence Scale (PCS) : Competence (+) Exercise frequency Bivariate correlations; SEM; Relatedness not measured.
: Autonomy (n.s.), Competence (+)
Edmunds et al., 2006 [ ] Cross-sectional 369 (52) Healthy individuals (Mean 31.9 yr) UK Psychological need satisfaction (BNSWS adapted) : Autonomy (n.s.), Competence (+), Relatedness (n.s.) Self-reported exercise (total and strenuous PA; LTEQ) Bivariate correlations; Regression analysis; mediation analysis
: Autonomy (+), Competence (+), Relatedness (+)
Edmunds et al., 2006 [ ] Cross-sectional 339 (53) Symptomatic vs asymptomatic for exercise dependence (Mean 32.1 yr) UK Psychological need satisfaction (BNSWS adapted) : Autonomy (n.s.), Competence (+), Relatedness (n.s.) Self-reported exercise (total and strenuous PA; LTEQ) Bivariate correlations. No associations with mild/moderately intense PA
Peddle et al., 2008 [ ] Cross-sectional 413 (46) Colorectal cancer survivors (Mean 60 yr) Canada Psychological need satisfaction (PNSE) : Autonomy (+), Competence (+), Relatedness (+) Self-reported exercise (LTEQ) Bivariate correlations
McDonough et al., 2007 [ ] Cross-sectional 558 (72) Recreational dragon boat paddlers (Mean 45 yr) Canada Exercise need satisfaction (PNSE) : Autonomy (−), Competence (+) Self-reported exercise (LTEQ) Bivariate correlations; SEM
: Autonomy (n.s.), Competence (+), Relatedness (n.s.)
Sebire et al., 2009 [ ] Cross-sectional 410 (71) Exercisers (Mean 41.4 yr) UK Exercise need satisfaction (PNSE) : Exercise need satisfaction (composite score) (+) Self-reported exercise (LTEQ) Bivariate correlations
Milne et al., 2008 [ ] Cross-sectional 558 F Breast cancer survivors (Mean 59 yr) Australia Perceived competence (PCS) : Competence (+) Self-reported exercise (LTEQ); Exercise categories (meeting vs. not meeting guidelines) Anovas; Hierarchical regression analysis
: Competence (+)
Halvary et al., 2009 [ ] Cross-sectional 190 (44) Healthy adults (Mean 21.8 yr) Norway Perceived competence (PCS) : Competence (n.s.) Exercise frequency and duration Bivariate correlations; SEM/Mediation analysis
: Competence (+)
Vlachopoulos & Michailidou, 2006 [ ] Cross-sectional 508 (50) Greek adults (Mean 30 yr) Greece Psychological needs satisfaction in exercise (BPNES) : Autonomy (n.s.), Competence (+); Relatedness (n.s.) Exercise frequency SEM
Markland & Tobin, 2010 [ ] Cross-sectional 133 F Exercise referral scheme clients UK Autonomy need (LCE); Perceived Competence (IMI); Relatedness (8-item scale) : Autonomy (+), Competence (+), Relatedness (n.s.) Self-reported exercise (LTEQ) Bivariate correlations
Russell & Bray, 2009 [ ] Cross-sectional and prospective (6 + 6wk) 68 (13) Cardiac rehabilitation outpatients (Mean 64.9 yr) Canada Exercise need satisfaction (PNSE) : Autonomy (n.s.), Competence (+)*, Relatedness (n.s.) Self-reported exercise (7Day-PAR) at 3wk and 6wk* follow-up Bivariate correlations
Barbeau et al., 2009 [ ] Prospective (1mo) 118 (65) Healthy adults (Mean 19 yr) Canada Exercise need satisfaction (PNSES) : Autonomy (+), Competence (+), Relatedness (+) Self-reported exercise (LTEQ) Bivariate correlations
Hagger et al., 2006 [ ] Prospective (4 wk) 261 (64) Exercise sample of university students (Mean 24.9 yr) UK Psychological need satisfaction : Psychological need satisfaction (composite score) (+) Self-reported exercise (frequency). Bivariate correlations
Edmunds et al., 2007 [ ] Prospective (uncontrolled intervention) (3mo) 49 (84) OW/Obese patients (BMI: 38.75; Mean 45 yr) UK Psychological need satisfaction (PNSS) : Autonomy (n.s.), Competence (n.s.); Relatedness (n.s.) Self-reported exercise (LTEQ); (Increase in relatedness overtime) Multilevel regression analysis; Paired T-tests
Fortier et al., 2007 [ ] Experimental (13 wk); RCT 120 (69) Healthy adults (Mean 47.3 yr) Canada Perceived Competence (PCES) : Competence (+) Self-reported exercise (LTEQ) Path analysis; Mediation analysis
Levy & Cardinal, 2004 [ ] Experimental (2mo); RCT 185 (68) Adults (Mean 46.8 yr); SDT-based mail intervention vs. controls USA Perceived autonomy satisfaction (LCE) : Autonomy (+ F), Competence (n.s.), Relatedness (n.s.) Self-reported exercise (LTEQ) Manovas with repeated measures
Silva et al., 2010 [ ] Experimental (12mo); RCT 239 F OW/Obese women (Mean BMI: 31.5; Mean 38 y); SDT-based weight loss treatment vs controls Portugal Perceived autonomy satisfaction (LCE); Competence (IMI) : Autonomy (+), Competence (+) Self-reported exercise: MVPA (7-day PAR); lifestyle PA index Bivariate correlations
Ingledew et al., 2009 [ ] Cross-sectional 251 (52) University Students (Mean 19.5 yr) UK Exercise motives (EMI-2) : Intrinsic motives: Stress management (+), Affiliation (+), Challenge (+); Extrinsic: Health/fitness (+); body-related (n.s.) Self-reported exercise (measure analogous to LTEQ) Partial Least Squares Analysis (PLS); Mediation analysis
Ingledew & Markland, 2008 [ ] Cross-sectional 252 (48) Office workers (Mean 40 yr) UK Exercise motives (EMI-2) : Intrinsic motives (n.s.), Extrinsic motives: health/fitness (+) and body-related (−) Self-reported exercise (measure analogous to LTEQ) Bivariate correlations
Frederick & Ryan, 1993 [ ] Cross-sectional 376 (64) Healthy individuals (Mean 39 yr) USA Exercise motives (MPAM) Intrinsic motives: interest/enjoyment (+); competence (+); Extrinsic motives: body-related (+) Self-reported exercise (levels, intensity) Differences between PA categories; correlations and Manovas
Frederick et al., 1996 [ ] Cross-sectional 118 (68) College students (Mean 22 yr) USA Exercise motives (MPAM-r) : Extrinsic: body-related (+ M) Self-reported exercise: frequency, volume Bivariate correlations; Multiple regression analysis
: Intrinsic motives (+ F), Extrinsic: body-related (+ M)
Buckworth et al., 2007 [ ] a Cross-sectional 184;220 (60) University students (Mean 18–22 yr) USA Exercise motives (EMI and IMI; total and subscales) Intrinsic motives (except choice) (+); Extrinsic motives (except tangible rewards) (+) Exercise stages of change Anovas and profile analysis
Sebire et al., 2009 [ ] Cross-sectional 400 (73) Exercisers (Mean 41.4 yr) UK Exercise goal content (GCEQ) : Intrinsic motives (+) Self-reported exercise (LTEQ) Bivariate correlations; Hierarchical regression analysis
: Intrinsic motives (+)
Segar et al., 2006 [ ] Cross-sectional 59 F Healthy adults (Mean 45.6 yr) USA Body and non-body shape motives for exercise (via inductive, qualitative methods) : Body motives (−); non-body shape motives (+). Self-reported exercise (LTEQ) Hierarchical regression analysis
Sit et al., 2008 [ ] Cross-sectional 360 F Chinese adults (30–59 yr) China Exercise motives (MPAM-r) : Intrinsic motives : competence/challenge (+), interest/enjoyment (+); Extrinsic: fitness/health (+); appearance (n.s.) Exercise stages of change Manovas
Davey et al., 2009 [ ] Cross-sectional 134 (66) Employees (estimated mean age between 25–44 yr) New Zeland Exercise motives (based on MPAM-r and SMS) : Intrinsic motives: enjoyment (+), competence/challenge (+); Extrinsic: appearance (−); Fitness (n.s.) Total number of steps in 3wk Multiple regression analysis
Segar et al., 2008 [ ] Prospective 156 F Healthy women (Mean 49.3 yr) USA Extrinsic and Intrinsic goals (based on a list of goals and on cluster analysis) : Intrinsic goals (+); Extrinsic goals: weight maintenance/toning (−); health benefits (−) Self-reported exercise (LTEQ) Linear mixed model
Ingledew et al., 1998 [ ] Prospective (3mo) 425 (34) Government employees (Mean 40 yr) UK Exercise motives (EMI-2) : Intrinsic motives: enjoyment (+); Extrinsic: body-related (+ action; - maintenance); health pressures (+ preparation; - action/maintenance) Exercise stages of change Discriminant function analysis
Ryan et al., 1997 [ ] a Prospective (10wk) 40 (80) University students and employees (Mean 21 yr) USA Exercise motives (MPAM) : Intrinsic motives: enjoyment (+), competence (+); body-related motives (n.s.) Reduced dropout and attendance to exercise classes Manovas and multiple regressions
Ryan et al., 1997 [ ] b Prospective (10wk) 155 (57) New fitness center members (Mean 19.5 yr) USA Exercise motives (MPAM-R) : Intrinsic motives: enjoyment (+), competence (+), social interactions (+); Extrinsic motives: fitness (n.s.), appearance (n.s.) Attendance to and duration of exercise workout Manovas and multiple regressions
Buckworth et al., 2007 [ ] b Experimental (10wk) 142 (66) College Students (Mean 21.3 yr) USA Exercise motives (EMI and IMI); : Intrinsic motives: effort/competence (+) and interest/enjoyment (+); Extrinsic motives: appearance (+) * Exercise patterns (from stable inactive to stable active); Activity vs. Lecture (no activity) Classes * Anovas with repeated measures.
Peddle et al., 2008 [ ] Cross-sectional 413 (46) Colorectal cancer survivors (Mean 60 yr) Canada Perceived need support (PAS, based on HCCQ-short) : Need support (+) Self-reported exercise (LTEQ) Bivariate correlations
Milne et al., 2008 [ ] Cross-sectional 558 F Breast cancer survivors (Mean 59 yr) Australia Perceived need support (mHCCQ) : Need support (+)
: Need support (+)
Self-reported exercise (LTEQ); exercise categories (meeting vs. not meeting guidelines) Anovas; Hierarchical regression analysis
Hurkmans et al., 2010 [ ] Cross-sectional 271 (66) Patients with Rheumatoid Arthritis (Mean 62 yr) Netherlands Perceived need support (HCCQ-mod) : Need support (n.s.) Self-reported PA (SQUASH) Bivariate correlations; Multiple regression analysis
: Need support (n.s.)
Halvary et al., 2009 [ ] Cross-sectional 190 (44) Healthy adults (Mean 21.8 yr) Norway Perceived need support (SCQ based on HCCQ) : Need support (+) Exercise frequency and duration Bivariate correlations
Markland & Tobin, 2010 [ ] Cross-sectional 133 F Exercise referral scheme clients UK Need support (15-item scale) : Need support (n.s.) Self-reported exercise (LTEQ) Bivariate correlations
Puente & Anshel, 2010 [ ] Cross-sectional 238 (57) College students (Mean 20.4 yr) USA Exercise need support (SCQ) : Need support (+) Exercise frequency Bivariate correlations
Russel & Bray, 2010 [ ] Cross-sectional and prospective (14wk) 53 M Exercise cardiac rehabilitation patients (Mean 62.8 yr) Canada Perceived need support (HCCQ-short) : Need support (n.s.) Exercise frequency; duration (+); volume – 7Day-PAR Bivariate correlations; Hierarchical regression analysis
: Need support (+)
Levy et al., 2008 [ ] Prospective (8-10wk) 70 (37) Injured exercisers in rehabilitation (Mean 33 yr; 69% recreational) UK Perceived need support (HCCQ) : Need support (+) Exercise adherence: clinical, home-based; attendance Bivariate correlations; Manovas
: Need support (+)
Edmunds et al., 2007 [ ] Uncontrolled Prospective (3mo) 49 (84) OW/Obese patients (BMI: 38.75; Mean 45 yr) on an exercise scheme UK Perceived need support (HCCQ) : Need support (n.s.) Self-reported exercise (LTEQ); Multilevel regression analysis
Fortier et al., 2007 [ ] Experimental (13 wk); RCT 120 (69) Autonomy supportive vs. brief PA counseling (Mean 47.3 yr) Canada Perceived need support (HCCQ) : Need support Self-reported exercise (LTEQ) Bivariate correlations
Mildestvedt et al., 2008 [ ] Experimental (4wk); RCT 176 (22) Cardiac rehabilitation patients (Mean 56 yr): autonomy supportive vs. standard rehab Norway Perceived need support (mHCCQ) : Need support (n.s.) Self-reported exercise (composite score); exercise intensity Manovas with repeated measures
Silva et al., 2010 [ ] Experimental (12mo); RCT 239 F OW/Obese women (Mean BMI: 31.5; Mean 38 y): SDT-based WL treatment vs. controls Portugal Perceived need support (HCCQ) : Need support (+) Self-reported exercise: MVPA (7-day PAR); lifestyle PA index Bivariate correlations; PLS/mediation analysis
: Need support (+)
Silva et al., 2010 [ ] Experimental (1 yr + 2y follow-up); RCT 221 F OW/Obese women (Mean BMI: 31.5; Mean 38 y): SDT-based WL treatment vs. controls Portugal Perceived need support (HCCQ) : Need support (+) Self-reported exercise: MVPA (7-day PAR) Bivariate correlations
Rose et al., 2005 [ ] Cross-sectional 375 (51) Volunteers (17–60 yr) UK Exercise causality orientations (ECOS) : Autonomy O. (+), Controlling O. (− F), and Impersonal O. (−) Exercise stages of change Discriminant function analysis. Gender differences
Kwan et al., 2011[ ] Prospective (4 wk) 104 (58) Undergraduate students; active (Mean 18.2 yr) USA Exercise causality orientations (ECOS) : Autonomy O. (+), Controlling O. (−), and Impersonal O. (n.s.) Self-reported exercise (online diary) Bivariate correlations
Edmunds et al., 2008 [ ] Experimental (10wk) 55 F Exercisers (Mean 21 yr) UK Exercise self-regulations (BREQ-2); Need support (PESS); Basic needs (PNSS); Exercise attendance Groups: SDT-based exercise classes vs. traditional exercise classes Higher perceived need support, autonomy and relatedness needs; Competence (+), INTRO (+) and amotivation (−) overtime for both groups Higher exercise attendance Multilevel regression analysis
Fortier et al., 2007 [ ] Experimental (13wk); RCT 120 (69) Healthy adults (Mean 47.3 yr) Canada Exercise self-regulations (TSRQ-PA); Perceived Competence (PCES); Need Support (HCCQ); Self-reported exercise (LTEQ) Groups: autonomy supportive vs. brief PA counseling Higher perceived need support, autonomous motivation overtime Higher reported exercise overtime Ancovas
Fortier et al., 2011 [ ] Experimental (13wk); RCT 120 (69) Inactive primary care patients (Mean 47.3 yr): intensive vs. brief PA counseling intervention Canada Exercise self-regulations (BREQ-2); Self-reported exercise (LTEQ) Groups: autonomy supportive - intensive vs. brief PA counseling Higher perceived need support, autonomous motivation overtime Higher reported exercise overtime Ancovas
Mildestvedt et al., 2008 [ ] Experimental (4wk); RCT 176 (22) Cardiac rehabilitation patients (Mean 56 yr): autonomy supportive vs. standard rehab Norway Exercise self-regulations (TSRQ); Perceived need support (mHCCQ); Self-reported exercise Groups: autonomy supportive vs. standard rehab No significant differences No significant differences Anovas with repeated measures
Levy & Cardinal, 2004 [ ] Experimental (2mo); RCT 185 (68) Adults (Mean 46.8 yr); SDT-based mail intervention vs. controls USA Exercise self-regulations (EMS); Perceptions of autonomy (LCE); Competence (PSPP); Self-reported exercise (LTEQ) Groups: SDT-based mail vs. controls Women only: increase in perception of autonomy Women only: increase self-reported exercise Anovas with repeated measures
Silva et al., 2010 [ ] Experimental (12mo); RCT 239 F OW/Obese women (Mean BMI: 31.5; Mean 38 y); RCT Portugal Exercise self-regulations (SRQ-E); Need support (HCCQ); Perceived autonomy (LCE); Self-reported exercise (MVPA, lifestyle, steps) Groups: SDT-based weight loss treatment vs. controls Higher need supportive climate, autonomy satisfaction, IM, IDENT, INTRO Higher reported exercise (all measures) Effect sizes; T-tests
Silva et al., 2011 [ ]Experimental (1 yr + 2y follow-up); RCT221 FOW/Obese women (Mean BMI: 31.5; Mean 38 y); RCTPortugalExercise self-regulations (SRQ-E) at 1 yr and 2 yr; Need support (HCCQ); Self-reported exercise (MVPA)Groups: SDT-based weight loss treatment vs. controlsHigher 2-yr EXT, INTRO and autonomous regulationsHigher 2-yr reported exerciseEffect sizes; T-tests

