Weight Loss after 12 Weeks of Exercise and/or Nutritional Guidance Is Not Obligatory for Induced Changes in Local Fat/Lean Mass Indexes in Adults with Excess of Adiposity

Physiological characteristics predictive of passing military physical employment standard tasks for ground close combat occupations in men and women

Challenges for some women meeting the physical employment standards (PES) for ground close combat (GCC) roles stem from physical fitness and anthropometric characteristics. The purpose of this study was to identify the modifiable and nonmodifiable characteristics predictive of passing GCC-based PES tasks and determine the modifiable characteristics suitable to overcome nonmodifiable limitations. 107 adults (46 women) underwent multiday testing assessing regional and total lean mass (LM), percent body fat (BF%), aerobic capacity (V̇O2peak), strength, power, and PES performance. Predictors with p-value <0.200 were included in stepwise logistic regression analysis or binary logistic regression when outcomes among sexes were insufficient. Relative and absolute arm LM (OR: 4.617-8.522, p < 0.05), leg LM (OR: 2.463, p < 0.05), and upper body power (OR: 2.061, p < 0.05) predicted medicine ball chest throw success. Relative and absolute arm LM (OR: 3.734-11.694, p < 0.05), absolute trunk LM (OR: 2.576, p < 0.05), and leg LM (OR: 2.088, p < 0.05) predicted casualty drag success. Upper body power (OR: 3.910, p < 0.05), absolute trunk LM (OR: 2.387, p < 0.05), leg LM (OR: 2.290, p < 0.05), and total LM (OR: 1.830, p < 0.05) predicted maximum single lift success. Relative and absolute arm LM (OR: 3.488-7.377, p < 0.05), leg LM (OR: 1.965, p < 0.05), and upper body power (OR: 1.957, p < 0.05) predicted water can carry success. %BF (OR: 0.814, p = 0.007), V̇O2peak (OR: 1.160, p = 0.031), and lower body strength (OR: 1.059, p < 0.001) predicted repeated lift and carry success. V̇O2peak (OR: 1.540, p < 0.001) predicted 2-km ruck march success. Modifiable characteristics were the strongest predictors for GCC-based PES task success to warrant their improvement for enhancing PES performance for women.

Responsiveness of functional performance and muscle strength, power, and size to resistance training: A systematic review

There is a recent and growing interest in assessing differential responders to resistance training (RT) for diverse outcomes. Thus, the individual ability to respond to an intervention for a specific measurement, called responsiveness, remains to be better understood. Thus, the current study aimed to summarize the available information about the effects of RT on functional performance and muscle strength, power, and size in healthy adults, through the prevalence rate in different responsiveness classifications models. A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and was registered at the International Prospective Register of Systematic Reviews (PROSPERO, CRD42021265378). PubMed/MEDLINE, Scopus, and Embase databases were systematically searched in October 2023. A total of 13 studies were included, totaling 921 subjects. Only two studies presented a low risk of bias. Regarding the effectiveness of RT, the prevalence rate for non-responders ranged from 0% to 44% for muscle strength, from 0% to 84% for muscle size, and from 0% to 42% for functional performance, while for muscle power, the only study found showed a responsiveness rate of 37%. In conclusion, a wide range of differential responders is described for all variables investigated. However, the evidence summarized in this systematic review suggested some caution while interpreting the findings, since the body of evidence found seems to be incipient, and widely heterogeneous in methodological and statistical aspects.

Investigaciones realizadas en Colombia relacionadas con actividad física y obesidad 2010-2020

