•Nonmedicated
•Unreported
BP: blood pressure; sBP: systolic blood pressure; ES: effect size; RT: resistance training; AT: aerobic training; Mode: both AT and RT are included;
Pearson’s correlation of mean sBP and dBP, corrected ES, and moderator variables according to the coding scheme
Characteristics of the moderator variable | Coding scheme | BP | r = | p ≤ |
---|---|---|---|---|
Participants | •Age | sBP | 0.21 | 0.001 |
dBP | 0.12 | 0.03 | ||
•Weight | sBP | 0.007 | 0.24 | |
dBP | -0.06 | 0.37 | ||
•Body mass index | sBP | 0.26 | 0.001 | |
dBP | 0.09 | 0.14 | ||
•VO2max | sBP | -0.03 | 0.70 | |
dBP | -0.04 | 0.61 | ||
Measurement | •Measurement duration | sBP | 0.08 | 0.15 |
dBP | -0.07 | 0.21 | ||
Exercise | •Exercise intensity estimated from the VO max | sBP | -0.16 | 0.11 |
dBP | 0.04 | 0.72 | ||
•Exercise intensity estimated from the HRR | sBP | 0.11 | 0.56 | |
dBP | -0.10 | 0.57 | ||
•Exercise intensity estimated from the HRmax | sBP | -0.19 | 0.58 | |
dBP | -0.47 | 0.14 | ||
•Exercise intensity estimated from the anaerobic threshold | sBP | 0.33 | 0.17 | |
dBP | 0.35 | 0.15 | ||
•Exercise intensity estimated from 1RM | sBP | -0.05 | 0.51 | |
dBP | -0.04 | 0.58 | ||
•Duration of the exercise session | sBP | -0.19 | 0.01 | |
dBP | -0.08 | 0.32 | ||
•Number of RT exercises | sBP | 0.30 | 0.001 | |
dBP | -0.20 | 0.006 | ||
•Number of sets | sBP | -0.47 | 0.001 | |
dBP | -0.02 | 0.75 | ||
•Number of repetitions | sBP | 0.14 | 0.05 | |
dBP | 0.07 | 0.37 |
VO 2 max: maximal oxygen consumption; HRR: heart rate reserve; HRmax: maximal heart rate; 1RM: one repetition maximum; RT: resistance training; BP: blood pressure; sBP: systolic blood pressure; dBP: diastolic blood pressure.
Corrected systolic blood pressure effect size by categorical variables. Normotens.: normotensive; Prehypertens.: prehypertensive; Hypertens.: hypertensive; BP: blood pressure; sBP: systolic blood pressure; z: ES ≠ 0, p < 0.05; *: different from others, p < 0.05; a and b: different between each other, p < 0.05; Conv.: Conventional resistance training; Circ.: Circuit resistance training; Run: running; Jog: jogging; Walk: walking; Cycl.: bicycling; Conc.: Concurrent training.
Correlation between corrected systolic blood pressure (sBP), effect sizes, and continuous variables. Note: sBP: systolic blood pressure; BMI: body mass index.
Diastolic Blood Pressure. Table 4 shows the corrected mean dBP ES at different levels of the moderator variables. Results regarding the characteristics of the subjects showed a significant decrease in dBP regardless of the initial BP level, gender, antihypertensive drug intake, and physical activity level. However, post-hoc analyses detected a significantly larger ES in non-medicated samples ( F = 4.26, p < 0.02). This finding is consistent with the sBP response depicted in Figure 2c . Results regarding the exercise characteristics showed that the dBP decreased significantly regardless of the exercise modality. Most of the results were consistent for aerobic exercises such as jogging, cycling, and a combination of these, as well as for conventional or circuit resistance training exercise. However, as depicted in Table 4 , the largest reductions in dBP occurred when jogging was the exercise mode ( F = 4.09, p < 0.001). Interestingly, dBP ES were not different from zero when the participants walked. Significant correlations were found for dBP ( Table 4 ). Also, the higher the age of the participants, the lower the reduction in dBP ( r = 0.12, p = 0.03), and the greater the number of resistance exercises performed, the higher the decrease in dBP ( r = -0.20, p = 0.006).
Mean corrected dBP ES, Z score, F ratio, significance level, and post-exercise score change by moderator variable in the experimental group
Characteristics of the moderator variable | Coding scheme | Mean corrected ES ± SD | p | Δ (mmHg) | |||
---|---|---|---|---|---|---|---|
Sample | 1.8 | 0.17 | |||||
•Normotensive | 249 | -0.44 ± 0.97 | -13.9 | -3.07 | |||
•Prehypertensive | 20 | -0.85 ± 3,16 | -4.08 | -5.28 | |||
•Hypertensive | 67 | -0.30 ± 0.44 | -6.72 | -3.02 | |||
0.41 | 0.67 | ||||||
•Male | 207 | -0.48 ± 1.38 | -12.2 | -3.4 | |||
•Female | 40 | -0.34 ± 0.59 | -4.75 | -2.85 | |||
•Mixed | 89 | -0.38 ± 0.61 | -9.20 | -2.85 | |||
4.26 | 0.02 | ||||||
•Medicated | 58 | -0.20 ± 0.43 | -4.54 | -1.79 | |||
•Nonmedicated | 242 | -0.55 ± 1.31 | -15.7 | -3.87 | |||
•Unreported | 36 | -0.08 ± 0.38 | -1.04 | -0.88 | |||
0.87 | 0.49 | ||||||
•Sedentary | 105 | -0.48 ± 1.49 | -8.09 | -3.25 | |||
•Active | 186 | -0.47 ± 1.03 | -12.9 | -3.49 | |||
•Athletes | 20 | -0.35 ± 0.32 | -3.70 | -2.72 | |||
•Mixed | 13 | -0.25 ± 0.36 | -4.46 | -2.36 | |||
•Unreported | 12 | -0.10 ± 0.63 | 0.14 | 0.22 | |||
BP measurement | 1.47 | 0.23 | |||||
•Resting | 296 | -0.47 ± 1.21 | -15.3 | -3.36 | |||
•Ambulatory | 40 | -0.23 ± 0.37 | -4.64 | -1.92 | |||
1.03 | 0.36 | ||||||
•Morning | 99 | -0.31 ± 0.55 | -10.5 | -1.97 | |||
•Afternoon | 9 | -0.29 ± 0.68 | -1.89 | -1.33 | |||
•Unreported | 228 | -0.50 ± 1.33 | -11.91 | -3.79 | |||
Exercise | 0.81 | 0.45 | |||||
•Aerobic | 141 | -0.53 ± 1.61 | -10.2 | -3.80 | |||
•Resistance training | 175 | -0.38 ± 0.64 | -11.4 | -2.73 | |||
•Concurrent | 20 | -0.29 ± 0.34 | -4.51 | -2.93 | |||
4.09 | 0.001 | ||||||
•Conventional (RT) | 127 | -0.43 ± 0.67 | -10.8 | -2.84 | |||
•Circuit (RT) | 48 | -0.27 ± 0.54 | -3.77 | -2.43 | |||
•Running (AT) | 6 | -0.77 ± 0.99 | -4.00 | -3.90 | |||
•Jogging (AT) | 18 | -1.66 ± 3.20 | -7.80 | -10.83 | |||
•Walking (AT) | 7 | -0.19 ± 0.49 | -0.45 | -0.84 | |||
•Bicycling (AT) | 107 | -0.36 ± 1.20 | -6.79 | -2.82 | |||