Legend: F, female; M, male ; BIV, uni/bivariate associations; MV, multivariate associations; IM, intrinsic motivation; INTEG, integrated regulation; ID, identified regulation; INTR, introjected regulation; EXT, external regulation; AMOT, amotivation; RAI, relative autonomy index; AutMot, autonomous motivations; CtMot, controlled motivations; Autonomy O., autonomy orientation; Controlling O., controlling orientation; Impersonal O., impersonal orientation; (+), positive association; (-), negative association; (n.s.), not significant. Superscript letters are used to signal associations between specific predictors and outcomes (check the ‘significant predictors’ and ‘outcomes’ columns when applied). (*) is used when specific comments need to be made (check the ‘observations’ column on those cases).

Organization of SDT predictors

Studies were generally organized based on the self-determination theory process model, depicted in Figure ​ Figure1. 1 . The goal of the present manuscript was not to test this model per se , which would involve a considerably larger analysis. Instead, we focused exclusively on relations between each of these categories of variables and exercise outcomes (described below). Results concerning exercise self-regulations are listed first, followed by findings reporting the association between psychological needs satisfaction and exercise behavioral outcomes. Next, results concerning the measures of exercise motives/goals are reported, followed by findings regarding the association between perceived need support and exercise. Exercise causality orientation studies are listed last. In addition, we also identified interventions based on SDT and analyzed their effects on exercise outcomes.

Exercise-related outcomes

Exercise behavior was evaluated through self-reported measures (e.g., 7-day Physical Activity Recall (PAR) [ 25 ], Godin Leisure-Time Exercise Questionnaire (LTEQ) [ 26 ]) in a total of 55 independent samples (78%). Three studies (representing 4 original samples) used accelerometry or pedometry to measure physical activity (6%). Measures of stages of change for exercise participation were employed in 13 samples (18%). A few other indicators were also used in some cases (8%), namely exercise attendance, number of exercise relapses, and exercise dropout.

Data coding and analyses

Summary tables were created based on the analysis of the available data (Tables ​ (Tables2 2 and ​ and3). 3 ). Sample characteristics (i.e., sample size, age, gender) were summarized using a tallying system and resulted in total counts (see Table ​ Table2). 2 ). The percentage of independent samples presenting each characteristic from the total number of samples was also included. A summary of the evidence for each SDT-based construct was determined through a calculation of the percentage of independent samples supporting each association, based on whether the association was statistically significant or not (see Table ​ Table3). 3 ). In all studies, significance level was set at 0.05. The measures of association varied across the studies’ statistical methods, as indicated in the column “observations” in Table ​ Table1, 1 , including correlation and multiple regression coefficients, t -test or ANOVA group differences (e.g., between active and inactive groups), discriminant function coefficients, and structural equation model path coefficients, among others. Because many studies included bivariate associations (or direct paths in structural models) and also multivariate associations (in regression or in structural models), these were analyzed separately (see Table ​ Table2). 2 ). A sum code was built for each motivational construct based on the following classification system: Positive (++) for percentage K ≥75% and (+) for percentage K between 50-75% showing positive associations in both bivariate and multivariate tests; 0/+ or 0/- when the evidence was split between no association (0) and either positive or negative associations, respectively; and (?) for other results indicating inconsistent findings or indeterminate results due to a small number of studies available).

Summary of samples characteristics

Sample size  
< 100 13 (18.0)
100-300 38 (52.8)
300-500 12 (16.7)
≥ 500 9 (12.5)
Gender  
Women only 11 (15.3)
Men only 1 (1.4)
Men and Women – Combined 46 (63.9)
Men and Women – Separately 14 (19.4)
Location  
Western countries 70 (97.2)
Non-western countries 2 (2.8)
Mean age, years  
≤24 21 (29.2)
25-44 28 (38.8)
45-64 22 (30.6)
≥ 65 1 (1.4)
Design  
Cross-Sectional 45 (62.5)
Longitudinal – Observational 16 (22.2)
Longitudinal – Experimental 9 (12.5)
Mixed Method 2 (2.8)
Exercise Data Collection  
Self-reported Exercise 56 (77.8)
Exercise Stages of Change 13 (18.1)
Accelerometry/pedometry 4 (5.6)
Other* 6 (8.3)
Total 72

Note: *Exercise relapses, weekly attendance, exercise adherence (home; clinical), exercise dropout.

Summary of associations between SDT predictors and exercise-related outcomes

    
Exercise Regulations/Motivations
Intrinsic motivation 26 (22) 37 (24) 62 (92) 0 (0) 38 (8)
Integrated regulation 6 (3) 8 (4) 62 (75) 0 (0) 38 (25)
Identified regulation 27 (24) 38 (26) 74 (85) 2 (0) 24 (15)
Introjected regulation 26 (25) 37 (27) 30 (52) 5 (4) 65 (44)
External regulation 26 (24) 37 (26) 0 (0) 43 (23) 57 (77)
Amotivation 10 (11) 14 (13) 0 (0) 36 (69) 64(31)
Relative autonomy (e.g., RAI) 8 (13) 8 (12) 88 (83) 0 (0) 12 (17)
Autonomous regulations 10 (10) 11 (11) 91 (82) 0 (0) 9 (18)
Controlled regulations 4 (6) 5 (7) 0 (0) 60 (0) 40 (100)
Need-Supportive Climate 6 (11) 6 (11) 50 (73) 0 (0) 50 (27)
Psychological Needs in Exercise
Autonomy 4 (9) 5 (10) 20 (50) 20 (0) 60 (50)
Competence 8 (12) 9 (13) 56 (92) 0 (0) 44 (8)
Relatedness 4 (7) 4 (8) 0 (38) 0 (0) 100 (62)
Composite score* 0 (2) 0 (2) 0 (100) 0 (0) 0 (0)
Exercise Motives/Goals
Intrinsic 7 (5) 8 (8) 100 (75) 0 (0) 0 (25)
Health/fitness 6 (1) 6 (1) 33 (100*) 33 (0) 33 (0)
Body-related 7 (5) 8 (8) 25 (63) 25 (12) 50 (25)
Exercise Causality Orientations
Autonomy* 1 (1) 2 (1) 100 (100) 0 (0) 0 (0)
Controlling* 1 (1) 2 (1) 0 (0) 50 (100) 50 (0)
Impersonal*1 (1)2 (1)0 (0)100 (0)0 (100)

Legend: Results derived from multivariate analyses and uni/bivariate analyses (in parenthesis) are presented. K , number of samples. Positive (++) was used for percentage K ≥75% and (+) for percentage K between 50-75% for both bivariate and multivariate associations; 0/+ or 0/- when the evidence was split between no association (0) and either positive or negative associations, respectively; (?) for other results indicating inconsistent findings or indeterminate results (i.e., when only a small number of studies were available, marked with *).