Introducción: La obesidad es un problema de salud pública mundial. La actividad física es una herramienta importante de promoción y prevención de este problema. Se desconoce las investigaciones realizadas en Colombia al respecto, lo cual es necesario para implementar políticas públicas eficientes. Objetivo: analizar las investigaciones colombianas encontradas en bases de datos científicas sobre la actividad física y obesidad. Metodología: revisión sistemática de artículos de investigación realizados en Colombia del año 2010 al 2020, en las bases de datos PubMed y SciELO.  Resultados: de 87 artículos encontrados, 23 cumplieron los criterios de inclusión. El 91,3 % publicados en revistas indexadas internacionalmente. 69,5% estudios observacionales, 17,4% ensayos clínicos y 8,7% revisiones sistemáticas. Conclusiones: poca producción en Colombia. La mayoría en revistas indexadas, tuvieron diseño observacional y encontraron asociación entre poca actividad física con sobrepeso/obesidad. Alta prevalencia de sobrepeso/obesidad. Pocos autores fueron profesionales en el área del deporte y el entrenamiento. Introduction: Obesity is a global public health problem. Physical activity and exercise are important tools for promoting and preventing. The research carried out in Colombia in this regard is unknown, which is necessary to implement efficient public policies. Objective: to analyze Colombian research found in scientific databases on physical activity or exercise in overweight and obesity. Methodology: literary review of research articles carried out in Colombia from 2010 to 2020, in the PubMed and SciELO databases. Results: Of 87 articles found, 23 met the inclusion criteria. 91.3% published in internationally indexed journals. 69.5% observational studies, 17.4% clinical trials and 8.7% systematic reviews. Conclusions: little production in Colombia. Most of the indexed journals had an observational design and found an association between little physical activity and overweight/obesity. High prevalence of overweight/obesity. Few authors were professionals in the area of training.

Which exercise interventions are more helpful in treating primary obesity in young adults? A systematic review and Bayesian network meta-analysis

INTRODUCTION

Network meta-analysis was used to evaluate the effectiveness of different exercise interventions in the treatment of obesity in young people and recommend the most suitable exercise method.

MATERIAL AND METHODS

We searched five electronic databases for articles on obesity treatment in the youth population from inception to April 2022. The two researchers independently retrieved and screened the articles, carried out a quality assessment and data extraction, and carried out a network meta-analysis in the Bayesian framework in Stata software.

RESULTS

A total of 32 original studies were included in the study, all randomized controlled trials (RCTs). High-intensity aerobic exercise may be the best way to reduce the weight of obese people; high-intensity aerobic training combined with resistance training may be the best way to reduce BMI and FAT%; moderate-intensity aerobic training combined with resistance training may be the best way to reduce the waistline; high-intensity aerobic exercise may be the best way to boost VO2max.

CONCLUSIONS

Exercise interventions such as high-intensity aerobic training combined with resistance training can be considered and promoted as a non-drug treatment for primary obesity in young adults.

Effects of Tele-Exercise on Body Weight, Body Mass Index, and Fat Mass of Obese Employees

Purpose: Obesity is a growing health problem in Indonesia caused by physical inactivity. Meanwhile, employees are a group that is susceptible to obesity as they often have limited time while working sedentarily in front of a desk or computer, especially during the COVID-19 pandemic. This causes risks of many cardiovascular diseases, obesity and can indirectly cause death. Tele-exercise, a live online video exercise, may be the solution to this problem. Therefore, the purpose of this study is to analyse the effects of tele-exercise on body weight, BMI, and fat mass percentage as indicators of obesity. Methods: The research was conducted from July 2020 to January 2021 according to the policy regarding the pandemic. Also, it used a pre-post quasy experimental design. A total of 39 subjects were given tele-exercise involving 2 strength training and 1 cardio training per week for 3 months. Findings: Subsequently, the results showed that exercise had a significant effect (p<0.05) on BMI and body weight, while fat mass percentage only decreased significantly (p<0.05) from the second to third assessment. Originality: To our knowledge, this is the first study analysing the effects of tele-exercise on obese employee’s body weight, body mass index and fat mass. Conclusion: This proves that tele-Exercise is an effective therapy for obesity that does not require a large space, and has beneficial online aspects, especially during the pandemic. The timing of measurement and hydration status should be considered to assess the body composition.

Impact of a Mobile Telerehabilitation Solution on Metabolic Health Outcomes and Rehabilitation Adherence in Patients With Obesity: Randomized Controlled Trial

Background

Obesity is a major public health issue. Combining exercise training, nutrition, and therapeutic education in metabolic rehabilitation (MR) is recommended for obesity management. However, evidence from randomized controlled studies is lacking. In addition, MR is associated with poor patient adherence. Mobile health devices improve access to MR components.

