The purpose of this meta-analysis of randomized trials was to determine the effectiveness of aerobic plus resistance exercise interventions on body composition related to variables in overweight and obese youth. A computerized search was made of 7 databases. The analysis was restricted to randomized controlled trials that examined the effect of aerobic and resistance exercise on body composition (body weight, body mass index, fat mass, fat-free mass, and waist circumference) in obese youth. Two independent reviewers screened studies and extracted data. Weighted mean differences (WMD) and 95% confidence intervals were calculated. Nine studies were selected for meta-analysis as they fulfilled the inclusion criteria (n = 365). Aerobic plus resistance exercise interventions (8–24 weeks duration) produced a decrease in body weight (WMD=-3.31 kg), body mass index (WMD=-1.05 kg/m2), and fat mass (WMD=-1.93% and 5.05 kg), but changes in fatfree mass and waist circumference were not observed. These changes were accentuated through programs of at least 60 min of exercise per session, generating greater reductions in body weight (WMD=-4.11 kg), fat mass (WMD=-4.07%), and increase in fat-free mass (WMD = 2.45 kg). This meta-analysis provides insight into the effectiveness of short-term aerobic plus resistance exercise interventions for decreasing body weight, body mass index, and fat mass in pediatric obesity.
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Effects of Aerobic Plus Resistance Exercise on Body Composition Related Variables in Pediatric Obesity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Antonio García-Hermoso, Mairena Sánchez-López, and Vicente Martínez-Vizcaíno
Energy Expenditure in Playground Games in Primary School Children Measured by Accelerometer and Heart Rate Monitors
Jorge Cañete García-Prieto, Vicente Martinez-Vizcaino, Antonio García-Hermoso, Mairena Sánchez-López, Natalia Arias-Palencia, Juan Fernando Ortega Fonseca, and Ricardo Mora-Rodriguez
The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m-2 BMI and 37.6 ± 7.2 ml · kg-1 · min-1 VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games. Thirty-eight sessions were recorded in 32 different children. Each game was recorded at least in three occasions in other three children. The intersubject coefficient of variation within a game was 27% for IC, 37% for accelerometry and 13% for HR. The overall mean EE in the games was 4.2 ± 1.4 kcals · min-1 per game, totaling to 375 ± 122 kcals/per 90 min/session. The correlation coefficient between indirect calorimetry and accelerometer counts was 0.48 (p = .026) for endurance games and 0.21 (p = .574) for strength games. The correlation coefficient between indirect calorimetry and HR was 0.71 (p = .032) for endurance games and 0.48 (p = .026) for strength games. Our data indicate that both accelerometer and HR monitors are useful devices for estimating EE during endurance games, but only HR monitors estimates are accurate for endurance games.
Effects of Whole-Body Vibration on Functional Mobility, Balance, Gait Strength, and Quality of Life in Institutionalized Older People: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Francisco Alvarez-Barbosa, Jesús del Pozo-Cruz, Borja del Pozo-Cruz, Antonio García-Hermoso, and Rosa María Alfonso-Rosa
The aim of this study was to quantify the effect of whole-body vibration on balance, functional mobility, gait, functional performance, and quality of life in institutionalized older people. Eight databases were systematically reviewed, as recommended by the Cochrane Collaboration. This systematic review was designed to answer the acronym set by the participants, interventions, comparators, and outcomes (PICO)-model. Ten randomized controlled trials were included in the meta-analysis. The analysis of the mean differences (MDs) of the functional mobility assessed with Time Up and Go test was MD = −2.49 s (95% confidence interval, CI, [−4.37, −0.61]; I 2 = 68%). In 279 participants from five studies, the overall MD = 0.49 (95% CI [−0.13, 1.11]; I 2 = 23%) for gait, and MD = 0.96 (95% CI [−0.45, 2.37]; I 2 = 85%) for balance, which represents the total Tinetti score, MD = 1.59 (95% CI [−0.52, 3.70]; I 2 = 82%). In summary, whole-body vibration could have benefits on functional mobility in institutionalized older people.