Characteristics of studies and samples

The 66 located studies comprised a total of 72 independent samples. The number of samples was higher than the total number of studies because some studies analyzed data originating from more than one sample (two samples: [ 27 ], [ 28 ], [ 29 ]; three samples: [ 30 ]; six samples: [ 31 ]). On the other hand, 7 studies were published using data from three original samples ([ 18 , 33 , 32 ]; [ 35 , 34 ]; [ 17 , 36 ]). A summary of the demographic characteristics of participants and samples is reported in Table ​ Table2. 2 . Samples tended to be mixed gender and included a range of populations (e.g., healthy individuals, chronic disease patients, overweight/obese individuals, exercisers), predominantly from Western cultures (97%), and mainly aged between 25–65 years-old.

From the studies eligible for this review, 53 ( K  = 57) analyzed associations between self-regulations and exercise behavioral outcomes, 17 studies ( K  = 17) investigated the relations between basic psychological needs and exercise, 12 studies ( K  = 15) tested the associations between motives and exercise, and 13 studies ( K  = 12) included measures of perceived need support and evaluated its predictive effect on exercise-related outcomes (see Table ​ Table3). 3 ). Seven intervention studies, corresponding to 6 actual interventions, were identified. It should be noted that relations reported in the intervention studies were also analyzed in the other sections (e.g., regulations, need support, etc.)

Motivational predictors of exercise-related outcomes

Exercise behavioral regulations. A total of 57 samples (53 studies) analyzed associations between regulations and exercise behavior. Of these, 37 were used in cross-sectional designs, 10 in prospective designs, 7 in experimental studies, and 2 in mixed designs. Regulations were assessed with different instruments (53% with the Behavioural Regulation in Exercise Questionnaire (BREQ) and with Markland and Tobin’s revised version (BREQ-2) [ 37 ] and reported results in several ways: Relative autonomy was evaluated as a composite score (e.g., the Relative Autonomy Index (RAI), by which individual regulations are weighted and summed to give an index of the extent to which a person’s behavior is more or less autonomously regulated) in 23% of the cases (none of which were experimental designs); autonomous and controlled regulations were grouped and analyzed as two higher-level types of regulation in 21% and 14% of the cases, respectively. All major forms of regulation were assessed and discriminated in 71% of the cases.

Nearly all studies using measures of relative autonomy (8 of 9  K ) reported positive associations with exercise behavior while studies investigating autonomous and controlled forms of regulation ( K =  11 and K =  5, respectively) also found consistent, positive associations favoring autonomous regulations as a predictor of exercise outcomes (82/91%, depending on whether bivariate or multivariate analysis is used). On the other hand, 3 independent samples (60%) showed negative associations in multivariate models for non self-determined regulations, all others (40%) showing no association. In bivariate analyses, results for controlled regulations unanimously showed no association. Results were similar across different study designs, suggesting consistent positive effects of autonomous regulations on exercise behavior, and either negative or null effects associated with controlled regulations. In one study with longer-term follow-up measurements, prospective associations between regulations and exercise behavior were reported [ 33 ] (see also Figure ​ Figure2). 2 ). The authors found that both 12 and 24-month autonomous regulations, but not controlled regulations, mediated the effects of a SDT-based intervention on self-reported exercise at 24 months [ 32 ].

An external file that holds a picture, illustration, etc.
Object name is 1479-5868-9-78-2.jpg

Title. Self-reported minutes of moderate and vigorous exercise per week as a function of exercise autonomous motivation. Analysis includes 141 participants of the PESO trial [ 67 ] and data reports to variables assessed at 12 months (intervention end), 24 months (1 year follow-up with no contact) and 36 months (2-year follow-up). The time-point values in exercise and motivational variables at each assessment period were used (not change). Values used for tertile-split groups of autonomous motivation were calculated including all subjects (intervention and control groups collapsed), adjusting for experimental group membership. Autonomous motivation includes the identified regulation and intrinsic motivation subscales of the Exercise Self-Regulation Questionnaire [ 84 ]. Self-reported exercise was assessed with the 7-day Physical Activity Recall interview [ 25 ] and quantifies moderate and vigorous structured physical activity (METs > 3) performed in the previous week (or typical of the previous month if previous week was atypical, see reference 27 for more details). Panels B, D, and F show cross-sectional associations (variables assessed at the same time point) and panels A, C, and E show “prospective” associations (motivation assessed one year earlier than exercise). F for one-way ANOVA with letters in bar indicating multiple comparisons with Bonferroni post-hoc tests (different letters indicate different means, p < .05).

Specific results concerning the separate autonomous types of motivation showed positive associations between identified regulation and exercise behavior in 28 samples (74%) in multivariate analyses and 22 samples (85%) in bivariate analyses. The only exception was a study by Moreno et al. where the mean value for identified regulation was lower in a group reporting 60+ min of exercise than among those who exercised less than 60 min (presumably each day; no details are provided). Of note also are the mixed results found by Edmunds et al. (2007) displaying negative associations for identified regulations in a multilevel model, but positive cross-sectional associations at each of the 3 times points. The authors indicated that the multilevel results “should be ignored as they are a consequence of net suppression” [ 38 ]; pg.737]. In 3 studies that analyzed identified regulations [ 36 , 40 , 39 ], no significant association emerged. Regarding intrinsic motivation, positive associations with exercise behavior were reported in 23 or 22 independent samples (62% or 92%), in multivariate or bivariate analyses respectively. No study reported negative associations and results were consistent independent of study design. Few studies have tested the role of integrated regulation, but it appears to positively predict exercise behavior. Of 8 samples analyzed, 62-75% found positive associations with physical activity, with increased consistency found in bivariate analyses.

In an attempt to further clarify which single self-determined type of motivation is more closely related with behavior outcomes, a comparative analysis between identified and intrinsic motivation findings was undertaken. Twenty-five studies ( K =  31) reported significant associations for both variables, of which 12  K were derived from multivariate analysis, 5  K from correlational analysis, and 4  K from both types of analysis. Seven studies ( K =  7) found associations for identified regulation in multivariate analysis, but only bivariate associations for intrinsic motivation [ 44 , 45 , 43 , 42 , 41 ]. Three studies/samples showed the converse [ 48 , 47 , 33 ], reporting associations for intrinsic motivation in multivariate analysis and only correlational bivariate associations for identified regulation. It should be noted that no study tested whether the differences between the association coefficients (for identified regulation vs. intrinsic motivation) with exercise were significant. Wilson et al. (2002) investigated bivariate predictors of different physical activity intensities [ 49 ] and found that at mild intensities, associations were significant only for identified regulation; for moderately intense and strenuous exercise, both identified regulation and intrinsic motivation were significant predictors. Three additional studies/samples showed significant associations only for identified regulation [ 50 , 51 , 38 ]. In another study ( K =  1) this regulation was the only variable predicting fewer exercise relapses [ 52 ]. On the other hand, two studies found significant associations only for intrinsic motivation [ 54 , 53 ].

For integrated regulation, only 6 studies ( K  = 8) were available. Comparing results for integrated versus identified regulations no differences were found in the patterns of association for all but one study [ 85 ] where there was a significant bivariate association with exercise for integrated but not identified regulation. Comparing results between integrated regulation and intrinsic motivation, two studies show integrated regulation, but not intrinsic motivation, as a significant predictor of exercise in multivariate models [ 41 , 38 ] whereas in a different study the opposite trend was observed using bivariate associations [ 28 ].

All studies measuring stages of change for exercise participation ( K =  7) showed that autonomous regulations increased across stages, being the highest in the action/maintenance stages. However, only one study formally tested differences for regulations’ means across stages of change [ 52 ]. They found that for identified regulation there was a progressive increase from preparation to action to maintenance stage (ANOVA F = 25.1, p < 0.001) whereas for intrinsic motivation, maintenance had significantly higher means than both preparation and action stages (F = 27.5, p < 0.001). Five of these studies used the BREQ/BREQ-2 and 4 of these used discriminant function analysis. In these 4 studies, identified regulation loaded slightly stronger than intrinsic motivation on the primary discriminant functions distinguishing across stages of change. Authors tended to conclude that identified regulation played a more important role in exercise adherence when the full range of stages of change is considered. Finally, in a study examining change in behavioral regulations among exercise initiates, Rodgers et al. showed that both identified and intrinsic motivation increased overtime and that, compared to regular exercisers, initiates’ levels of identified and intrinsic motivations remained below regular exercisers’ levels even after 6 months of physical activity [ 31 ]. Authors also concluded that identified motivation appeared to increase faster than intrinsic motivation in these early stages of exercise adoption [ 31 ].

Results from multivariate analysis concerning the controlled types of motivation showed negative associations between external regulation and exercise behavior in 16 independent samples (43%). The remaining samples (57%) showed no associations. The trend for the absence of an association between external regulation and exercise was more apparent in bivariate analysis (77%). Regarding external regulation across stages of change, results show that external regulation generally decreases across stages, being higher in the preparation/action stages than in the maintenance stage. Furthermore, when comparing genders, results suggest that among males external regulation is negatively associated with exercise in the latter stages of change (i.e., maintenance) whereas among female there is no association at this stage.

Regarding introjected regulation, multivariate analysis showed positive associations with physical activity in 11 independent samples (30%), 1 study ( K = 2 ) found negative associations (5%) and all others showed no association (65%). Bivariate results pointed in a similar direction, but showed more positive associations (52%). Despite the positive associations with exercise behaviors, the strength of association for introjected regulation appears to be lower compared to self-determined types of motivation, as reported in several studies [e.g., [ 55 , 49 ]. A closer look into the way introjected regulation predicts exercise participation over time shows mixed findings. Rodgers et al. (2010) studied initiate exercisers and found significant, but small, increases in introjection overtime, noting that these changes occurred mainly in the early stages of exercise participation [ 31 ]. Increases in introjected regulation were also observed across stages of change in 5 of 7 independent samples, although these were only significant in one case [e.g., [ 52 ]. In contrast, Silva and colleagues showed that although introjected regulation was cross-sectionally associated with exercise at 12- and 24-month time points, 12-month regulation did not prospectively predict (nor did it mediate) 24-month exercise outcomes [ 33 , 32 ].

A possible gender effect might be relevant to understand these mixed findings regarding introjected regulations. In effect, a closer examination of all the studies that explored gender differences with respect to the association between exercise regulations and behavior suggests that introjected regulation may be more positively associated with exercise among females, whereas among males the association is negative or zero [e.g., [ 45 , 41 ]. Within the studies examining differences across stages, results suggest that introjection is relevant for both genders in the action stage, but that in the maintenance stage it is more relevant for women than for men [ 56 , 55 ]. It should be noted that only two studies reported associations for men: one showed a positive association in the action stage and negative in the maintenance stage [ 55 ] and another study showed a tendency towards a positive association in the action/maintenance stage [ 57 ]. For studies with mixed samples and not reporting gender differences (the majority) the associations are mixed. Experimental studies confirm this pattern of mixed results, some showing increases in introjected regulation over the course of an exercise program [e.g., [ 39 ] and some showing no significant changes [e.g., [ 58 ]. One notes that null or unreliable results from introjection are theoretically expected within SDT, in which introjection is seen as an unstable basis for motivation without positive long-term utility.

Regarding amotivation, 5 independent samples (36%) showed negative associations with exercise outcomes in multivariate analysis; the remaining studies ( K =  9) showed no associations. Correlational analysis showed negative associations in 9 samples (69%) and no association in 4 samples (31%).