•Mixed | 20 | -0.29 ± 0.34 | -4.51 | -2.93 | |||
0.44 | 0.64 | ||||||
•Constant | 277 | -0.46 ± 1.24 | -14.1 | -3.24 | |||
•Intermittent | 39 | -0.28 ± 0.30 | -4.63 | -2.55 | |||
•Incremental | 17 | -0.47 ± 0.56 | -6.07 | -4.29 | |||
0.54 | 0.66 | ||||||
•12 min | 163 | -0.35 ± 0.58 | -11.1 | -2.67 | |||
•35 min | 20 | -0.39 ± 0.67 | -2.83 | -3.14 | |||
•Unreported | 11 | -0.54 ± 0.74 | -4.35 | -2.65 |
BP: blood pressure; dBP: diastolic blood pressure; ES: efect size; RT: resistance training; AT: aerobic training; Mode: both, AT and RT are included;
The purpose of this meta-analysis was to determine the effectiveness of acute exercise interventions on the BP response. Although initially we intended to find the intensity, duration, and type of exercise that best reduced BP, we found that regardless of the participant, measurement features, and exercise characteristics, there was a reduction in BP in the hours that followed an exercise session. The reductions in BP following an exercise session were demonstrated by the corrected ES significantly different from zero in the experimental conditions. Significant ES were found for sBP (-0.56 or -4.8 mm Hg) and dBP (-0.44 or -3.2 mm Hg). The ES for the controls conditions were equal to zero.
The magnitude of the ES is considered moderate when between 0.41 and 0.70. 46 From a clinical perspective, epidemiological studies indicate that a decrease of 2 mmHg in the sBP is likely to reduce the mortality associated with stroke by 6% and coronary heart disease by 4%, whereas a reduction of 5 mmHg is likely to reduce the risk of these diseases by 14% and 9%, respectively. 1 , 47 Therefore, the reductions of 3 to 4 mmHg found in this meta-analysis confirm the importance of acute exercise as a non-pharmacological treatment of hypertension.
The fact that the ES in the control condition was not different from zero indicates that there was no contamination by extraneous variables in this set of studies. The heterogeneity of the data from the control condition might have been partially explained by the significant differences between measurements taken in the afternoon as opposed to the morning. This finding suggests a confounding effect of the circadian rhythm in hemodynamic variables, given the reductions in BP, heart rate, cardiac output, and stroke volume as the night approaches. 48 Other aspects may also influence this response, for instance, the fact that the BP measurement in the control condition was affected by exercise performed in the previous 48 hours. 49 Therefore, both factors must be considered in the design of future research protocols.
In the case of the corrected ES arising from the experimental condition, it is noteworthy that although all participants benefited from exercise to lower the sBP, males achieved greater reductions than females. This finding is consistent with those of other studies 50 that have suggested that females have a lower support of the autonomic tone necessary to regulate BP, as well as a lower effectiveness of the components that regulate the baroreflex. However, the same authors reported as a limitation of the study a failure to standardize the time of the menstrual cycle in the group of studied females. Evidence suggests that the different phases of the menstrual cycle are involved in the regulation of the autonomic nervous system. 51 While we computed 213 ES for males, we computed only 40 ES for females. Researchers have apparently neglected the female population, probably due to a fear that the menstrual cycle might confound the findings due to its involvement in BP regulation. Although the PEH can be reached at any point during the menstrual cycle in normotensive women, it is greater if the woman exercises during the early follicular phase. 52 However, further investigation is required on this topic to determine potential physiological mechanisms responsible for PEH, for instance, whether an interaction exists between gender, age, and arterial stiffness. 53
Based on speculations from previous findings, 10 we expected to find a greater PEH in hypertensive subjects than in prehypertensive and normotensive ones. However, the level of the participants' BP had no influence on the findings of the present study. This difference might be explained by the inclusion of non-medicated hypertensive and normotensive subjects in the study by Pescatello and Kulikowich; 10 therefore, given a higher initial BP there was also a greater change in post-exercise BP when determined by ambulatory measurement. Although the PEH was significant in normotensive, prehypertensive, and hypertensive patients in the present study, there were no differences between these categories. Moreover, there were significantly greater changes in non-medicated participants compared with medicated ones. This finding might be explained by the interaction between medication intake and exercise intervention. 5 Another feasible explanation for our findings opposing those by others 10 might have been that some participants were classified as "medicated hypertensive", and therefore, BP values were close to or within the normal range. If this explanation holds true, the "baseline" law 8 , 10 , 54 also seems to apply in the present study. In other words, since BP values were close to normal even in hypertensive subjects ( i.e. , baseline), it is harder to achieve a lower BP following an exercise session. Therefore, these speculations deserve to be investigated with further post-meta-analytical studies, since the physiological mechanisms potentially explaining these findings are largely unknown.