Objective

The aim of this study is to compare the changes in body composition, anthropometric parameters, exercise capacity, and quality of life (QOL) within 12 weeks of patients in the telerehabilitation (TR) program to those of usual care patients with obesity.

Methods

This was a parallel-design randomized controlled study. In total, 50 patients with obesity (BMI>30 kg/m²) were included in a TR group (TRG) or a usual care group (UCG) for 12 weeks. Patients underwent biometric impedance analyses, metabolic exercise tests, actimetry, and QOL and satisfaction questionnaires. The primary outcome was the change in fat mass at 12 weeks from baseline. Secondary outcomes were changes in body weight, metabolic parameters, exercise capacity, QOL, patients’ adhesion, and satisfaction.

Results

A total of 49 patients completed the study. No significant group × time interaction was found for fat mass (TRG: mean 1.7 kg, SD 2.6 kg; UCG: mean 1.2 kg, SD 2.4 kg; P=.48). Compared with the UCG, TRG patients tended to significantly improve their waist to hip ratios (TRG: −0.01 kg, SD 0.04; UCG: +0.01 kg, SD 0.06; P=.07) and improved QOL physical impact (TRG: +21.8, SD 43.6; UCG: −1.2, SD 15.4; P=.005). Significant time effects were observed for body composition, 6-minute walk test distance, exercise metabolism, sedentary time, and QOL. Adherence (95%) and satisfaction in the TRG were good.

Conclusions

In adults with obesity, the TR program was not superior to usual care for improving body composition. However, TR was able to deliver full multidisciplinary rehabilitation to patients with obesity and improve some health outcomes. Given the patients’ adherence and satisfaction, pragmatic programs should consider mobile health devices to improve access to MR. Further studies are warranted to further establish the benefits that TR has over usual care.

Trial Registration

ClinicalTrials.gov NCT03396666; http://clinicaltrials.gov/ct2/show/NCT03396666

A Systematic Review Examining the Approaches Used to Estimate Interindividual Differences in Trainability and Classify Individual Responses to Exercise Training

Background: Many reports describe statistical approaches for estimating interindividual differences in trainability and classifying individuals as "responders" or "non-responders." The extent to which studies in the exercise training literature have adopted these statistical approaches remains unclear. Objectives: This systematic review primarily sought to determine the extent to which studies in the exercise training literature have adopted sound statistical approaches for examining individual responses to exercise training. We also (1) investigated the existence of interindividual differences in trainability, and (2) tested the hypothesis that less conservative thresholds inflate response rates compared with thresholds that consider error and a smallest worthwhile change (SWC)/minimum clinically important difference (MCID). Methods: We searched six databases: AMED, CINAHL, EMBASE, Medline, PubMed, and SportDiscus. Our search spanned the aerobic, resistance, and clinical or rehabilitation training literature. Studies were included if they used human participants, employed standardized and supervised exercise training, and either: (1) stated that their exercise training intervention resulted in heterogenous responses, (2) statistically estimated interindividual differences in trainability, and/or (3) classified individual responses. We calculated effect sizes (ES_IR) to examine the presence of interindividual differences in trainability. We also compared response rates (n = 614) across classification approaches that considered neither, one of, or both errors and an SWC or MCID. We then sorted response rates from studies that also reported mean changes and response thresholds (n = 435 response rates) into four quartiles to confirm our ancillary hypothesis that larger mean changes produce larger response rates. Results: Our search revealed 3,404 studies, and 149 were included in our systematic review. Few studies (n = 9) statistically estimated interindividual differences in trainability. The results from these few studies present a mixture of evidence for the presence of interindividual differences in trainability because several ES_IR values lay above, below, or crossed zero. Zero-based thresholds and larger mean changes significantly (both p < 0.01) inflated response rates. Conclusion: Our findings provide evidence demonstrating why future studies should statistically estimate interindividual differences in trainability and consider error and an SWC or MCID when classifying individual responses to exercise training. Systematic Review Registration: [website], identifier [registration number].