Need satisfaction. A total of 17 samples/studies were used to analyze the associations between basic psychological needs and exercise behavior. Ten samples were evaluated in cross-sectional designs, 3 within prospective studies and 3 in experimental designs. One study used mixed methods (cross-sectional and prospective). Different instruments were used to assess basic needs, a fact that does not facilitate the comparison of results between studies. The Psychological Need Satisfaction for Exercise Scale [ 16 ] was adopted in 24% of the cases and was the most frequently used measure. Competence was assessed in 14 (82%) independent samples, autonomy in 11 (65%) samples, and relatedness in 9 (53%) independent samples. An examination of the specific multivariate results for each basic need showed that perceived competence was positively associated with physical activity in 56% of the independent samples, while the remaining samples showed no association (44%). The pattern of association was much clearer in correlational analysis with 12 samples (92%) reporting positive associations. Regarding autonomy need satisfaction, findings were mixed and generally ranged from no association (60% in multivariate analysis) to moderate positive or negative associations (20% for each). Nevertheless, positive correlations were reported in 5 studies/samples (50%) using bivariate analysis. Regarding relatedness, multivariate results consistently reported an absence of associations with exercise behavior ( K =  4, 100%). Correlations showed a similar pattern, even though a general trend towards a positive association with exercise behavior was identified (38%). No negative associations with exercise outcomes were observed for the perceived fulfillment of any of the 3 needs. A composite score was created to assess overall exercise psychological need satisfaction in 2 (of 17) samples; positive associations with exercise behavior were reported in both cases.

Exercise motives. A total of 12 studies ( K =  15) investigated the associations between motives (or goal contents) and exercise behavior. Of these studies, 8 were cross-sectional, 3 prospective, and 1 used a mixed design (cross-sectional and experimental). Regarding the instruments used to measure exercise motives, there is some inconsistency: the Motives for Physical Activity Measure (MPAM) or MPAM revised/adapted versions [ 59 , 27 ] of it were used in 6 independent samples (40%), 3 samples (20%) measured exercise motives using the Exercise Motivations Inventory - 2 (EMI-2) [ 60 ], and in other 3 samples (20%) the Intrinsic Motivation Inventory (IMI) [ 61 ] was employed to evaluate intrinsic motives and the Extrinsic Motivation Inventory (Lee’s EMI) [ 62 ] to measure extrinsic motives. Sebire and colleagues (2009) [ 19 ] used the recently developed Goal Content for Exercise Questionnaire [ 63 ] while Segar and colleagues used an inductive, qualitative method to assess exercise motives in one study [ 64 ], and performed a cluster analysis to identify homogeneous groups of goals, intrinsic and extrinsic, in another study [ 65 ].

Multivariate results showed that intrinsic motives (e.g., challenge, affiliation, enjoyment) were positively associated with exercise behavior in all samples ( K =  8, 100%). A similar trend was observed in correlations (75%). Regarding body-related motives, multivariate findings were mixed regardless of the statistical analysis performed: in multivariate analysis, 25% of the samples showed positive associations and 25% reported negative associations; in correlational analysis, a general trend towards a positive association was identified (63%). The pattern of association was less clear for health/fitness motives with 33% showing positive associations, 33% showing negative associations, and other 33% not finding any association. There was only one study/sample performing correlational analysis to explore the links between health motives and exercise [ 46 ]; positive associations were reported. As expected from theory, controlled motives (social recognition, appearance/weight) did not predict, or negatively predicted, exercise participation [ 46 ].

Perceived need support. Environments perceived as more need-supportive were positively associated with increased levels of self-reported physical activity in 3 (of 6) independent samples tested with multivariate analysis (50%). This increased to 73% ( K =  8) in correlational analysis. The remaining studies/samples showed no association. In the majority (67%) of independent samples perceived need support was assessed using the Health Care Climate Questionnaire [ 66 ].

SDT-based Interventions. To date, only a few interventions have been designed to promote exercise-related behaviors by specifically increasing personal autonomy in the form of exercise autonomous self-regulation in adults [e.g., [ 17 , 40 , 68 , 39 , 67 , 69 ]. Some of these trials are still ongoing and all have been conducted in Western cultures. Of 7 interventions (with available data), 6 (86%) found significant differences favoring the SDT-based intervention group for perceived autonomy support, need satisfaction, and autonomous and introjected regulations for exercise, as well as greater self-reported exercise. In addition, one of these interventions found gender differences, reporting significant increases in perceived autonomy support and self-reported exercise only for women [ 40 ]. In contrast, there was one study in a clinical setting that did not find significant differences in perceived autonomy support and exercise behavior between autonomy support group and controls [ 68 ]. The authors argued that their additional individual SDT-based 4-week intervention, added to standard cardiac rehabilitation, might have been too limited (i.e., an insufficient number of sessions) to achieve significant between-group differences.

Edmunds and colleagues tested a SDT-based intervention in an exercise setting, examining the effect of an autonomy-supportive teaching style on female exercisers’ psychological needs, motivational regulations, and exercise behaviors during a 10-wk exercise program [ 39 ]. They found that the intervention increased autonomous self-regulation, need satisfaction, and attendance [ 39 ]. Although not a randomized controlled trial, results were similar to those obtained in several RCTs. For instance, Fortier et al. [ 17 ] tested an autonomy-promoting counseling protocol for promoting physical activity in sedentary primary care patients in a 13-week RCT. Results showed that the intervention was successful in changing autonomous self-regulation to reach activity goals (vs. a brief counseling protocol) and that higher autonomous regulation for exercise mid-intervention predicted higher levels of physical activity at the end of the intervention in the intervention group. The longest RCT to date to evaluate autonomy support, need satisfaction, motivation, and exercise behaviors was implemented in 239 overweight women, through 30 weekly group sessions for about 1 year, with a 2-year follow-up [ 67 ]. A few features of this study clearly distinguish it from the remaining intervention studies reviewed (see Table ​ Table2, 2 , table VI): larger sample, considerably longer intervention and follow-up assessments up to 3 years, and the use of mediation analysis to predict long-term changes in physical activity. Results showed that the intervention was perceived as need-supportive, it increased perceptions of competence and autonomy for exercise, increased autonomous regulations (and to a lesser degree introjected regulation, but not external regulation), and increased exercise behavior [ 18 ]. Exercise level was clearly associated with level of autonomous motivation for all subjects, both concurrently and prospectively, as depicted in Figure ​ Figure2. 2 . Only autonomous regulations were found to mediate the intervention effect on exercise in the long-term [ 33 , 32 ].

The aim of this review was to examine the empirical literature on the relations between SDT-based constructs and exercise and physical activity. The review demonstrates the recent growth in the application of this theory to the study of exercise and physical activity motivation, with 53 of the 66 papers identified being published in the last five years. The theory has been applied to a wide range of physical activity contexts including recreational exercise, weight loss programs and clinical populations, and across a range of ages. The majority of studies employed cross-sectional designs but comparable results are found across cross-sectional, prospective, and experimental designs.

Behavioral regulation and exercise

The vast majority of studies included an examination of the relations between behavioral regulation and exercise behavior. Of these, most included some or all of the individual regulations specified within SDT whereas others have collapsed autonomous and controlled forms of regulation into summary scales or adopted the RAI. The results show consistent support for a positive relation between more autonomous forms of motivation and exercise behavior, whether single regulation, summary measures, or the RAI are used. Intervention studies are also clearly supportive as are studies examining the endorsement of different forms of behavioral regulation across the stages of change, consistently showing that more self-determined regulations distinguish between individuals in the later stages from those in the early stages.

When considering the more autonomous forms of behavioral regulation separately, positive associations for identified regulation are found slightly more consistently in comparison to intrinsic motivation in multivariate analyses, whereas intrinsic motivation is somewhat more consistently predictive of exercise behavior in bivariate analyses. A similar trend was found for integrated regulation versus intrinsic motivation, but based on much fewer studies. This could be interpreted as suggesting that, independent of other regulatory motives, identified regulation (or integrated regulation) is the single best correlate of exercise. This notwithstanding, the SDT continuum of motivation [ 10 ] suggests that regulations that are more closely located in the continuum of autonomy specified by SDT (such as identified and integrated regulation, and intrinsic motivation) are expected to share some degree of variance, highlighting the theoretical expectation that regulatory factors are often simultaneously operative. This renders the question of which sub-type of autonomous motivation is more important in explaining and promoting exercise behaviors difficult to solve. Nonetheless, a number of authors have discussed this issue, attempting to explain results “favoring” either identified or intrinsic motivation. For example, Mullan et al. [ 57 ] argued that intrinsic motivation alone is unlikely to sustain long-term regular engagement in exercise, given all the organization and commitment it entails. Edmunds et al. [ 44 ] suggested that because sustaining a physically active lifestyle presumably requires a high degree of effort, often for mundane or repetitive activities, regulation by identification with the outcomes may be more important than exercising for fun and enjoyment, or to challenge oneself. Finally, Koestner and Losier (2002) proposed that in behavioral domains that require engagement in a range of different activities that vary in their intrinsic appeal, internalization of the value of the outcomes of the activities is likely to lead to greater persistence than being intrinsically motivated [ 70 ]. Clearly exercise is one such behavioral domain.

Because health promotion campaigns typically market exercise more in terms of health-related outcomes than in terms of its intrinsic value, the primary source of self-determined motivation among active individuals might derive from a valuing of these outcomes, even if they also find exercise intrinsically enjoyable [ 55 ]. Conversely, in contexts where enjoyment in and genuine interest for exercise is emphasized over the outcomes, one might expect intrinsic motivation to be more salient to individuals. In support of this, in Silva et al.’s intervention that explicitly emphasized enjoyment, mastery and challenge rather than the outcomes of exercise, intrinsic motivation was a more consistent predictor than identified regulation of moderate and vigorous exercise [ 33 ]. Clearer definitions of the nature of the exercise behaviors under investigation (type, intensity, volume, duration, time in the same activity), which may vary within and among studies, and their potential appeal to the individual may shed additional light onto this issue. Some types of physical activity may be inherently intrinsically motivating for many individuals, especially when they involve self-chosen optimal challenges that can help people enjoy the sense of autonomy and mastery, factors that underpin intrinsic motivation.

As Daley and Duda [ 55 ] point out, most of the research showing a stronger effect for identified regulation has been cross-sectional and a few studies, including experimental studies lasting for several years, have shown intrinsic motivation to be critical for longer-term engagement [ 44 , 32 ]. Furthermore, a major limitation in interpreting findings concerning a benefit for either identified regulation or intrinsic motivation is that where associations for both have been found, authors have not conducted statistical tests to determine the unique effects of each type of regulation, nor whether the larger effect is in fact statistically significant. Given also the lack of longitudinal or experimental studies to determine whether differential benefits for the two types of regulation might emerge over time, it would be advisable for the time being to recommend fostering both identification and intrinsic motivation in order to promote optimal behavioral outcomes. Both of these autonomous forms of motivation share common antecedents in terms of support for autonomy and competence. Identification could be specifically promoted by emphasizing the personal instrumental value of exercising with regard to health, optimal functioning, and quality of life. At the same time, intrinsic motivation could be promoted by emphasizing fun, skill improvement, personal accomplishment, and excitement while exercising. Furthermore, the focus should be not only on the amount of exercise performed, or long-term adherence per se , but also on the enhanced well-being and vitality associated with exercise. Indeed, intrinsic motivation has been shown to be not only related to persistence at a task but also with psychological health and improved well-being [ 15 ].

The results for more controlled forms of regulation are mixed. No studies have found a positive association for controlled motivation at the summary level of analysis, nor for external regulation at the individual regulation level. However, while a substantial number of studies found a negative association, the majority found no association. There is a trend for external regulation to be negatively associated with exercise in the later stages of change among males, but no association among females, suggesting that more active males might respond more negatively to social pressures to exercise.