Physically active individuals achieved higher BP decreases after the exercise session. This was observed even though the PEH occurred independently from the level of physical activity of the participants. This seems to support the theory proposed by some authors 55 who observed that some physiological mechanisms that chronically reduce BP also play a role in the onset of PEH. For example, exercise training has been shown to cause a systemic adaptation of the arterial wall in healthy individuals, 56 which might translate to better arterial vessel compliance that may facilitate the decrease in peripheral resistance following an exercise session.
We observed in this study an inverse association between age and PEH. Increasing age decreases the magnitude of PEH. As a person ages, there is an increase in arterial stiffness that results from progressive destruction of the elastic fibers, a decrease in capillary density, and an increase in arteriolar wall thickness. These structural and functional changes, in turn, increase vascular resistance and limit the response to vasodilator agents released during exercise. 57 Similarly, if the VO 2 max is greatest when the person is young and active, then the relationship between a higher VO 2 max and a greater decrease in sBP could also be explained by the aforementioned physiological mechanisms.
The finding that a lower BMI was associated with a greater reduction in sBP is in line with evidence showing that adipose tissue accumulation, especially in the abdominal area, is linked to several mechanisms leading to hypertension, including sympathetic overactivity, endothelial dysfunction, arterial stiffness, and inflammation. 55 , 58 , 59 The implications of these findings are significant, given that a large proportion of the world population is hypertensive and obese; therefore, maintaining a normal BMI could lead in many cases to a greater hypotensive effect following an exercise session. 60
More than a decade ago, the American College of Sports Medicine (ACSM), 3 recommended that resistance exercise should be accompanied by aerobic exercise. Recent studies attempted to determine whether resistance exercise alone could produce the same hypotensive effect than aerobic exercise. 31 , 61 - 62 Motivated by the increase in the number of these studies, we decided to meta-analyze the type of exercise as a moderator variable. We found that both aerobic and resistance exercises alone were able to induce a hypotensive effect.
In this study, we found jogging to be the exercise modality that elicits the greater magnitude of sBP and dBP changes. Other findings were that walking does not reduce the dBP; that the longer the duration of the exercise session, the greater the sBP reduction; and that incremental exercise protocols produced the highest reductions in sBP. These findings seem to agree with a previous report 63 that associated the PEH with the total exercise workload and not with the intensity at which the exercise was performed. However, these findings should be confirmed in future studies, because the results could have been masked by BMI, age, and physical activity level of the participants included in the different studies. This might be partially explained by a tendency to use walking as the exercise intervention if participants are overweight, elderly, or sedentary; 64 , 65 and jogging if the subjects are not obese, younger, or physically active. 22
Post meta-analytical studies assessing resistance training programs are needed, since reductions in dBP were found with a greater number of resistance exercises, although these exercises also led to a minor decrease in sBP. Because of the contradictory findings, it is likely that future studies may manipulate these variables to determine whether several resistance exercise sets reflect an increased workload and, therefore, a greater PEH, 63 , 66 or if the design of the program should require several resting periods between exercises to dampen the BP elevation that normally occurs during resistance exercise 67 in order to facilitate the onset of the PEH.
One implication arising from this meta-analysis affects the prescription of exercise. It is necessary to determine whether the PEH is greater as the exercise workload increases, 63 , 68 and whether it varies in females according to the menstrual cycle phase. 52 Other questions that remain to be answered include the duration of the PEH when the individual is performing daily living activities ( i.e. , outpatient phase), 5 , 10 and what is the role played by genetics in triggering the PEH response. 69 , 70
In conclusion, regardless of the characteristics of the sample and exercise, the BP reduced in the hours following an acute exercise session. However, the reduction was greater if the exercise was performed as a preventive strategy and in physically active individuals who were not yet medicated.
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Hypertension Research ( 2024 ) Cite this article
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This study aimed to investigate the association between the frequency of home blood pressure (HBP) measurement and hypertension control in a middle-aged working population. This study included 627 employees aged 40 years or older who underwent health check-ups for 2 consecutive years from 2019 to 2022 and had blood pressure (BP) ≥ 140/90 mmHg at the health check-up in the first year. The participants were stratified by the length of antihypertensive treatment (within 1 year, >1 year) using data in the first and second years, and were classified by the frequency of HBP measurement (<6 times/week, almost every day) using data in the second year. In each treatment length, logistic regression analyses were used to estimate multivariable adjusted odds ratios (ORs) of controlled hypertension (BP at health check-ups <140/90 mmHg in the second year) in those who measured HBP almost every day compared with those who measured HBP < 6 times/week. The ORs (95% confidence intervals) were 1.56 (0.94–2.73) in those within 1 year of starting treatment and 0.74 (0.44–1.22) in those with more than 1 year of starting treatment. In participants with BP ≥ 160/100 mmHg in the first year, the corresponding ORs were 1.94 (1.04–3.64) and 0.41 (0.13–1.23), respectively. In conclusion, in individuals within 1 year of starting treatment, those who measure HBP almost every day tend to have good control of hypertension. In particular, in those who have BP ≥ 160/100 mmHg before starting antihypertensive medication, measuring HBP almost every day is associated with good control of hypertension.
Among those within 1 year of starting the treatment (Group1) especially in those with blood pressure ≥160/100 mmHg, the frequency of home blood pressure measurement was associated with hypertension control. It was not associated among those with more than 1 year of starting the treatment (Group 2).
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We thank all members of Heiwado Health Insurance Society and Heiwado Occupational Health Care Office, especially Ms. Atsuko Kawamura for her careful coordination of the staff who administered the health check-ups and Mr. Shinobu Takada for his contribution to collecting the data. This study was supported by Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (21K17313 and 21K19670).
This study was supported by Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (21K17313, 21K19670, and 22H03358).
