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Nutrition and Exercise Interventions to Improve Body Composition for Persons with Overweight or Obesity Near Retirement Age: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.
Eglseer, D, Traxler, M, Embacher, S, Reiter, L, Schoufour, JD, Weijs, PJM, Voortman, T, Boirie, Y, Cruz-Jentoft, A, Bauer, S
Advances in nutrition (Bethesda, Md.). 2023;14(3):516-538
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Obesity is characterised by excessive fat accumulation that often occurs during the process of aging. Aging is accompanied not only by a gradual increase in body fat stores but also a decrease in muscle mass, muscle function, and water retention. The aim of this study was to assess which nutrition and exercise interventions are most effective for improving the body composition (fat mass and muscle mass), body mass index, and waist circumference in persons with overweight or obesity near retirement age (55 to 70 years of age). This study was a systematic review and network meta-analysis (NMA) of randomised controlled trials of sixty-six studies. Results of the NMA showed that the most effective strategy to improve body composition, i.e., losing fat without increasing risk of sarcopenia in persons with obesity around retirement age, was combining energy restriction with resistance training or with mixed exercise (resistance combined with aerobic exercise) and/or high-protein intake. In fact, without training, an energy-restricted diet with or without added protein helped individuals lose fat mass but also tended to result in losses of muscle mass. Authors conclude that an energy-restricted diet alone probably contributes to the development of sarcopenic obesity in persons of retirement age. Thus, to simultaneously lose weight and maintain muscle mass, authors recommend a combination of energy restriction and resistance training.
Abstract
The retirement phase is an opportunity to integrate healthy (nutrition/exercise) habits into daily life. We conducted this systematic review to assess which nutrition and exercise interventions most effectively improve body composition (fat/muscle mass), body mass index (BMI), and waist circumference (WC) in persons with obesity/overweight near retirement age (ages 55-70 y). We conducted a systematic review and network meta-analysis (NMA) of randomized controlled trials, searching 4 databases from their inception up to July 12, 2022. The NMA was based on a random effects model, pooled mean differences, standardized mean differences, their 95% confidence intervals, and correlations with multi-arm studies. Subgroup and sensitivity analyses were also conducted. Ninety-two studies were included, 66 of which with 4957 participants could be used for the NMA. Identified interventions were clustered into 12 groups: no intervention, energy restriction (i.e., 500-1000 kcal), energy restriction plus high-protein intake (1.1-1.7 g/kg/body weight), intermittent fasting, mixed exercise (aerobic and resistance), resistance training, aerobic training, high protein plus resistance training, energy restriction plus high protein plus exercise, energy restriction plus resistance training, energy restriction plus aerobic training, and energy restriction plus mixed exercise. Intervention durations ranged from 8 wk to 6 mo. Body fat was reduced with energy restriction plus any exercise or plus high-protein intake. Energy restriction alone was less effective and tended to decrease muscle mass. Muscle mass was only significantly increased with mixed exercise. All other interventions including exercise effectively preserved muscle mass. A BMI and/or WC decrease was achieved with all interventions except aerobic training/resistance training alone or resistance training plus high protein. Overall, the most effective strategy for nearly all outcomes was combining energy restriction with resistance training or mixed exercise and high protein. Health care professionals involved in the management of persons with obesity need to be aware that an energy-restricted diet alone may contribute to sarcopenic obesity in persons near retirement age. This network meta-analysis is registered at https://www.crd.york.ac.uk/prospero/ as CRD42021276465.
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Effect of Omega-3 Dosage on Cardiovascular Outcomes: An Updated Meta-Analysis and Meta-Regression of Interventional Trials.
Bernasconi, AA, Wiest, MM, Lavie, CJ, Milani, RV, Laukkanen, JA
Mayo Clinic proceedings. 2021;96(2):304-313
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There is mixed evidence to support the use of omega-3 fatty acids for the prevention and treatment of cardiovascular disease. Animal studies have shown promising results, but randomised control trials are inconsistent, possibly due to differing doses used, or differences in the subject’s omega-3 levels at the start of the trial. This meta-analysis of 40 studies with over 135,000 subjects aimed to determine whether omega-3 supplementation reduces heart disease risk and whether dosage has a role. The results showed that omega-3 supplementation reduced the risk of heart attacks, death from heart attacks and deaths due to heart disease, and the higher the dose, the greater the protection. The majority of studies were on individuals who had already had a heart attack or who had suffered from a related condition. It was concluded that supplementation with omega-3 is effective in preventing heart disease and heart attacks and the protective effect increases with dosage. This study could be used by healthcare professionals to prevent further heart disease and heart attacks in individuals who have already suffered from one of these conditions.