Concerning introjected regulation specifically, results are split between positive and null relations with exercise, with a clear predominance of the latter in multivariate analyses. This internally controlling form of regulation is generally theorized to be associated with more maladaptive outcomes such as negative affect, feelings of guilt, and lowered self-esteem [ 12 ]. People who feel internally pressured to exercise are likely to experience some degree of guilt or shame if they do not exercise, and the potential to enjoy it and experience the positive well-being consequences of this behavior will be decreased. Furthermore, research examining the motivating forces behind exercise dependence, which is considered to be maladaptive, has found introjected regulation to be the strongest predictor of this type of dependence [ 51 ]. Nonetheless, the periodic finding of a positive relation between introjection and adaptive behavioral outcomes in both exercise and other behavioral domains has been attributed to the partial internalization of external pressures from, for example, health promotion messages [ 52 ] or parental expectations [ 71 ].

When energized primarily by introjected motives, exercise participation may occur at some cost to psychological health, a factor most exercise adherence studies have not quantified. By contrast, recent evidence in overweight women showed that a summary measure of controlled exercise regulation (including introjected and external regulation items) was unrelated to psychological well-being, although controlled motivation to participate in obesity treatment predicted lower quality of life and self-esteem, and higher state anxiety [ 72 ]. A more refined analysis of introjected forms of motivation, breaking it into an approach-orientated motivation (to seek positive feelings such as self-aggrandizement and pride) and an avoidance-oriented motivation (to avoid negative feelings such as shame, guilt, and anxiety) could help clarify the role of introjected regulation on psychological and possibly also on behavioral outcomes [ 20 ]. Introjected avoidance regulation has been shown to yield more negative psychological correlates, including less engagement in school or poorer sports performance than introjected approach regulation [ 73 ]. The former was also more strongly associated with identified regulation than the latter. To our knowledge, studies have not yet addressed the differential association of these subtypes of introjected regulation with exercise behavior adoption or persistence.

The studies reviewed here also show a trend for an increase in introjection over time in the longitudinal or experimental studies, or across stages of change. However, observed (or assumed) increases in introjection with time do not necessarily mean that this variable explains or mediates increases in exercise. For instance, introjection has been found to be significantly associated with exercise when both were measured at the same time point, but not prospectively [ 32 ], suggesting that regulation by introjection may not lead to sustained exercise behavior. Furthermore, and despite observed increases in introjected regulation as a result of an SDT-based intervention [ 18 ], only autonomous motivation was predictive of long-term moderate and vigorous exercise in mediation analysis [ 32 ]. Unfortunately, there is only one study [ 32 ] reporting such long-term prospective associations between experimentally-induced changes in motivation and exercise behavior.

Our analysis of the relation between introjection and exercise for those studies reporting associations separately for males and females provides some evidence for a gender effect. Where such effects occur, introjection appears to be more positively associated with exercise among women, whereas among men there is a negative association or no association, especially in the maintenance stage of change. Some studies also report no differences. Given the pervasive societal and media pressures on women to have a slim and toned physique [ 74 ], this is perhaps not surprising. In the majority of studies, gender differences are not reported, making it difficult to draw firm conclusions but the trends we observe here for both introjection and external regulation suggest that future research would do well to consider possible gender differences rather than assuming no such differences and collapsing data across gender.

Finally, with regard to behavioral regulations and exercise, unsurprisingly no studies found a positive association between amotivation and exercise. The remaining studies showed either a predominance of null findings (nearly 70% in multivariate analyses) or negative associations (64% in bivariate analyses). Closer examination of these studies shows a trend for a sample effect. In all five studies showing no association the samples comprised either non-exercisers or a mixture of non-exercisers and exercisers, while the majority of studies showing negative associations comprised regular exercisers. Furthermore, it is noteworthy that fewer studies have assessed amotivation in comparison to those assessing the other regulations. This is understandable given that amotivation refers to the absence of both intrinsic and extrinsic motivation and represents a complete lack of self-determination and volition with respect to the target behavior [ 12 ]. Therefore one would expect to rarely see highly amotivated individuals in exercise settings. Additionally, different authors have put forth the hypothesis that individuals could also be autonomously motivated to not participate in exercise upon consideration, perhaps even when they can perceive some value in the behavior [ 7 , 20 ]. In some respect, they would be “autonomously amotivated” towards exercising. To the extent this would occur, it might also confound the association between amotivation and exercise, since these individuals might not score high on typical amotivation items such as “I don’t see the point in exercising” and “I think that exercising is a waste of time”, despite behind sedentary. It should also be noted that, empirically, it is difficult to distinguish amotivation from a lack of controlled or autonomous regulation [ 46 ]. Hence, including amotivation along with controlled and autonomous regulation in the same model might introduce a confound and could help explain the absence of associations in multivariate analyses.

Need satisfaction and exercise

Rather less attention has been paid to examining the associations between satisfaction of psychological needs and exercise than for behavioral regulations. The use of different instruments to assess basic need satisfaction (both domain-general and domain-specific measures), differences in the number of needs assessed, and their combined or separate analyses do not facilitate easy comparison of results across studies. Generally, competence satisfaction has been the most frequently assessed need and the literature shows consistent support for a positive association with exercise. In this review, twice as many studies reported bivariate associations between need satisfaction and exercise, compared to multivariate analyses. In bivariate analyses, no studies report a negative association between autonomy and exercise and the remaining results are split equally between positive and null associations whereas multivariate results are more mixed. Results for relatedness satisfaction are also mixed in bivariate analyses, although again no studies found a negative association with exercise. The exercise context might explain a lack of association for relatedness satisfaction. In some contexts, engaging in solitary exercise being the most obvious, the need for relatedness might simply not be an issue. Inconsistency in the measures used to assess the needs, and therefore their operational definitions, and a lack of applicability of particular scales to different exercise contexts might be concealing positive associations for autonomy.

In interpreting the results for need satisfaction and exercise, it is important to note that only direct effects of need satisfaction on exercise (whether from bivariate or multivariate association or direct paths in structural models) were considered in the present review, a fact that does not consider their indirect effects. In fact, theorizing within SDT stresses that the internalization of behavioral regulations is fostered by the satisfaction of basic psychological needs, and thus autonomous regulations would mediate associations between need satisfaction and behavioral outcomes. In current interpretations of mediation analysis, a significant association between an independent and a dependent variable is not a necessary condition for the possible occurrence of significant indirect (i.e., mediated) effects between them [ 75 ]. This highlights the importance of conducting more sophisticated analyses, such as path analysis or structural equation modeling, to clarify the mediating role of need satisfaction in the development of self-determined motivation. Indeed, going beyond the simple direct associations between behavioral regulations or need satisfaction and exercise (which are the main focus of this review), it is important to note that several studies have tested one or more parts of SDT’s proposed motivational sequence(s) for physical activity behaviors (see Figure ​ Figure1). 1 ). Relations from perceived autonomy support to exercise behavior, via psychological needs and regulatory styles have been tested (in part or all) in several studies and in general these confirm the proposed sequences [ 17 , 44 , 43 , 77 , 76 , 38 , 33 ]. In one case this was tested with a longitudinal randomized controlled trial using structural equation modeling [ 33 , 32 ], which empirically supported the motivational sequence proposed by SDT (i.e., need-supportive health care climate - > need satisfaction - > autonomous exercise regulation - > exercise behaviors).

Participation motives and exercise

Following some early work in the 1990s, there has been a resurgence of research in recent years on the role of exercise participation motives or goal contents. The rationale for this is that some motives (e.g., affiliation, skill development) are more intrinsically-oriented and likely to be experienced as autonomous whereas others (e.g., body-related motives such as weight or appearance management) are more extrinsic and likely to be experienced as internally controlling. Studies show a consistent positive association between more intrinsic motives and exercise. Findings for fitness/health and body-related motives are mixed. For fitness/health, although no studies found a negative association, an absence of association is more frequently found than positive associations. This might reflect different ways in which fitness/health motives have been operationalized. Health/fitness motives can reflect health pressures or threats (e.g., medical advice) or be associated with drives for thinness or an attractive image. Yet health and fitness motives can also reflect more positive concerns such as general health promotion, increasing physical strength for performing daily activities, reducing pain (e.g. lower back pain or discomfort in joints), or feeling more energy and vitality. Thus, conceptually, being concerned about health or fitness per se cannot be easily defined as either intrinsic or extrinsic, as it depends on what the motive means to the individual [ 78 ].

Similarly, results for body-related motives results are also mixed, despite a preponderance of both positive and null findings, relative to negative associations. For a more in-depth understanding of the relation between participation motives and exercise, the characteristics of exercise participation (e.g. type, intensity, total volume) and type of sample need to be taken into account. For example, Frederick and Ryan (1993) compared individuals whose primary physical activity was a sport with individuals whose primary physical activity was a non-sport fitness activity [ 59 ]. The sport participants had higher interest/enjoyment and competence motives whereas the fitness participants had higher body-related motives. Furthermore, the apparent positive (at least in the short term) role of these motives on exercise may then be mediated by the development of introjected regulation. Ingledew et al. [ 79 , 46 ] found that body related motives were associated with introjections and a recent study [ 41 ] found that introjected regulation predicted exercise intensity among females.

It is important to note, as Markland and Ingledew pointed out [ 46 ], that holding controlled motivations is not necessarily problematic, motivationally speaking, as long as self-determined regulations are also held. It has been suggested [ 20 ], for example, that a person may strive for a physically appealing body (an “extrinsic” motive) because her partner praises her good looks (controlled motivation) and at the same time she may personally value a fit appearance (autonomous motivation). Thus, although intrinsic goals tend to be pursued for autonomous reasons and extrinsic goals tend to be pursued for controlled reasons [ 81 ], the content of, and reasons for pursuing aspirations can be empirically crossed. Therefore, exercise promotion programs should take care not to explicitly or implicitly denigrate appearance/weight motive or any other motive for exercising, which may lead individuals to perceive that their autonomy is threatened, with consequent defiance and dropout [ 46 ]. Instead, acknowledging the validity of individuals’ motives in a need-supportive context may ultimately promote movement away from controlled regulations toward more autonomous commitments to be active.

Experimental studies

It is encouraging to see that in more recent years researchers have turned their attention to experimental studies evaluating interventions based on SDT principles. However, all but one were shorter than 3 months in duration and involved a small amount of contact time with the participants, in some cases amounting to approximately 2–3 in-person sessions. The remaining contacts were performed via telephone [e.g., [ 17 , 68 , 69 ], and one of these interventions relied solely on email booster messages to promote self-determined motivation and behavior change [ 40 ]. By contrast, one intervention provided substantially more contact time, (thirty 2-hour group sessions for about 1 year [ 18 , 67 ]). Not surprisingly, intensity, depth, and strategies used to promote personal autonomy and the development of intrinsic motivation for exercise also varied among these interventions. Some interventions were limited to strategies such as encouraging participants to make their own choices, providing information, setting realistic goals, and/or encouraging participants to seek and find forms of social support [e.g., [ 17 , 40 ]. Others included a more comprehensive set of strategies, more fully embracing SDT propositions [ 18 , 39 , 67 ] including providing a clear rationale for behavior change, acknowledging ambivalence and internal conflict, providing a menu of options, minimizing controlling influences (e.g., use of pressure, demands, and extrinsic rewards), and promoting competence through optimal challenge and giving informative feedback [ 18 , 33 , 32 ]. In sum, existing interventions are limited in number and highly varied. Longer and more comprehensive longitudinal interventions are needed, especially those which work toward the development of autonomous motivation, allow more time for changes in motivational and behavioral processes to take place, and assess whether those changes (and associations) persist in the long-term.

Conclusions

Overall, this review provides good evidence for the value of SDT in understanding and promoting exercise behavior. The clearest finding of this review concerns the beneficial role of developing autonomous self-regulation, be it predominantly via autonomous forms of extrinsic regulation (i.e., identified and integrated regulation) or enhanced intrinsic motivation. The present literature is consistent in showing that all forms of autonomous regulation predict exercise participation across a range of samples and settings. There is also increasing evidence that a motivational profile marked by high autonomous motivation is important to sustain exercise behaviors over time, although the pool of studies supporting this inference is limited. Longer-term studies and follow-ups will be especially important in evaluating the relative efficacy of identified versus intrinsic regulations in exercise maintenance. For the moment, evidence is consistent with the hypothesis that reporting well-internalized extrinsic regulations, such as personally valuing certain outcomes of exercise, is a particularly important factor for initial adoption (when cognitive factors such as rationally weighing pros and cons may be decisive but experiential knowledge of exercise may be limited). Conversely, there is some indication that a predominance of intrinsic motivation (i.e., valuing the actual experience of exercise) is especially important for longer-term exercise participation. It is also important to highlight the strong co-variance between identified/integrated regulations and intrinsic motivation, especially since these different forms of autonomous motivation share some common antecedents that would be applied in intervention settings.