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Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
Yukako Tatsumi, Kei Asayama & Takayoshi Ohkubo
Department of Clinical Nursing, Shiga University of Medical Science, Shiga, Japan
Yukako Tatsumi, Azusa Shima, Ayumi Morino & Naomi Miyamatsu
Occupational Health Care Office, HEIWADO CO., LTD., Shiga, Japan
Azusa Shima, Ayumi Morino & Yuichiro Kawatsu
Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
Michihiro Satoh
Department of Pharmacy, Tohoku Medical and Pharmaceutical University Hospital, Sendai, Japan
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Three of the authors (AS, AM, and YK) are health professionals of the retail company whose employees are insured by the Employees’ Health Insurance Society. They provided the data for the present study. The other authors do not have any conflict of interest to disclose.
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Tatsumi, Y., Shima, A., Satoh, M. et al. Home blood pressure measurement and hypertension control according to the length of antihypertensive treatment among employees. Hypertens Res (2024). https://doi.org/10.1038/s41440-024-01863-9
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Over 80% of patients achieved control within a month, sustained at six months.
New triple-drug combination therapy GMRx2 has proven more effective than standard hypertension treatments, significantly lowering blood pressure in patients with uncontrolled hypertension. This could drastically reduce cardiovascular event risks and improve global health outcomes, especially in low- and middle-income countries.
According to new research, a treatment plan based on a novel combination of low doses of three anti-hypertensive drugs in a single pill – known as GMRx2 – was superior to a high-quality standard care treatment plan at lowering blood pressure in patients with uncontrolled hypertension. [1]
Results of the ‘deliVERy of Optimal blood pressure coNtrol in afrICA (VERONICA)-Nigeria’ trial, led by The George Institute for Global Health, were presented today at the European Society of Cardiology Congress 2024 and simultaneously published in the Journal of the American Medical Association (JAMA) .
The GMRx2 treatment plan involved a once-daily pill containing telmisartan, amlodipine, and indapamide at a quarter, half, or standard doses. The standard care treatment plan recommended by the Nigerian Ministry of Health began with monotherapy, followed by dual and triple combination therapy, and was typical of hypertension guidelines for many countries. [2]
After 6 months of treatment, home systolic blood pressure was 31mmHg lower in the GMRx2 group compared to 26 mmHg lower with standard care – the 5.8 mmHg difference was highly clinically and statistically significant. Existing evidence shows that with every 5 mmHg reduction in systolic blood pressure, there is a 10% reduction in major cardiovascular events such as stroke, heart attack, and heart failure. [3]
After just one month, 81% of participants in the GMRx2 group achieved clinic-measured blood pressure control versus 55% with standard care. This improvement was sustained at six months with 82% achieving control, compared with 72% under standard care. The tolerability of both treatment plans was good, with no withdrawals due to adverse events.
Prof Dike Ojji, Head of the Cardiovascular Research Unit at the University of Abuja, Nigeria and study principal investigator said, “The triple pill still produced clinically meaningful reductions in blood pressure compared to standard care, even when standard care closely followed current guidelines and involved more clinic visits.”
“In low-income countries, fewer than one in four treated people achieve blood pressure control and in high-income settings, it is only between 50% and 70%,” added Prof Ojji, “so to see rates of over 80% in just one month is impressive.”
It is estimated that over a billion adults live with hypertension worldwide, with two-thirds living in low- and middle-income countries. 4 High blood pressure is the leading risk factor for mortality, accounting for 10.8 million deaths a year. [4,5] It is hoped this new treatment could have a big impact on reducing rates of cardiovascular disease , particularly in countries with the highest burden.
GMRx2 is the leading drug candidate of George Medicines, a late-stage, biopharmaceutical company addressing significant unmet need in the treatment of cardiometabolic disease, established to commercialise the research of The George Institute for Global Health. Earlier this month, GMRx2 was submitted to the US Food and Drug Administration (FDA) for the treatment of hypertension.
Phase III data from two additional GMRx2 trials were also presented at the congress, showing good tolerability and clinically relevant blood pressure reductions compared to placebo and dual combination therapy. [6,7]
Prof Anthony Rodgers, Senior Professorial Fellow at The George Institute and Chief Medical Officer at George Medicines said, “Our mission is to develop sustainable solutions that can improve the health of millions of people worldwide and alleviate strain on health systems. There is a global goal to reach 80% blood pressure control among those treated, but no country has yet achieved this. With the VERONICA trial, we’ve shown the potential of this novel strategy to reach this ambitious target.”
“There has been little innovation in this field, so it’s rewarding to see many years of research by The George Institute culminate in a novel treatment using established medicines to address an unmet need,” he added.
The VERONICA trial is funded by the Australian National Health and Medical Research Council.
References:
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A starch- and sucrose-reduced diet has similar efficiency as low fodmap in ibs—a randomized non-inferiority study.
2. materials and methods, 2.1. study design, 2.2. patients, 2.3. dietary advice, 2.4. questionnaires, 2.4.1. study questionnaire, 2.4.2. rome iv questionnaire, 2.4.3. irritable bowel syndrome-severity scoring system, 2.4.4. visual analog scale for irritable bowel syndrome, 2.5. statistical analyses, 3.1. basal characteristics, 3.2. gastrointestinal and extraintestinal symptoms, 3.3. anthropometric data, 3.4. follow-up, 3.5. safety outcomes, 4. discussion, 5. conclusions, supplementary materials, author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest.
