The Effect of Resistance Training in Healthy Adults on Body Fat Percentage, Fat Mass and Visceral Fat: A Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Michael A. Wewege ◽  
Imtiaz Desai ◽  
Cameron Honey ◽  
Brandon Coorie ◽  
Matthew D. Jones ◽  
...  
Keyword(s):  
Systematic Review ◽  
Resistance Training ◽  
Body Fat ◽  
Fat Mass ◽  
Visceral Fat ◽  
Meta Analysis ◽  
Healthy Adults ◽  
Body Fat Percentage ◽  
Fat Percentage

scholarly journals OXYGEN UPTAKE AND INDICATORS OF OBESITY: META-ANALYSIS INCLUDING 17,604 ADOLESCENTS

2021 ◽  
Vol 27 (6) ◽  
pp. 621-626
Author(s):  
Eliane Cristina de Andrade Gonçalves ◽  
Ricardo Fernandes ◽  
Carlos Alencar Souza Alves Junior ◽  
Diego Augusto Santos Silva ◽  
Erasmo Benício Santos de Moraes Trindade
Keyword(s):  
Systematic Review ◽  
Body Fat ◽  
Aerobic Fitness ◽  
Meta Analysis ◽  
Negative Association ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Body Adiposity ◽  
Run Test ◽  
Shuttle Run

ABSTRACT Introduction: Low aerobic fitness levels are associated with excess body adiposity in adolescents. However, studies that have analyzed this association in adolescents have used different methods and measures to evaluate aerobic fitness, making it difficult to compare the results. Objective: To conduct a systematic review with meta-analysis of studies that have analyzed the association between aerobic fitness and anthropometric body adiposity indicators in adolescents aged 10-19 years. Methods: A systematic search was performed in May 2016, updated in March 2017, in the following electronic databases: LILACS (BIREME), Embase, MEDLINE (PubMed), Web of Science (Web of Knowledge), Scopus, and SPORTDiscus. Results: Twenty-three studies were selected. The meta-analysis indicated that as the aerobic fitness levels increased, the BMI, waist circumference and body fat percentage values of the adolescents decreased. Conclusion: There is a negative association between aerobic fitness (evaluated by measuring maximum oxygen uptake in the 20-meter Shuttle Run test) and the body fat percentage, BMI and waist circumference of adolescents and a negative association between aerobic fitness (assessed by measuring the number of laps in the 20-meter Shuttle Run test) and body fat percentage. However, caution is required in the interpretation of data due to the heterogeneity of the studies analyzed. Level of Evidence II; Systematic review of studies with level II of evidence.

The effectiveness of technology-based distance weight loss interventions on body composition in health care: a systematic review, meta-analysis and meta-regression (Preprint)

2020 ◽  
Author(s):  
Heli Lahtio
Keyword(s):  
Systematic Review ◽  
Weight Loss ◽  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Meta Analysis ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Meta Regression ◽  
Weight Loss Interventions

BACKGROUND Overweight and obesity are major problems worldwide and they lead to an increased risk for several diseases. The use of technology in the treatment of obesity is promising, but there is considerable uncertainty regarding its efficacy in the current literature. OBJECTIVE The aim of this systematic review was to study the effectiveness of technology-based distance weight loss interventions in health care on body composition in comparison to control groups that do not use technology. The aim of the meta-regression was to evaluate the factors associated with the changes in body composition outcomes in a comprehensive PICOS -framework. METHODS Studies were searched from eight databases. The inclusion criteria were developed based on the PICOS-framework (population: 18-65 years; intervention: technology-based distance weight loss interventions; comparison: control groups without technology; outcome: BMI, waist circumference or body fat percentage; study design: randomized controlled trial). Meta-analysis and meta-regression were performed. RESULTS The meta-analysis included 30 studies. The quality of the studies was moderate (7/13). A statistically significant difference was observed in BMI (MD 0.83; 95% CI 0.51 to 1.15; P < .0001), waist circumference (MD 2.45; 95% CI 1.83 to 3.07; P < .0001), and body fat percentage (MD 1.07; 95% CI 0.74 to 1.41; P < .0001) in favor of the weight loss groups using technology. According to the findings of the meta-regression, interventions with personal feedback and higher quality of the studies may have been associated with a reduction in waist circumference and lower body fat percentage. CONCLUSIONS Technology-based distance weight loss interventions significantly reduced BMI, waist circumference, and body fat percentage. Future studies should focus on the comparability of the intervention content but also on the relations between the type of technology, behavioral change models, and biopsychosocial factors. CLINICALTRIAL This systematic review is registered in Prospero (CRD42016035831).