We suspect future studies may come to identify significant moderating factors for the role of specific regulations on exercise adherence, such as age, gender, previous health conditions, or social norms and social desirability. For instance, current public campaigns against obesity may have enhanced the perceived utility of exercise for weight control and health (as a preventive or treatment “medicine”), inadvertently minimizing experiential rewards of exercise such as social interaction, expression of personal skills and abilities, self-development, or pure enjoyment. The experiential qualities of exercise were highlighted as a critical factor for adherence in a recent review of mediators of physical activity behavior change [ 82 ]. On this note, it is perhaps no coincidence that in the current public health dialogue about “exercise as medicine”, physical activities not typically associated with the term “exercise” such as playing sports, dancing, or outdoor exploration activities are rarely mentioned. From a public health/exercise promotion perspective, this could be a limiting factor if such activities, rich in their intrinsic appeal although less likely to be monitored and supervised, are not considered viable options in professionals’ exercise prescriptions or as targets of public policy promotions. Again, future research with long-term outcomes and also exploring predictors of different forms of exercise should help elucidate these issues.

Two additional conclusions can be derived from the present review. One is that having more intrinsic participation motives or goals associated with exercise, such as affiliation and social engagement, challenge, and skill development, is clearly associated with greater exercise participation. Since these motives are associated with intrinsic motivation [ 22 , 34 ], it may be especially important that health professionals are trained in distinguishing the “signs” of intrinsic (vs. extrinsic) motives in their patients and promoting them at every opportunity, aiming at long-term exercise maintenance. The other is that reporting increased perceived competence for exercise is also positively predictive of more adaptive exercise behavioral outcomes. Together, the previous findings have important implications for practice. It serves as evidence-based support for health professionals to strive not only to provide sufficient structure and optimal challenge to promote feelings of mastery and competence in their clients and patients, but also to encourage professionals to actively explore with the people they counsel reasons to be physically active that go beyond the most common motives such as improved body shape and attractiveness. Finally, as we discussed previously, the consequences of health and fitness-related motives, including weight loss, are perhaps more complex and likely moderated by other motivational aspects.

Limitations in the collective body of work are worthy of consideration as they bear on avenues for future research. A major limitation concerns the heterogeneity of the samples in the majority of studies. Heterogeneity within samples with regard to such factors as age, gender, weight or body composition, and fitness status may be contributing to variability across studies. While general motivational patterns are likely to remain constant (e.g., autonomous motivation being more likely to promote long-term exercise adherence), there may be much to learn by examining motivational profiles that are specific to different demographic groups or to individuals at different stages of change for exercise. For instance, a recent study [ 63 ] highlights the existence of different patterns of motivation between long-term exercisers versus beginners. Similarly, more enduring individual differences could be explored. Only one study has examined the relations between exercise causality orientations and exercise, and none have explored general causality orientations, despite the fact that such individual difference measures have been shown to predict adaptive outcomes in other health-related contexts [e.g., [ 108 ]. Finally, SDT has a history of strong experimental work on motivational factors but experimental work in the exercise domain itself could be expanded to better examine the causal mechanisms and process aspects of motivation for physical activity. Cross-sectional research is now abundant, and generally supportive, but it needs to be complemented with more applied intervention and translational studies that adequately model, implement, and evaluate key hypotheses about why and how individuals adopt and sustain more physically active lifestyles.

The methodology used in this review may also limit its conclusions. First, unpublished studies, evidence from grey literature, and data from non-English publications were not included. Although this is a frequent occurrence in scientific systematic review papers, it may provide an incomplete account of all studies in this area. Second, the way in which results from each study were classified and quantified (see Table ​ Table3) 3 ) is somewhat arbitrary and subject to criticism and various interpretations. Third, as stated before, the decision to only evaluate direct paths is also inherently limiting considering that the distal effects of some variables on behavior is thought to be mediated by other intermediate variables. Unfortunately, few studies are available to assess these more complete causal paths. Finally, our definition of “behavioral variable” to describe the outcome of choice, lumping together self-report and direct measures of behavior, and also attendance and stages of change is clearly not without reproach. Although we felt this was the best decision considering the relative paucity of studies for various measures, future studies might want to be more specific and/or selective in their outcomes of choice.

In sum, it is clear that the exercise domain has provided fertile ground for testing SDT’s precepts. While testing and developing theory is a worthwhile activity in its own right, the real significance of SDT will be realized if it can be employed to actually make a positive difference in peoples’ lives. In this regard, the growing evidence for the utility of SDT-based interventions for promoting the adoption and maintenance of exercise is a significant advance. Future studies would do well to include biological markers of successful exercise-related outcomes such as increased fitness and reductions in disease risk factors. Similarly, studies that include markers of psychological well-being and mental health, such as self-esteem, vitality, and symptoms of anxiety and depression symptomatology would also be useful, given that according to SDT only autonomously regulated behaviors can translate into enhanced psychological wellness. Extending SDT´s applicability beyond behavioral engagement in exercise to actual improvements in health and well-being would thus be another important step for SDT research to influence health care policy and delivery.

a Exercise outcomes covered in this review include what is normally termed “exercise” (purposeful and formalized leisure-time physical activity, often with the goal of improving fitness or health) but also, in a few cases, less structured forms of exercise (e.g., walking minutes), energy expenditure measures, and accelerometry data (which cannot distinguish between different forms of activity). Although the term “physical activity” would aptly cover the entire range of outcomes in this review, “exercise” is a more specific term to what the large majority of studies measured, with the use of instruments such as the Godin Leisure Time Exercise Questionnaires (LTEQ, used in 55 independent samples [77.5%]). For this reason, we will use the two terms indiscriminately in this review.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

PJT conceived this manuscript and led the writing team. EVC conducted the study search, summarized the quantitative review, and drafted the Results section. DM made substantial contributions to the Discussion section. DM, RMR, EVC, and MNS revised the entire manuscript and made important contributions in various sections. All authors read and approved the final version of the manuscript.