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Parameters | SSRD N = 77 | Low FODMAP N = 78 | p-Value |
---|---|---|---|
41.0 (29.5–53.0) | 43.0 (33.8–56.0) | 0.227 | |
15 (19.5)/62 (80.5) | 10 (12.8)/68 (87.2) | 0.283 | |
71.5 (63.6–82.8) | 68.6 (63.0–83.4) | 0.389 | |
) | 25.1 (22.6–28.4) | 24.7 (22.1–27.6) | 0.479 |
16 (7–27) | 20 (10–30) | 0.261 | |
0.585 | |||
Primary school | 5 (6.5) | 2 (2.6) | |
Secondary school | 10 (13.0) | 13 (16.7) | |
Education after secondary school | 20 (26.0) | 17 (21.8) | |
Examination at university | 42 (54.5) | 46 (59.0) | |
0.963 | |||
Working full time | 48 (62.3) | 46 (59.0) | |
Working 99–51% | 6 (7.8) | 9 (11.5) | |
Working 50% | 1 (1.3) | 1 (1.3) | |
Studying | 10 (13.0) | 10 (12.8) | |
Sick leave | 3 (3.9) | 2 (2.6) | |
Unemployment | 3 (3.9) | 2 (2.6) | |
Retirement | 6 (7.8) | 8 (10.3) | |
0.837 | |||
Living alone | 16 (20.8) | 14 (17.9) | |
Living together | 55 (71.4) | 56 (71.8) | |
Other | 6 (7.8) | 8 (10.3) | |
0.086 | |||
Never | 42 (54.5) | 43 (55.1) | |
Former | 26 (33.8) | 28 (35.9) | |
Present un regular | 2 (2.6) | 6 (7.7) | |
Present regular | 7 (9.1) | 1 (1.3) | |
1.000 | |||
Missing | 1 | ||
<1 | 34 (44.2) | 33 (42.3) | |
1–4 | 28 (36.4) | 29 (37.2) | |
5–9 | 13 (16.9) | 13 (16.7) | |
10–14 | 1 (1.3) | 2 (2.6) | |
≥15 | 1 (1.3) | 0 | |
0.475 | |||
Missing | 1 | ||
No time | 10 (13.0) | 8 (10.4) | |
<30 min | 11 (14.3) | 14 (18.2) | |
30–60 min | 16 (20.8) | 14 (18.2 | |
60–90 min | 8 (10.4) | 16 (20.8) | |
90–120 min | 8 (10.4) | 8 (10.4) | |
>120 min | 24 (31.2) | 17 (22.1) |
SSRD N = 77 | Low FODMAP N = 78 | p-Value * | |||||
---|---|---|---|---|---|---|---|
VAS-IBS (mm) | Value | p-Value | Difference | Value | p-Value | Difference | |
5 (1–13) | |||||||
Baseline | 47 (28–64) | - | - | 50 (32–65) | - | - | 0.368 |
2 weeks | 17 (8–30) | <0.001 | −27 (−47–(−9)) | 22 (13–40) | <0.001 | −19 (−36–(−3)) | 0.252 |
4 weeks | 16 (0–31) | <0.001 | −24 (−44–(−9)) | 13 (0–27) | <0.001 | −30 (−53–(−8)) | 0.425 |
6 months | 32 (19–63) | 0.003 | −6 (−28–3) | 30 (16–54) | <0.001 | −16 (−38–4) | 0.270 |
3 (0–10) | |||||||
Baseline | 53 (19–73) | - | - | 37 (4–74) | - | - | 0.245 |
2 weeks | 15 (4–48) | <0.001 | −14 (−51–0) | 10 (0–37) | <0.001 | −14 (−38–0) | 0.793 |
4 weeks | 17 (3–39) | <0.001 | −8 (−48–2) | 8 (0–24) | <0.001 | −16 (−53–0) | 0.633 |
6 months | 31 (8–68) | <0.001 | −12 (−39–0) | 11 (3–44) | 0.008 | −8 (−30–7) | 0.457 |
6 (2–16) | |||||||
Baseline | 53 (6–72) | - | - | 54 (10–76) | - | - | 0.439 |
2 weeks | 16 (2–50) | <0.001 | −12 (−36–2) | 20 (0–68) | 0.02 | −6 (−28–4) | 0.510 |
4 weeks | 16 (2–43) | <0.001 | −8 (−46–0) | 21 (0–55) | <0.001 | −13 (−33–0) | 0.815 |
6 months | 22 (0–61) | 0.121 | −3 (−24–12) | 42 (2–70) | 0.022 | −4 (−32–3) | 0.528 |
10 (2–23) | |||||||
Baseline | 73 (58–88) | - | - | 73 (54–86) | - | - | 0.677 |
2 weeks | 34 (18–53) | <0.001 | −37 (−53–(−9)) | 23 (13–50) | <0.001 | −39 (−56–(−16)) | 0.469 |
4 weeks | 24 (10–54) | <0.001 | −43 (−63–(−11) | 19 (8–50) | <0.001 | −44 (−61–(−25)) | 0.359 |
6 months | 62 (30–75) | 0.002 | −15 (−38–14) | 56 (33–70) | <0.001 | −18 (−33–(−3)) | 0.416 |
2 (0–4) | |||||||
Baseline | 13 (2–34) | - | - | 13 (1–36) | - | - | 0.957 |
2 weeks | 6 (0–12) | <0.001 | −7 (−20–0) | 4 (0–12) | <0.001 | −7 (−22–0) | 0.773 |
4 weeks | 3 (0–12) | <0.001 | −6 (−15–0) | 0 (0–11) | <0.001 | −7 (−21–0) | 0.743 |
6 months | 8 (1–21) | 0.002 | −4 (−14–1) | 5 (0–21) | 0.009 | −2 (−17–1) | 0.892 |
2 (0–14) | |||||||
Baseline | 74 (57–84) | - | - | 70 (54–84) | - | - | 0.694 |
2 weeks | 29 (15–60) | <0.001 | −36 (−52–(−11)) | 30 (17–60) | <0.001 | −28 (−50–(−15)) | 0.688 |
4 weeks | 24 (12–62) | <0.001 | −30 (−60–(−10)) | 22 (10–50) | <0.001 | −33 (−53–(−18)) | 0.593 |
6 months | 40 (23–76) | <0.001 | −12 (−45–0) | 48 (24–68) | <0.001 | −26 (−43–(−2)) | 0.492 |
5 (2–15) | |||||||
Baseline | 39 (15–65) | - | - | 45 (16–59) | - | - | 0.708 |
2 weeks | 24 (11–42) | <0.001 | −7 (−26–0) | 27 (8–46) | 0.021 | −4 (−25–5) | 0.339 |