Abstract
OBJECTIVES To quantify the effect of eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids on cardiovascular disease (CVD) prevention and the effect of dosage. METHODS This study is designed as a random effects meta-analysis and meta-regression of randomized control trials with EPA/DHA supplementation. This is an update and expanded analysis of a previously published meta-analysis which covers all randomized control trials with EPA/DHA interventions and cardiovascular outcomes published before August 2019. The outcomes included are myocardial infarction (MI), coronary heart disease (CHD) events, CVD events (a composite of MI, angina, stroke, heart failure, peripheral arterial disease, sudden death, and non-scheduled cardiovascular surgical interventions), CHD mortality and fatal MI. The strength of evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation framework. RESULTS A total of 40 studies with a combined 135,267 participants were included. Supplementation was associated with reduced risk of MI (relative risk [RR], 0.87; 95% CI, 0.80 to 0.96), high certainty number needed to treat (NNT) of 272; CHD events (RR, 0.90; 95% CI, 0.84 to 0.97), high certainty NNT of 192; fatal MI (RR, 0.65; 95% CI, 0.46 to 0.91]), moderate certainty NNT = 128; and CHD mortality (RR, 0.91; 95% CI, 0.85 to 0.98), low certainty NNT = 431, but not CVD events (RR, 0.95; 95% CI, 0.90 to 1.00). The effect is dose dependent for CVD events and MI. CONCLUSION Cardiovascular disease remains the leading cause of death worldwide. Supplementation with EPA and DHA is an effective lifestyle strategy for CVD prevention, and the protective effect probably increases with dosage.
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Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies.
Jayedi, A, Soltani, S, Zargar, MS, Khan, TA, Shab-Bidar, S
BMJ (Clinical research ed.). 2020;370:m3324
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Body mass index (BMI) may not be an adequate tool to measure obesity, as it does not describe where fat is located on the body. Distribution of fat around the middle may be related to the risk of death and may be a more accurate measure of obesity. This systematic review of 1950 studies aimed to assess the association of fat around the middle with death. The results showed that every 10cm increase in waist circumference was related to an 11% increased risk of death by any cause. Women with a waist circumference greater than 80cm and 90cm in men had a higher risk of death by any cause. Fat carried around the middle increased the risk of death by any cause, however larger thigh and hip circumferences lowered the risk. This was regardless of BMI. It was concluded that measures of centrally located fat, alongside BMI, could be used to determine the risk of death. This study could be used by healthcare professionals to understand the importance of not solely relying on BMI and measuring where fat is distributed on the body may be an additional measure to determine risk of premature death.
Abstract
OBJECTIVE To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, with the risk of all cause mortality in the general population, and to clarify the shape of the dose-response relations. DESIGN Systematic review and meta-analysis. DATA SOURCES PubMed and Scopus from inception to July 2019, and the reference lists of all related articles and reviews. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Prospective cohort studies reporting the risk estimates of all cause mortality across at least three categories of indices of central fatness. Studies that reported continuous estimation of the associations were also included. DATA SYNTHESIS A random effects dose-response meta-analysis was conducted to assess linear trend estimations. A one stage linear mixed effects meta-analysis was used for estimating dose-response curves. RESULTS Of 98 745 studies screened, 1950 full texts were fully reviewed for eligibility. The final analyses consisted of 72 prospective cohort studies with 2 528 297 participants. The summary hazard ratios were as follows: waist circumference (10 cm, 3.94 inch increase): 1.11 (95% confidence interval 1.08 to 1.13, I2=88%, n=50); hip circumference (10 cm, 3.94 inch increase): 0.90 (0.81 to 0.99, I2=95%, n=9); thigh circumference (5 cm, 1.97 inch increase): 0.82 (0.75 to 0.89, I2=54%, n=3); waist-to-hip ratio (0.1 unit increase): 1.20 (1.15 to 1.25, I2=90%, n=31); waist-to-height ratio (0.1 unit increase): 1.24 (1.12 to 1.36, I2=94%, n=11); waist-to-thigh ratio (0.1 unit increase): 1.21 (1.03 to 1.39, I2=97%, n=2); body adiposity index (10% increase): 1.17 (1.00 to 1.33, I2=75%, n=4); and A body shape index (0.005 unit increase): 1.15 (1.10 to 1.20, I2=87%, n=9). Positive associations persisted after accounting for body mass index. A nearly J shaped association was found between waist circumference and waist-to-height ratio and the risk of all cause mortality in men and women. A positive monotonic association was observed for waist-to-hip ratio and A body shape index. The association was U shaped for body adiposity index. CONCLUSIONS Indices of central fatness including waist circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, independent of overall adiposity, were positively and significantly associated with a higher all cause mortality risk. Larger hip circumference and thigh circumference were associated with a lower risk. The results suggest that measures of central adiposity could be used with body mass index as a supplementary approach to determine the risk of premature death.