scholarly journals Is interval training the magic bullet for fat loss? A systematic review and meta-analysis comparing moderate-intensity continuous training with high-intensity interval training (HIIT)

2019 ◽  
Vol 53 (10) ◽  
pp. 655-664 ◽  
Author(s):  
Ricardo Borges Viana ◽  
João Pedro Araújo Naves ◽  
Victor Silveira Coswig ◽  
Claudio Andre Barbosa de Lira ◽  
James Steele ◽  
...  
Keyword(s):  
Body Fat ◽  
Fat Mass ◽  
Meta Analysis ◽  
Interval Training ◽  
Moderate Intensity ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Continuous Training ◽  
Total Body Fat ◽  
Total Body

ObjectivesTo compare the effects of interval training and moderate-intensity continuous training (MOD) on body adiposity in humans, and to perform subgroup analyses that consider the type and duration of interval training in different groups.DesignSystematic review and meta-analysis.Data sourcesEnglish-language, Spanish-language and Portuguese-language searches of the electronic databases PubMed and Scopus were conducted from inception to 11 December 2017.Eligibility criteria for selecting studiesStudies that met the following criteria were included: (1) original articles, (2) human trials, (3) minimum exercise training duration of 4 weeks, and (4) directly or indirectly compared interval training with MOD as the primary or secondary aim.ResultsOf the 786 studies found, 41 and 36 were included in the qualitative analysis and meta-analysis, respectively. Within-group analyses showed significant reductions in total body fat percentage (%) (interval training: −1.50 [95% CI −2.14 to −0.86, p<0.00001] and MOD: −1.44 [95% CI −2.00 to −0.89, p<0.00001]) and in total absolute fat mass (kg) (interval training: −1.58 [95% CI −2.74 to −0.43, p=0.007] and MOD: −1.13 [95% CI −2.18 to −0.08, p=0.04]), with no significant differences between interval training and MOD for total body fat percentage reduction (−0.23 [95% CI −1.43 to 0.97], p=0.705). However, there was a significant difference between the groups in total absolute fat mass (kg) reduction (−2.28 [95% CI −4.00 to −0.56], p=0.0094). Subgroup analyses comparing sprint interval training (SIT) with MOD protocols favour SIT for loss of total absolute fat mass (kg) (−3.22 [95% CI −5.71 to −0.73], p=0.01). Supervised training, walking/running/jogging, age (<30 years), study quality and intervention duration (<12 weeks) favourably influence the decreases in total absolute fat mass (kg) observed from interval training programmes; however, no significant effect was found on total body fat percentage (%). No effect of sex or body mass index was observed on total absolute fat mass (kg) or total body fat percentage (%).ConclusionInterval training and MOD both reduce body fat percentage (%). Interval training provided 28.5% greater reductions in total absolute fat mass (kg) than MOD.Trial registration numberCRD42018089427.