4 weeks | 20 (5–32) | <0.001 | −12 (−29–(−2) | 18 (2–34) | <0.001 | −13 (−32–1) | 0.788 |
6 months | 22 (11–50) | 0.009 | −6 (−20–4) | 26 (8–39) | 0.043 | −2 (−30–7) | 0.911 |
Baseline | 301 (233–348) | - | - | 300 (238–360) | - | - | 0.845 |
2 weeks | 136 (87–223) | <0.001 | −138 (−212–(−82)) | 151 (100–232) | <0.001 | −110 (−188–(−68)) | 0.310 |
4 weeks | 119 (66–230) | <0.001 | −146 (−240–(−88)) | 116 (63–176) | <0.001 | −153 (−231–(−90)) | 0.585 |
6 months | 204 (146–234) | <0.001 | −55 (−130–4) | 220 (144–301) | <0.001 | −93 (−181–(−20)) | 0.069 |
SSRD | p-Value * | Low FODMAP | p-Value * | p-Value ** | |
---|---|---|---|---|---|
N = 77 | N = 78 | 0.078 | |||
IBS-C | 14 (18.2) | 12 (15.4) | |||
IBS-D | 29 (37.7) | 15 (19.2) | |||
IBS-M | 22 (28.6) | 32 (41.0) | |||
IBS-U | 2 (2.6) | 5 (6.4) | |||
FBD | 10 (13.0) | 14 (17.9) | |||
0.621 | |||||
IBS-C | 8 (10.4) | 10 (12.8) | |||
IBS-D | 8 (10.4) | 7 (9.0) | |||
IBS-M | 14 (18.2) | 9 (11.5) | |||
IBS-U | 0 | 2 (2.6) | |||
FBD | 23 (29.9) | 25 (32.1) | |||
Healthy | 19 (24.7) | 19 (24.4) | |||
Missing | 5 (6.5) | <0.001 | 6 (7.7) | <0.001 | |
0.198 | |||||
IBS-C | 6 (7.8) | 11 (14.1) | |||
IBS-D | 8 (10.4) | 6 (7.7) | |||
IBS-M | 12 (15.6) | 9 (11.5) | |||
IBS-U | 1 (1.3) | 3 (3.8) | |||
FBD | 23 (29.9) | 13 (16.7) | |||
Healthy | 3 (3.9) | 7 (9.0) | |||
Missing | 24 (31.2) | <0.001 | 29 (37.2) | 0.046 |
SSRD N = 77 | Low FODMAP N = 78 | p-Value * | |||||
---|---|---|---|---|---|---|---|
Extraintestinal IBS-SSS | Value | p-Value | Difference | Value | p-Value | Difference | |
Baseline | 10 (2–26) | - | - | 6 (0–22) | - | - | 0.267 |
2 weeks | 4 (0–12) | 0.002 | −3 (−13–3) | 3 (0–13) | 0.005 | −2 (−11–0) | 0.951 |
4 weeks | 2 (0–13) | <0.001 | −4 (−16–1) | 0 (0–9) | <0.001 | −3 (−12–0) | 0.629 |
6 months | 4 (0–14) | 0.074 | −2 (−13–4) | 2 (0–18) | 0.053 | −1 (−10–0) | 0.940 |
Baseline | 33 (10–66) | - | - | 27 (9–58) | - | - | 0.737 |
2 weeks | 14 (5–36) | <0.001 | −5 (−30–2) | 15 (2–47) | <0.001 | −6 (−22–0) | 0.993 |
4 weeks | 14 (2–32) | <0.001 | −9 (−27–2) | 12 (0–35) | <0.001 | −9 (−31–0) | 0.855 |
6 months | 24 (10–55) | 0.185 | −1 (−21–8) | 20 (4–50) | 0.001 | −4 (−21–2) | 0.324 |
Baseline | 20 (4–50) | - | - | 28 (4–65) | - | - | 0.395 |
2 weeks | 6 (0–29) | <0.001 | −6 (−21–0) | 14 (0–39) | <0.001 | −2 (−26–2) | 0.409 |
4 weeks | 6 (0–30) | <0.001 | −7 (−22–0) | 4 (0–35) | <0.001 | −7 (−32–0) | 0.998 |
6 months | 23 (4–58) | 0.157 | −4 (−18–8) | 24 (4–70) | 0.675 | 0 (−14–12) | 0.501 |
Baseline | 57 (30–81) | - | - | 74 (48–84) | - | - | 0.055 |
2 weeks | 33 (16–68) | <0.001 | −14 (−27–0) | 47 (19–70) | <0.001 | −12 (−32–0) | 0.660 |
4 weeks | 27 (9–56) | <0.001 | −18 (−32–(−2)) | 37 (14–60) | <0.001 | −19 (−38–(−3)) | 0.712 |
6 months | 49 (18–68) | 0.004 | −7 (−20–4) | 48 (19–69) | <0.001 | −13 (−27–0) | 0.128 |
Baseline | 72 (48–85) | - | - | 75 (52–87) | - | - | 0.621 |
2 weeks | 24 (10–66) | <0.001 | −21 (−51––(−6)) | 37 (14–66) | <0.001 | −23 (−44–(−6)) | 0.804 |
4 weeks | 14 (6–40) | <0.001 | −41 (−67–(−6)) | 21 (8–45) | <0.001 | −41 (−59–(−19)) | 0.878 |
6 months | 47 (20–68) | <0.001 | −13 (−33–(−2)) | 48 (22–70) | <0.001 | −15 (−37–(−2)) | 0.599 |
Baseline | 20 (7–50) | - | - | 20 (2–60) | - | - | 0.678 |
2 weeks | 5 (0–18) | <0.001 | −12 (−27–0) | 7 (0–35) | <0.001 | −6 (−30–0) | 0.274 |
4 weeks | 4 (0–20) | <0.001 | −12 (−28–0) | 3 (0–26) | <0.001 | −10 (−30–0) | 0.945 |
6 months | 11 (4–26) | 0.002 | −6 (−20–2) | 21 (2–54) | 0.013 | −3 (−18–2) | 0.727 |
Baseline | 14 (2–64) | - | - | 22 (4–64) | - | - | 0.491 |
2 weeks | 7 (0–24) | <0.001 | −7 (−24–0) | 7 (0–33) | <0.001 | −8 (−29–0) | 0.598 |
4 weeks | 4 (0–23) | <0.001 | −6 (−34–0) | 3 (0–22) | <0.001 | −13 (−44–0) | 0.290 |
6 months | 18 (0–44) | 0.003 | −7 (−22–1) | 16 (0–53) | 0.003 | −7 (−19–0) | 0.975 |
Baseline | 2 (0–9) | - | - | 0 (0–18) | - | - | 0.995 |
2 weeks | 1 (0–15) | 0.281 | 0 (−4–2) | 0 (0–10) | 0.036 | 0 (−3–0) | 0.776 |