Acknowledgments

  • Physical activity guidelines advisory committee report. U.S. Department of Health and Human Services, Washington DC; 2008. [ Google Scholar ]
  • Sisson SB, Katzmarzik PT. International prevalence of physical activity in youth and adults. Obesity Reviews. 2008; 9 :606–614. doi: 10.1111/j.1467-789X.2008.00506.x. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Sport and Physical Activity. Special Eurobarometer, 334/Wave 72.3; 2010. Eurobarometer: Sport and Physical Activity. [ Google Scholar ]
  • Prevalence of Regular Physical Activity Among Adults—United States, 2001 and 2005. MMWR. 2007; 56 :1209–1212. [ PubMed ] [ Google Scholar ]
  • Colley RC, Garriguet D, Janssen I, Craig CL, Clarke J, Tremblay MS. Physical activity of Canadian Adults: Accelerometer data from the 2007 to 2009 Canadian Health Measures Survey. Statistics Canada, Health Reports 2011 22, Catalogue no. 2011; 22 :82–003. [ PubMed ] [ Google Scholar ]
  • Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee I, Nieman DC, Swain DP. Quantity and Quality of Exercise for Developing and Maintaining Cardiorespiratory, Musculoskeletal, and Neuromotor Fitness in Apparently Healthy Adults: Guidance for Prescribing Exercise. Medicine & Science in Sports & Exercise. 2011; 43 :1334–1359. [ PubMed ] [ Google Scholar ]
  • Ryan RM, Williams GC, Patrick H, Deci EL. Self-determination theory and physical activity: The dynamics of motivation in development and wellness. Hellenic Journal of Psychology. 2009; 6 :107–124. [ Google Scholar ]
  • Korkiakangas EE, Alahuhta MA, Laitinen JH. Barriers to regular exercise among adults at high risk or diagnosed with type 2 diabetes: a systematic review. Health Promot Int. 2009; 24 :416–427. doi: 10.1093/heapro/dap031. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Markland D. The mediating role of behavioural regulations in the relationship between perceived body size discrepancies and physical activity among adult women. Hellenic Journal of Psychology. 2009; 6 :169–182. [ Google Scholar ]
  • Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist. 2000; 55 :68–78. [ PubMed ] [ Google Scholar ]
  • Hall A. Tonic for Gyms? Recreation. 2008. pp. 24–26.
  • Deci EL, Ryan RM. The 'what' and 'why' of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry. 2000; 11 :227–268. doi: 10.1207/S15327965PLI1104_01. [ CrossRef ] [ Google Scholar ]
  • Deci EL. Intrinsic Motivation. Plenum, New York; 1975. [ Google Scholar ]
  • Deci E, Ryan R. Intrinsic motivation and self-determination in human behavior. Plenum, New York; 1985. pp. 113–148. [ Google Scholar ]
  • Ryan RM, Deci EL. Overview of self-determination theory: An organismic dialectical perspective. Edited by Deci EL, Ryan RM, Rochester, NY: Rochester University Press; 2002. pp. 3–33. [ Google Scholar ]
  • Wilson PM, Rogers WT, Rodgers WM, Wild TC. The psychological need satisfaction in exercise scale. Journal of Sport and Exercise Psychology. 2006; 28 :231–251. [ Google Scholar ]
  • Fortier MS, Sweet SN, O'Sullivan TL, Williams GC. A self-determination process model of physical activity adoption in the context of a randomized controlled trial. Psychology of Sport and Exercise. 2007; 8 :741–757. doi: 10.1016/j.psychsport.2006.10.006. [ CrossRef ] [ Google Scholar ]
  • Silva MN, Vieira PN, Coutinho SR, Minderico CS, Matos MG, Sardinha LB, Teixeira PJ. Using self-determination theory to promote physical activity and weight control: a randomized controlled trial in women. Journal of Behavioral Medicine. 2010; 33 :110–122. doi: 10.1007/s10865-009-9239-y. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Sebire S, Standage M, Vansteenkiste M. Examining goal content in the exercise domain: Intrinsic versus extrinsic goals and cognitive, affective, and behavioural outcomes, and psychological need satisfaction. Journal of Sport and Exercise Psychology. 2009; 31 :189–210. [ PubMed ] [ Google Scholar ]
  • Vansteenkiste M, Niemiec CP, Soenens B. In The Decade Ahead: Theoretical Perspectives on Motivation and Achievement (Advances in Motivation and Achievement, Volume 16) Edited by Urdan TC, Karabenick SA, Emerald Group Publishing Limited; 2010. The development of the five mini-theories of self-determination theory: an historical overview, emerging trends, and future directions; pp. 105–165. [ Google Scholar ]
  • Grouzet FM, Kasser T, Ahuvia A, Dols JM, Kim Y, Lau S, Ryan RM, Saunders S, Schmuck P, Sheldon KM. The structure of goals across 15 cultures. Journal of Personality and Social Psychology. 2005; 89 :800–816. [ PubMed ] [ Google Scholar ]
  • Kasser T, Ryan RM. Further examining the American Dream: Differential correlates of intrinsic and extrinsic goals. Personality and Social Psychology Bulletin. 1996; 22 :80–87. [ Google Scholar ]
  • Hagger MS, Chatzisarantis NL. Self-determination theory and the psychology of exercise. International Review of Sport and Exercise Psychology. 2008; 1 :79–103. doi: 10.1080/17509840701827437. [ CrossRef ] [ Google Scholar ]
  • Wilson P, Mack D, Grattan K. Understanding Motivation for Exercise: A Self-Determination Theory Perspective. Canadian Psychology. 2008; 49 :250–256. [ Google Scholar ]
  • Blair SN, Haskell WL, Ho P, Paffenbager RS. Vranizan KM, Farquhar JW, Wood PD: Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. American Journal of Epidemiology. 1985; 122 :794–804. [ PubMed ] [ Google Scholar ]
  • Godin G, Shepherd R. A simple method to assess exercise behavior in the community. Canadian Journal of Applied Sport Science. 1985; 10 :141–146. [ PubMed ] [ Google Scholar ]
  • Ryan RM, Frederick CM, Lepes D, Rubio N, Sheldon KM. Intrinsic motivation and exercise adherence. International Journal of Sport Psychology. 1997; 28 :335–354. [ Google Scholar ]
  • Wininger SR. Self-determination theory and exercise behavior: An examination of the psychometric properties of the exercise motivation scale. Journal of Applied Sport Psychology. 2007; 19 :471–486. doi: 10.1080/10413200701601466. [ CrossRef ] [ Google Scholar ]
  • Wilson PM, Blanchard CM, Nehl E, Baker F. Predicting physical activity and outcome expectations in cancer survivors: An application of self-determination theory. Psycho-Oncology. 2006; 15 :567–578. doi: 10.1002/pon.990. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Buckworth J, Lee RE, Regan G, Schneider LK, DiClemente CC. Decomposing intrinsic and extrinsic motivation for exercise: Application to stages of motivational readiness. Psychology of Sport and Exercise. 2007; 8 :441–461. doi: 10.1016/j.psychsport.2006.06.007. [ CrossRef ] [ Google Scholar ]
  • Rodgers WM, Hall CR, Duncan LR, Pearson E, Milne MI. Becoming a regular exerciser: Examining change in behavioural regulations among exercise initiates. Psychology of Sports and exercise. 2010; 11 :378–386. doi: 10.1016/j.psychsport.2010.04.007. [ CrossRef ] [ Google Scholar ]
  • Silva MN, Markland D, Carraça EV, Vieira PN, Coutinho SR, Minderico CS, Matos MG, Sardinha LB, Teixeira PJ. Exercise Autonomous Motivation Predicts 3-Year Weight Loss in Women. Medicine and Sciences in Sports and Exercise. 2011; 43 :728–737. [ PubMed ] [ Google Scholar ]
  • Silva MN, Markland DM, Vieira PN, Coutinho SR, Carraça EV, Palmeira AL, Minderico CS, Matos MG, Sardinha LB, Teixeira PJ. Helping Overweight Women Become More Active: Need Support and Motivational Regulations for Different Forms of Physical Activity. Psychology of Sports and exercise. 2010; 11 :591–601. doi: 10.1016/j.psychsport.2010.06.011. [ CrossRef ] [ Google Scholar ]
  • Hagger MS, Chatzisarantis NL, Harris J. From psychological need satisfaction to intentional behavior: Testing a motivational sequence in two behavioral contexts. Personality and Social Psychology Bulletin. 2006; 32 :131–148. doi: 10.1177/0146167205279905. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Hagger MS, Chatzisarantis NL, Harris J. The process by which relative autonomous motivation affects intentional behavior: Comparing effects across diet and exercise behaviors. Motivation and Emotion. 2006; 30 :307–321. [ Google Scholar ]
  • Fortier MS, Wiseman E, Sweet SN, O'Sullivan TL, Blanchard CM, Sigal RJ, Hogg W. A moderated mediation of motivation on physical activity in the context of the PAC randomized control trial. Psychology of Sport and exercise. 2011; 12 :71–78. doi: 10.1016/j.psychsport.2010.08.001. [ CrossRef ] [ Google Scholar ]
  • Markland D, Tobin V. A modification of the behavioural regulation in exercise questionnaire to include an assessment of amotivation. Journal of Sport and Exercise Psychology. 2004; 26 :191–196. [ Google Scholar ]
  • Edmunds J, Ntoumanis N, Duda J. Adherence and well-being in overweight and obese patients referred to an exercise on prescription scheme: A Self-Determination Theory perspective. Psychology of Sport and Exercise. 2007; 8 :722–740. doi: 10.1016/j.psychsport.2006.07.006. [ CrossRef ] [ Google Scholar ]
  • Edmunds J, Ntoumanis N, Duda J. Testing a self-determination theory-based teaching style intervention in the exercise domain. European Journal of Social Psychology. 2008; 38 :375–388. doi: 10.1002/ejsp.463. [ CrossRef ] [ Google Scholar ]
  • Levy SS, Cardinal BJ. Effects of a self-determination theory-based mail-mediated intervention on adults' exercise behavior. American Journal of Health Promotion. 2004; 18 :345–349. doi: 10.4278/0890-1171-18.5.345. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Duncan LR, Hall CR, Wilson PM OJ. Exercise motivation: A cross-sectional analysis examining its relationships with frequence, intensity, and duration of exercise. International Journal of Behavioral Nutrition and Physical Activity; 2010. p. 7. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Brickell T, Chatzisarantis N. Using self-determination theory to examine the motivational correlates and predictive utility of spontaneous exercise implementation intentions. Psychology of Sport and exercise. 2007; 8 :758–770. doi: 10.1016/j.psychsport.2006.11.001. [ CrossRef ] [ Google Scholar ]
  • Peddle CJ. R.C. P, T.C. W, J. A., K.S. C: Medical, demographic, and psychosocial correlates of exercise in colorectal cancer survivors: an application of self-determination theory. Supportive Care in Cancer. 2008; 16 :9–17. doi: 10.1007/s00520-007-0272-5. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Edmunds J, Ntoumanis N, Duda J. A Test of Self-Determination Theory in the Exercise Domain. Journal of Applied Social Psychology. 2006; 36 :2240–2265. doi: 10.1111/j.0021-9029.2006.00102.x. [ CrossRef ] [ Google Scholar ]
  • Wilson PM, Rodgers WM, Fraser SN, Murray TC. The relationship between exercise regulations and motivational consequences. Research Quarterly for Exercise and Sport. 2004; 75 :81–91. [ PubMed ] [ Google Scholar ]
  • Ingledew DK, Markland D. The role of motives in exercise participation. Psychology and Health. 2008; 23 :807–828. doi: 10.1080/08870440701405704. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Craike M. Application of self-determination theory to study determinants of regular participation in leisure-time physical activity. World Leisure Journal. 2008; 50 :58–70. doi: 10.1080/04419057.2008.9674527. [ CrossRef ] [ Google Scholar ]
  • Lewis M, Sutton A. Understanding exercise behaviour: Examining the intereaction of exercise motivation and personality in predicting exercise frequency. Journal of Sport Behavior. 2011; 34 :82–97. [ Google Scholar ]
  • Wilson PM, Rodgers WM, Fraser SN. Examining the Psychometric Properties of the Behavioral Regulation for Exercise Questionnaire. Measurement in Physical Education and Exercise Science. 2002; 6 :1–21. doi: 10.1207/S15327841MPEE0601_1. [ CrossRef ] [ Google Scholar ]
  • McDonough MH, Crocker PR. Testing self-determined motivation as a mediator of the relationship between psychological needs and affective and behavioral outcomes. Journal of Sport and exercise Psychology. 2007; 29 :645–663. [ PubMed ] [ Google Scholar ]
  • Edmunds J, Ntoumanis N, Duda JL. Examining exercise dependence symptomatology from a self-determination perspective. Journal of Health Psychology. 2006; 11 :887–903. doi: 10.1177/1359105306069091. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Thögersen-Ntoumani C, Ntoumanis N. The role of self-determined motivation in the understanding of exercise-related behaviours, cognitions and physical self-evaluations. Journal of Sports Sciences. 2006; 24 :393–404. doi: 10.1080/02640410500131670. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Kwan BM. Caldwell Hooper AE, Magnan RE, Bryan AD: A longitudinal diary study of the effects of causality orientations on exercise-related affect. Self and Identity. 2011; 10 :363–374. doi: 10.1080/15298868.2010.534238. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Sorensen M. Motivation for physical activity of psychiatric patients when physical activity was offered as part of treatment. Scandinavian Journal of Medicine Sciences in Sports. 2006; 16 :391–398. doi: 10.1111/j.1600-0838.2005.00514.x. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Daley AJ, Duda J. Self-determination, stage of readiness to change for exercise, and frequency of physical activity in young people. European Journal of Sport Sciences. 2006; 6 :231–243. doi: 10.1080/17461390601012637. [ CrossRef ] [ Google Scholar ]
  • Rose EA, Parfitt G, Williams S. Exercise causality orientations, behavioural regulation for exercise and stage of change for exercise: exploring their relationships. Psychology of Sport and Exercise. 2005; 6 :399–414. doi: 10.1016/j.psychsport.2004.07.002. [ CrossRef ] [ Google Scholar ]
  • Mullan E, Markland D. Variations in Self-Determination Across the Stages of Change for Exercise in Adults. Motivation and Emotion. 1997; 21 :349–362. doi: 10.1023/A:1024436423492. [ CrossRef ] [ Google Scholar ]
  • Wilson PM, Rodgers WM, Blanchard CM, Gessell J. The Relationship Between Psychological Needs, Self-Determined Motivation, Exercise Attitudes, and Physical Fitness. Journal of Applied Social Psychology. 2003; 33 :2373–2392. doi: 10.1111/j.1559-1816.2003.tb01890.x. [ CrossRef ] [ Google Scholar ]
  • Frederick CM, Ryan RM. Differences in motivation for sport and exercise and their relations with participation and mental health. Journal of Sport Behavior. 1993; 16 :124–146. [ Google Scholar ]