Latest perspectives of resistance training (RT) on muscle and fat in the physical medicine

2021 ◽  
Vol 6 (3) ◽  
pp. 74-75
Author(s):  
Hiroshi Bando
Keyword(s):  
Systematic Review ◽  
Resistance Training ◽  
Muscle Strength ◽  
Endurance Training ◽  
Body Fat ◽  
Fat Mass ◽  
Sports Medicine ◽  
Clinical Effect ◽  
Meta Analysis ◽  
Physical Medicine

For rehabilitation and sports medicine, resistance training (RT) has been known to increase muscle strength. Several latest reports showed the changes in muscle and fat tissues by RT and endurance training (ET). Systematic review and meta-analysis from 58 papers included about 3000 subjects, 45-60min session, 2.7 times a week and 5 months. As a result, RT group showed 1.46% reduction in body fat, which is equivalent to 0.55kg of fat mass. When one emphasizes the weight result by the scale, clinical effect of RT cannot be evaluated correctly, because RT brings increased muscle mass and decreased fat mass.

Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

2021 ◽  
pp. 1-27
Author(s):  
Masoome Piri Damaghi ◽  
Atieh Mirzababaei ◽  
Sajjad Moradi ◽  
Elnaz Daneshzad ◽  
Atefeh Tavakoli ◽  
...  
Keyword(s):  
Body Composition ◽  
Whey Protein ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Soy Protein ◽  
Protein Supplementation ◽  
Body Fat Percentage ◽  
Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

Characterization and prevalence of obesity among normal weight college students

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Kara C. Anderson ◽  
Katie R. Hirsch ◽  
Austin M. Peterjohn ◽  
Malia N.M. Blue ◽  
Alexis A. Pihoker ◽  
...  
Keyword(s):  
College Students ◽  
Body Fat ◽  
Fat Mass ◽  
Vigorous Physical Activity ◽  
Normal Weight ◽  
High Density ◽  
High Density Lipoproteins ◽  
Cardiometabolic Health ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractNormal weight obesity (NWO) describes individuals who have a normal weight body mass index (BMI), but have an unhealthy amount of body fat. Based on the life-long habits that develop during college, exploring NWO among a college-aged population may be essential in identifying and preventing obesity that develops in early adulthood. This study aimed to characterize NWO among young adults with normal weight BMI. 94 college students (Mean ± SD: Age: 19.6 ± 1.5 yrs; BMI: 21.9 ± 1.8 kg/m2) enrolled during the Fall semester (Aug-Oct) were assessed for body composition by dual energy X-ray absorptiometry to determine body fat percentage, fat mass, lean mass and trunk fat; lifestyle habits were characterized from validated questionnaires. Mean arterial pressure and metabolic biomarkers [total cholesterol, high density lipoproteins, non-high density lipoproteins, and glucose] were evaluated for cardiometabolic health. NWO was defined using data from the National Health and Nutrition Examination Survey (NHANES) for body fat percentage. Data was analyzed by group (NWO vs NWL) and sex. with independent t-tests to investigate continuous data, and chi-square test of independence for categorical data. Rates of NWO for the total sample were 13.8%. Males (n=30) had a higher rate of NWO (26.7%) compared to females (n=64; 7.8%). NWO individuals had higher fat mass (p=0.024), trunk fat (p<0.001), and larger waist to hip ratio (p<0.001) than normal weight lean. NWO also engaged in less vigorous physical activity (p=0.043). The occurrence of NWO among otherwise healthy college students is evident. Identification of these individuals may be an effective component for obesity prevention and treatment. Determining feasible methods to measure body fat in this population is essential, as BMI may mask obesity in a young adult population.

Comparison of CrossFit Barbara and classic resistance trainings for the protection of strength performance during off-season in kickboxers

2020 ◽  
pp. 1-8
Author(s):  
Cebrail Gençoğlu ◽  
İlhan Şen
Keyword(s):  
Resistance Training ◽  
Body Mass ◽  
Body Fat ◽  
Bench Press ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Strength Performance ◽  
Significant Difference ◽  
Before And After ◽  
Push Up