4 weeks | 0 (0–7) | 0.024 | 0 (−4–0) | 0 (0–5) | 0.005 | 0 (−4–0) | 0.564 |
6 months | 2 (0–12) | 0.774 | 0 (−2–2) | 0 (0–14) | 0.573 | 0 (−2–2) | 0.682 |
Baseline | 25 (5–56) | - | - | 30 (4–72) | - | - | 0.506 |
2 weeks | 11 (0–46) | 0.002 | −5 (−20–1) | 18 (0–57) | 0.014 | −1 (−20–4) | 0.616 |
4 weeks | 13 (0–30) | <0.001 | −10 (−27–0) | 12 (0–39) | <0.001 | −3 (−35–1) | 0.699 |
6 months | 23 (5–53) | 0.032 | −3 (−17–4) | 19 (4–70) | 0.084 | −2 (−18–7) | 0.755 |
Baseline | 160 (110–208) | - | - | 172 (120–242) | - | - | 0.268 |
2 weeks | 96 (50–154) | <0.001 | −60 (−89–(−20)) | 115 (55–156) | <0.001 | −54 (−82–(−30)) | 0.852 |
4 weeks | 91 (28–140) | <0.001 | −72 (−112–(−41)) | 77 (44–136) | <0.001 | −83 (−118–(−44)) | 0.408 |
6 months | 127 (71–191) | <0.001 | −44 (−75–2) | 133 (78–214) | <0.001 | −36 (−59–(−10)) | 0.977 |
SSRD N = 77 | Low FODMAP N = 78 | p-Value * | |||||
---|---|---|---|---|---|---|---|
Variables | Value | p-Value | Difference | Value | p-Value | Difference | |
(kg) | |||||||
Baseline | 71.5 (63.6–82.8) | - | - | 68.6 (63–83.4) | - | - | 0.513 |
4 weeks | 70 (63.2–81) | <0.001 | −1.6 (−2.4–(−0.4)) | 67.8 (62.5–82.7) | <0.001 | −0.8 (−1.6–(−0.1)) | 0.006 |
6 months | 74.1 (66.6–85.7) | 0.516 | −0.2 (−1.4–1.2) | 68.6 (62.8–80.8) | 0.079 | −0.3 (−1.6–0.6) | 0.438 |
(kg/m ) | |||||||
Baseline | 25.14 (22.64–28.45) | - | - | 24.68 (22.13–27.64) | - | - | 0.538 |
4 weeks | 24.8 (21.97–27.6) | <0.001 | −0.55 (−0.86–(−0.15)) | 24.63 (22–27.32) | <0.001 | −0.26 (−0.56–(−0.03)) | 0.005 |
6 months | 25.95 (22.66–28.57) | 0.504 | −0.07 (−0.53–0.44) | 25.08 (22.05–26.76) | 0.089 | −0.11 (−0.54–0.23) | 0.526 |
(cm) | |||||||
Baseline | 88 (76–97) | - | - | 86 (79–94.8) | - | - | 0.831 |
4 weeks | 86 (75–94) | <0.001 | −2 (−4–0) | 85 (79–93) | <0.001 | −2 (−3–1) | 0.981 |
6 months | 89 (77.5–97) | 0.022 | −1 (−4–1) | 85.5 (80–93.5) | 0.038 | −1 (−3–1) | 0.758 |
(mmHg) | |||||||
Baseline | 125 (114–139) | 126 (116–139) | 0.657 | ||||
4 weeks | 123 (114–135) | 0.097 | −2 (−10–6) | 124 (113–135) | 0.024 | −3 (−8–3) | 0.762 |
6 months | 127 (116–138) | 0.588 | −1 (−7–6) | 126 (117–136) | 0.138 | −3 (−12–8) | 0.399 |
(mmHg) | |||||||
Baseline | 81 (72–88) | 81 (74–90) | 0.403 | ||||
4 weeks | 78 (70–84) | 0.006 | −3 (−6–3) | 80 (73–85) | <0.001 | −4 (−8–2) | 0.225 |
6 months | 80 (76–86) | 0.575 | −2 (−6–5) | 80 (72–86) | 0.044 | −1 (−10–3) | 0.190 |
(mm) | |||||||
Baseline | 66 (40–85) | - | - | 60 (29–80) | - | - | 0.384 |
4 weeks | 34 (17–67) | <0.001 | −15 (−41–0) | 41 (22–69) | 0.001 | −8 (−23–5) | 0.050 |
6 months | 53 (31–72) | 0.058 | −7 (−23–10) | 48 (28–72) | 0.246 | −2 (−10–8) | 0.448 |
(mm) | |||||||
Baseline | 74 (52–93) | - | - | 77 (68–86) | - | - | 0.833 |
4 weeks | 83 (69–93) | 0.107 | 4 (−12–24) | 80 (62–90) | 0.688 | 1 (−10–12) | 0.261 |
6 months | 77 (69–90) | 0.473 | 0 (−12–16) | 72 (62–87) | 0.464 | −2 (−13–16) | 0.275 |
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Roth, B.; Nseir, M.; Jeppsson, H.; D’Amato, M.; Sundquist, K.; Ohlsson, B. A Starch- and Sucrose-Reduced Diet Has Similar Efficiency as Low FODMAP in IBS—A Randomized Non-Inferiority Study. Nutrients 2024 , 16 , 3039. https://doi.org/10.3390/nu16173039
Roth B, Nseir M, Jeppsson H, D’Amato M, Sundquist K, Ohlsson B. A Starch- and Sucrose-Reduced Diet Has Similar Efficiency as Low FODMAP in IBS—A Randomized Non-Inferiority Study. Nutrients . 2024; 16(17):3039. https://doi.org/10.3390/nu16173039
Roth, Bodil, Mohamed Nseir, Håkan Jeppsson, Mauro D’Amato, Kristina Sundquist, and Bodil Ohlsson. 2024. "A Starch- and Sucrose-Reduced Diet Has Similar Efficiency as Low FODMAP in IBS—A Randomized Non-Inferiority Study" Nutrients 16, no. 17: 3039. https://doi.org/10.3390/nu16173039
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On examination, the temperature was 36.8°C, the blood pressure 180/110 mm Hg, the heart rate 73 beats per minute, the respiratory rate 18 breaths per minute, and the oxygen saturation 98% while ...