  • Markland D, Ingledew D. The measurement of Exercise Motives: factorial validity and Invariance across gender of a revised Exercise Motivation Inventory. Brit J Health Psych. 1997; 2 :361–376. doi: 10.1111/j.2044-8287.1997.tb00549.x. [ CrossRef ] [ Google Scholar ]
  • McAuley E, Duncan T, Tammen VV. Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis. Res Q Exerc Sport. 1989; 60 :48–58. [ PubMed ] [ Google Scholar ]
  • Lee RE, DiClemente CC. Extrinsic and intrinsic motivation: Which is important for exercise? Medicine and Science in Sports and Exercise. 2001; 33 :S112. [ Google Scholar ]
  • Sebire S, Standage M, Vansteenkiste M. Development and validation of the Goal Content for Exercise Questionnaire. Journal of Sport and Exercise Psychology. 2008; 30 :353–378. [ PubMed ] [ Google Scholar ]
  • Segar ML, Spruijt-Metz D, Nolen-Hoeksema S. Go figure? Body-shape motives are associated with decreased physical activity participation among midlife women. Sex Roles. 2006; 54 :175–187. doi: 10.1007/s11199-006-9336-5. [ CrossRef ] [ Google Scholar ]
  • Segar ML, Eccles JS, Richardson CR. Type of physical activity goal influences participation in healthy midlife women. Women's Health Issues. 2008; 18 :281–291. doi: 10.1016/j.whi.2008.02.003. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Wilson P, Mack D, Grattan K. Understanding Motivation for Exercise: A Self-Determination Theory Perspective. Canadian Psychology. 2008; 49 : . [ Google Scholar ]
  • Silva MN, Markland D, Minderico CS, Vieira PN, Castro MM, Coutinho SR, Santos TC, Matos MG, Sardinha LB, Teixeira PJ. A randomized controlled trial to evaluate self-determination theory for exercise adherence and weight control: rationale and intervention description. BMC Public Health. 2008; 8 :234–246. doi: 10.1186/1471-2458-8-234. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Mildestvedt T, Meland E, Eide GE. How important are individual counseling, expectancy beliefs and autonomy for the maintenance of exercise after cardiac rehabilitation? Scandinavian Journal of Public Health. 2008; 36 :832–840. doi: 10.1177/1403494808090633. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Jolly K, Duda J, Daley AJ, Eves FF, Mutrie N, Ntoumanis N, Rouse PC, Lodhia R, Williams GC. Evaluation of a standard provision versus an autonomy promotive exercise referral programme: Rationaly and study design. BMC Public Health. 2009; 9 :176. doi: 10.1186/1471-2458-9-176. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Koestner R, Losier GF, In Handbook of self-determination research. Distinguishing three ways of being internally motivated: a closer look at introjection, identification, and intrinsic motivation. Edited by Deci EL, Ryan RM, Rochester, NY: University of Rochester Press; 2002. pp. 101–121. [ Google Scholar ]
  • Vallerand RJ, Fortier MS, Guay F. Self-determination and persistence in a real-life setting: toward a motivational model of high school dropout. Journal of Personality and Social Psychology. 1997; 72 :1161–1176. [ PubMed ] [ Google Scholar ]
  • Vieira PN, Mata J, Silva MN, Coutinho SR, Santos TC, Minderico CS, Sardinha LB, Teixeira PJ. Predictors of psychological well-being during behavioral obesity treatment in womenJournal of Obesity.    ; Predictors of psychological well-being during behavioral obesity treatment in women Journal of Obesity : . (doi: 101155/2011/936153) 2011. [ PMC free article ] [ PubMed ] [ Google Scholar ]
  • Assor A, Vansteenkiste M, Kaplan A. Identified Versus Introjected Approach and Introjected Avoidance Motivations in School and in Sports: The Limited Benefits of Self-Worth Strivings. Journal of Educational Psychology. 2009; 101 :482–497. [ Google Scholar ]
  • Cusumano DL, Thompson JK. Body image and body shape ideals in magazines: exposure, awareness, and internalization. Sex Roles. 1997; 37 :701–721. doi: 10.1007/BF02936336. [ CrossRef ] [ Google Scholar ]
  • Shrout PE, Bolger N. Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods. 2002; 7 :422–445. [ PubMed ] [ Google Scholar ]
  • Halvary H, Ulstad SA, Bagoien TE, Skjesol K. Autonomy support and its links to physical activity and competitive performance: Mediations through motivation, competence, action orientation and harmonious passion, and the moderator role of autonomy support by perceived competence. Scandinavian Journal of Educational Research. 2009; 53 :533–555. doi: 10.1080/00313830903302059. [ CrossRef ] [ Google Scholar ]
  • Puente R, Anshel MH. Exercisers' perceptions of their fitness instructor's interacting style, perceived competence, and autonomy as a function of self-determined regulation to exercise, enjoyment, affect, and exercise frequency. Scandinavian Journal of Psychology. 2010; 51 :38–45. doi: 10.1111/j.1467-9450.2009.00723.x. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Markland D, Ingledew DK. Exercise Participation Motives: A Self-Determination Theory Perspective. Edited by Hagger MS, Chatzisarantis NL, United States of America: Human Kinetics; 2007. pp. 23–35. [ Google Scholar ]
  • Ingledew DK, Markland D, Ferguson E. Three levels of exercise motivation. Applied Psychology: Health and Well-Being. 2009; 1 :336–355. doi: 10.1111/j.1758-0854.2009.01015.x. [ CrossRef ] [ Google Scholar ]
  • Cash TF, Novy PL, Grant JR. Why do women exercise? Factor analysis and further validation of the Reasons for Exercise Inventory. Perceptual and Motor Skills. 1994; 78 :539–544. doi: 10.2466/pms.1994.78.2.539. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Sheldon KM, Ryan RM, Deci EL, Kasser T. The independent effects of goal contents and motives on well-being: It's both what you pursue and why you pursue it. Personality and Social Psychology Bulletin. 2004; 30 :475–486. doi: 10.1177/0146167203261883. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Rhodes RE, Pfaeffli LA. Review Mediators of physical activity behaviour change among adult non-clinical populations: a review update. International Journal of Behavioral Nutrition and Physical Activity. 2010; 7 :37–48. doi: 10.1186/1479-5868-7-37. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Williams GC, Grow VM, Freedman ZR, Ryan R, Deci E. Motivational predictors of weight loss and weight-loss maintenance. Journal Personal Social Psychology. 1996; 70 :115–126. [ PubMed ] [ Google Scholar ]
  • Ryan R, Connell J. Perceived locus of causality and internalization: Examining reasons for acting in two domains. Journal of Personality and social Psychology. 1989; 57 :749–761. [ PubMed ] [ Google Scholar ]
  • Wilson PM, Rodgers WM, Loitz CC, Scime G. "It's who I am…really!": The importance of integrated regulation in exercise contexts. Journal of Applied Biobehavioral Research. 2006; 11 :79–104. [ Google Scholar ]
  • Landry JB, Solmon M. African American women's self-determination across the stages of change for exercise. Journal of Sport and Exercise Psychology. 2004; 26 :457–469. [ Google Scholar ]
  • Milne HM. K.E. W, A. G., S. G, K.S. C: Self-determination theory and physical activity among breast cancer survivors. Journal of Sport and Exercise Psychology. 2008; 30 :23–38. [ PubMed ] [ Google Scholar ]
  • Markland D, Tobin VJ. Need support and behavioural regulations for exercise among exercise referral scheme clients: The mediating role of psychological need satisfaction. Psychology of Sport and Exercise. 2010; 11 :91–99. doi: 10.1016/j.psychsport.2009.07.001. [ CrossRef ] [ Google Scholar ]
  • Moreno JA, Cervelló EM, Martínez A. Measuring self-determination motivation in a physical fitness setting: validation of the Behavioral Regulation in Exercise Questionnaire-2 (BREQ-2) in a Spanish sample. The Journal of Sport Medicine and Physical Fitness. 2007; 47 :366–378. [ PubMed ] [ Google Scholar ]
  • Hall CR, Rodgers WM, Wilson PM, Norman P. Imagery use and self-determined motivations in a community sample of exercisers and non-exercisers. Journal of Applied Social Psychology. 2010; 40 :135–152. doi: 10.1111/j.1559-1816.2009.00566.x. [ CrossRef ] [ Google Scholar ]
  • Standage M, Sebire S, Loney T. Does exercise motivation predict engagement in objectively assessed bouts of moderate-intensity exercise?: A self-determination theory perspective. Journal of Sport and exercise Psychology. 2008; 30 :337–352. [ PubMed ] [ Google Scholar ]
  • Hurkmans EJ, Maes S, de Gucht V, Knittle K, Peeters AJ, Ronday HK. Vliet Vlieland T: Motivation as a determinant of physical activity in patients with rheumatoid arthritis. Arthritis Care & Research. 2010; 62 :371–377. doi: 10.1002/acr.20106. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Lutz RS, Karoly P, Okun MA. The why and the how of goal pursuit: Self-determination goal process cognition, and participation in physical exercise. Psychology of Sport and Exercise. 2008; 9 :559–575. doi: 10.1016/j.psychsport.2007.07.006. [ CrossRef ] [ Google Scholar ]
  • Tsorbatzoudis H, Alexandris K, Zahariadis P, Grouios G. Examining the relationship between recreational sport participation and intrinsic and extrinsic motivation and amotivation. Perceptual and Motor Skills. 2006; 103 :363–374. [ PubMed ] [ Google Scholar ]
  • Chatzisarantis NL, Biddle SJ. Functional significance of psychological variables that are included in the Theory of Planned Behaviour: A Self-Determination Theory approach to the study of attitudes, subjective norms, perceptions of control, and intentions. European Journal of Social Psychology. 1998; 28 :303–322. doi: 10.1002/(SICI)1099-0992(199805/06)28:3<303::AID-EJSP853>3.0.CO;2-6. [ CrossRef ] [ Google Scholar ]
  • Matsumoto H, Takenaka K. Motivational profiles and stages of exercise behavior change. International Journal of Sport and Health Science. 2004; 2 :89–96. [ Google Scholar ]
  • McNeill LH, Wyrwick KW, Brownson RC, Clarck EM, Kreuter MW. Individual, social environmental, and physical environmental influences in physical activity among black and white adults: A structural equation analysis. Annals of Behavioral Medicine. 2006; 31 :36–44. doi: 10.1207/s15324796abm3101_7. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Russell KL, Bray SR. Self-determined motivation predicts independent, home-based exercise following cardiac rehabilitation. Rehabilitation Psychology. 2009; 54 :150–156. [ PubMed ] [ Google Scholar ]
  • Russell KL, Bray SR. Promoting self-determined motivation for exercise in cardiac rehabilitation: the role of autonomy support. Rehabilitation Psychology. 2010; 55 :74–80. [ PubMed ] [ Google Scholar ]
  • Fortier MS, Kowal J, Lemyre L, Orpana HM. Intentions and actual physical activity behavior change in a community-based sample of middle-aged women:Contributions from the theory of planned behavior and self-determination theory. International Journal of Sport and Exercise Psychology. 2009; 9 :46–67. [ Google Scholar ]
  • Barbeau A, Sweet SN, Fortier MS. A path-analytic model of self-determination theory in a physical activity context. Journal of Applied Biobehavioral Research. 2009; 14 :103–118. [ Google Scholar ]
  • Sweet SN, Fortier MS, Guérin E, Tulloch H, Sigal RJ, Kenny GP, Reid RD. Understanding physical activity in adults with type 2 diabetes after completing an exercise intervention trial: A mediation model of self-efficacy and autonomous motivation. Psychol Health Med. 2009; 14 :419–429. doi: 10.1080/13548500903111806. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Vlachopoulos SP, Michailidou S. Development and initial validation of a measure of autonomy, competence, and relatedness in exercise: The basic psychological needs in exercise scale. Measurement in Physical Education and Exercise Science. 2006; 10 :179–201. doi: 10.1207/s15327841mpee1003_4. [ CrossRef ] [ Google Scholar ]
  • Frederick CM, Morrison C, Manning T. Motivation to participate, exercise affect, and outcome behaviors toward physical activity. Perceptual and Motor Skills. 1996; 82 :691–701. doi: 10.2466/pms.1996.82.2.691. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Sit CH, Kerr JH, Wong IT. Motives for and barriers to physical activity participation in middle-aged Chinese women. Psychology of Sport and exercise. 2008; 9 :266–283. doi: 10.1016/j.psychsport.2007.04.006. [ CrossRef ] [ Google Scholar ]
  • Davey J, Fitzpatrick M, Garland R, Kilgour M. Adult participation motives: Empirical evidence from a workplace exercise program. European Sport Management Quarterly. 2009; 9 :141–162. doi: 10.1080/16184740802571427. [ CrossRef ] [ Google Scholar ]
  • Ingledew DK, Markland D, Medley AR. Exercise Motives and Stages of Change. Journal of Health Psychology. 1998; 3 :477–489. doi: 10.1177/135910539800300403. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Levy AR, Polman RC, Borkoles E. Examining the relationship between perceived autonomy support and age in the context of rehabilitation adherence in sport. Rehabilitation Psychology. 2008; 53 :224–230. [ Google Scholar ]

Home / Essay Samples / Sports / Gym / Tips on How to Start Going to the Gym

Tips on How to Start Going to the Gym

  • Category: Sports , Life , Psychology
  • Topic: Gym , Healthy Lifestyle , Motivation

Pages: 1 (597 words)

  • Downloads: -->

Get Appropriate Clothing

Allocate the time, follow an effective routine, set realistic goals, get company, avoid distractions.

--> ⚠️ Remember: This essay was written and uploaded by an--> click here.

Found a great essay sample but want a unique one?

are ready to help you with your essay

You won’t be charged yet!

Problem Solving Essays

Procrastination Essays

Self Concept Essays

Development Essays

Archetype Essays

Related Essays

We are glad that you like it, but you cannot copy from our website. Just insert your email and this sample will be sent to you.

By clicking “Send”, you agree to our Terms of service  and  Privacy statement . We will occasionally send you account related emails.

Your essay sample has been sent.

In fact, there is a way to get an original essay! Turn to our writers and order a plagiarism-free paper.

samplius.com uses cookies to offer you the best service possible.By continuing we’ll assume you board with our cookie policy .--> -->