BACKGROUND: The inability of athletes to train or the decrease in the intensity and frequency of training may cause athletes to lose performance. Particularly in view of the current COVID-19 pandemic, maintaining strength outside the normal framework provides an advantage to athletes for the next competitions. OBJECTIVE: To compare the CrossFit Barbara which can be applied easily at home during the off-season or some situations such as the epidemic limitation to classic resistance training methods used to maintain the strength performance of national kickboxers. METHODS: Forty-three national kickboxers, CrossFit (CF, n= 22), and resistance training (RT, n= 21), participated in this study. While CF performed 20 pull-ups, 30 push-ups, 40 sit-ups, and 50 squat exercises, RT performed bench press, lat pull down, leg press, biceps curl, and triceps extension exercises twice per week for six weeks. Before and after the six weeks, the following variables were measured; body mass (BM) and body fat percentage (FP), VO2max, bench press (BP), squat (SQ), leg strength (LS), hand grip strength (HGS), pull-up, push-up and counter movement jump (CMJ). RESULTS: BP (p< 0.001, F= 41.125, ηp2= 0.501), SQ (p< 0.001, F= 26.604, ηp2= 0.394), LS (p< 0.001, F= 15.234, ηp2= 0.271), push-up (p< 0.001, F= 31.978, ηp2= 0.438) and pull-up (p< 0.001, F= 24.410, ηp2= 0.373) values changed significantly in group-time interaction between CF and RT groups, while there was no significant difference for the BM (p= 0.198, F= 1.715, ηp2= 0.040), Fat (p= 0.265, F= 1.279, ηp2= 0.030), HGS (p= 0.665, F= 0.190, ηp2= 0.005, CMJ (p= 0.054, F= 3.946, ηp2= 0.088) and VO2max (p=0.747, F= 0.106, ηp2= 0.003). Furthermore, according to the before and after study values, BP, SQ, LS, and CMJ decreased significantly (p< 0.05) while BM, FP, HGS, VO2max, pull-up and push-up variables did not in the CF (p> 0.05). In the RT, the pull-up and push-up variables decreased significantly (p< 0.05) while there was no significant difference for BP, SQ, LS, HGS, VO2max, body mass, body fat percentage and CMJ (p> 0.05). CONCLUSION: CF Barbara workout was more effective in maintaining strength endurance performances, and RT in maintaining maximum strength performances. According to the individual performance needs of athletes, reasonable training method can be used to prevent performance decrement in the strength domain.

The Influence of Age, Sex and Body Mass Index on the Effectiveness of Brisk Walking for Obesity Management in Adults: A Systematic Review and Meta-Analysis

2017 ◽  
Vol 14 (5) ◽  
pp. 389-407 ◽  
Author(s):  
Leon Mabire ◽  
Ramakrishnan Mani ◽  
Lizhou Liu ◽  
Hilda Mulligan ◽  
David Baxter
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Waist Circumference ◽  
Body Fat ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Body Fat Percentage ◽  
Brisk Walking ◽  
Obesity Management ◽  
Fat Percentage

Background:Brisk walking is the most popular activity for obesity management for adults. We aimed to identify whether participant age, sex and body mass index (BMI) influenced the effectiveness of brisk walking.Methods:A search of 9 databases was conducted for randomized controlled trials (RCTs). Two investigators selected RCTs reporting on change in body weight, BMI, waist circumference, fat mass, fat-free mass, and body fat percentage following a brisk walking intervention in obese adults.Results:Of the 5072 studies screened, 22 met the eligibility criteria. The pooled mean differences were: weight loss, –2.13 kg; BMI, –0.96 kg/m2; waist circumference, –2.83 cm; fat mass, –2.59 kg; fat-free mass, 0.29 kg; and body fat percentage, –1.38%. Meta-regression of baseline BMI showed no effect on changes.Conclusions:Brisk walking can create a clinically significant reduction in body weight, BMI, waist circumference, and fat mass for obese men and women aged under 50 years. Obese women aged over 50 years can achieve modest losses, but gains in fat-free mass reduce overall change in body weight. Further research is required for men aged over 50 years and on the influence of BMI for all ages and sexes.

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