Low blood pressure is referred to as hypotension, especially in the arteries of the systemic circulation. Hypotension is generally considered systolic blood pressure less than 90 millimetres of mercury (mmHg) or diastolic less than 60 mmHg. A person's blood pressure reading appears as two numbers. The first and higher of the two numbers is a ...
Management of low blood pressure in ambulatory heart ...
What To Do if Your Blood Pressure Is Too Low
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Low blood pressure (hypotension) - Symptoms and causes
Low blood pressure (hypotension) - Diagnosis and treatment
⨁⨁ LOW a,c: Systolic blood pressure (12 months) 1216 (2 RCTs) ⨁⨁ LOW e,d: Diastolic blood pressure (12 months) ... All studies in which the only systematic difference between the groups was the presence or absence of case management were included; thus, studies with more than two arms were excluded.
Low Blood Pressure: Causes, Symptoms, and Treatment ...
Objectives: To synthesize the best available evidence regarding the effectiveness of nursing case management in primary health care, compared to usual care, in improving blood pressure in adults over 18 years with hypertension. Methods: Systematic review that includes studies carried out with adult patients diagnosed with hypertension, with or without other concomitant chronic diseases ...
As many doctors focus on keeping the bottom blood pressure reading within the 70-90 mm Hg range, the researchers suggest that some patients with high blood pressure may have been undertreated in the past. The study is in agreement with the SPRINT findings indicating that lower blood pressure targets are better for your health, the researchers said.
Definitions used in these clinical case scenarios. Definitions Stage 1 hypertension Clinic blood pressure is 140/90 mmHg or higher and. subsequent ambulatory blood pressure monitoring (ABPM) daytime average or home blood pressure monitoring (HBPM) average blood pressure is 135/85 mmHg or higher. Stage 2 hypertension Clinic blood pressure is 160 ...
Unfortunately, all of these drug classes can cause hypotension. In our clinic, we regularly encounter patients with heart failure who have low normal blood pressure. We try to administer ≥2 classes of drugs, usually BB and angiotensin-converting enzyme inhibitors. Some patients, however, can only tolerate a single drug.
CASE #1. A 59-year-old man with type 2 diabetes presents with concerns about high blood pressure (BP). At a recent visit to his dentist he was told his BP was high.
Low blood pressure (hypotension)
Anecdotal reports include lowering of high blood pressure (BP). Objective: To test such reports, a pilot case history series was undertaken with hypertensive patients in a single physician cardiology practice. Intervention: Patients grounded themselves at home for at least 10 h/d for several mo. Outcome measure: BP was measured at baseline in ...
Case study | American Journal of Hypertension
Fragmented investigation has masked the overall picture for causes of cardiovascular disease (CVD). Among the risk factors for CVD, high blood pressure (BP) is associated with the strongest evidence for causation and it has a high prevalence of exposure. Biologically, normal levels of BP are considerably lower than what has typically been characterized as normal in research and clinical ...
Intervention studies have generally been conducted as short-term randomized controlled trials that investigated the BP effects of reduced alcohol intake in adults with a high alcohol intake. 5,7-9 The body of evidence detailing the effects of changes in alcohol intake on systolic blood pressure (SBP) and diastolic blood pressure (DBP) in persons who were initially consuming light to moderate ...
Acute Effects of Exercise on Blood Pressure: A Meta- ...
This study aimed to investigate the association between the frequency of home blood pressure (HBP) measurement and hypertension control in a middle-aged working population. This study included 627 ...
Normal Range =. Hypotension. Low blood pressure is referred to as hypotension, especially in the arteries of the systemic circulation. Hypotension is generally considered systolic blood pressure less than 90 millimetres of mercury (mmHg) or diastolic less than 60 mmHg. A person's blood pressure reading appears as two numbers.
Existing evidence shows that with every 5 mmHg reduction in systolic blood pressure, there is a 10% reduction in major cardiovascular events such as stroke, heart attack, and heart failure. [3] After just one month, 81% of participants in the GMRx2 group achieved clinic-measured blood pressure control versus 55% with standard care.
Background/Objectives: Comprehensive conservative management (CCM) is a viable treatment option for elderly patients with end-stage kidney disease (ESKD). However, it involves a significant change in dietary habits, such as adopting a low-protein diet. Therefore, it is crucial to understand its impact on the patient's quality of life (QoL), particularly when compared to hemodialysis (HD).
A diet with low content of fermentable oligo-, di-, and monosaccharides and polyols (FODMAP) is established treatment for irritable bowel syndrome (IBS), with well-documented efficiency. A starch- and sucrose-reduced diet (SSRD) has shown similar promising effects. The primary aim of this randomized, non-inferiority study was to test SSRD against low FODMAP and compare the responder rates (RR ...