Physical Activity and Sitting Time Patterns and Sociodemographic Correlates Among 155,790 South American Adults
André O. Werneck, Raphael H.O. Araujo, Cecilia Anza-Ramírez, Javier Brazo-Sayavera, Christian García-Witulski, Nicolas Aguilar-Farias, Se-Sergio Baldew, Kabir P. Sadarangani, Robinson Ramírez-Vélez, Antonio García-Hermoso, Gerson Ferrari, Felicia Cañete, Ramfis Nieto-Martinez, and Danilo R. Silva
Background: To estimate the prevalence of different physical activity (PA) domains and sitting time (ST), and to analyze the association with sociodemographic indicators. Methods: Data from the most recent nationally representative survey from each of the South American countries, comprising 155,790 adults (18–64 y), were used. Data on leisure-time, transport, and occupational PA (all 3 domains as nonzero), total PA (≥150 min/wk), and ST (≥8 h/d) were assessed by specific questionnaires in each survey. Gender, age group (18–34, 35–49, and 50–64 y), and education (quintiles) were used as sociodemographic factors. Random effect meta-analysis of the association between sociodemographic factors and PA and ST were conducted. Results: The prevalence of PA guidelines compliance and elevated ST in South America was 70.3% and 14.1%, respectively. Women were less likely to achieve the recommended levels of total and domain-based PA. Participants in the highest quintile of education were more likely for elevated ST (2.80, 2.08–3.77), lower occupational PA (0.65, 0.44–0.95), but higher leisure-time PA (3.13, 2.31–4.27), in comparison with lowest quintile. Older adults were less likely to participate in total and leisure-time PA. Conclusion: Our findings highlight the urge to tackle the inequalities in PA practice in South America, especially gender and education inequalities, for leisure-time PA.
Results from Chile’s 2018 Report Card on Physical Activity for Children and Youth
Nicolas Aguilar-Farias, Sebastian Miranda-Marquez, Kabir P. Sadarangani, Pia Martino-Fuentealba, Carlos Cristi-Montero, Jaime Carcamo-Oyarzun, Pedro Delgado-Floody, Damian Chandia-Poblete, Camila Mella-Garcia, Fernando Rodriguez-Rodriguez, Astrid Von Oetinger, Teresa Balboa-Castillo, Sebastian Peña, Cristobal Cuadrado, Paula Bedregal, Carlos Celis-Morales, Antonio García-Hermoso, and Andrea Cortinez-O’Ryan
2018 Chilean Physical Activity Report Card for Children and Adolescents: Full Report and International Comparisons
Nicolas Aguilar-Farias, Sebastian Miranda-Marquez, Pia Martino-Fuentealba, Kabir P. Sadarangani, Damian Chandia-Poblete, Camila Mella-Garcia, Jaime Carcamo-Oyarzun, Carlos Cristi-Montero, Fernando Rodriguez-Rodriguez, Pedro Delgado-Floody, Astrid Von Oetinger, Teresa Balboa-Castillo, Sebastian Peña, Cristobal Cuadrado, Paula Bedregal, Carlos Celis-Morales, Antonio Garcia-Hermoso, and Andrea Cortínez-O’Ryan
Background: The study summarizes the findings of the 2018 Chilean Report Card (RC) on Physical Activity (PA) for Children and Adolescents and compares the results with the first Chilean RC and with other countries from the Global Matrix 3.0. Methods: A Research Work Group using a standardized methodology from the Global Matrix 3.0 awarded grades for 13 PA-related indicators based on the percentage of compliance for defined benchmarks. Different public data sets, government reports, and papers informed the indicators. Results: The grades assigned were for (1) “behaviors that contribute to overall PA levels”: overall PA, D−; organized sport participation, D−; active play, INC; and active transportation, F; (2) “factors associated with cardiometabolic risk”: sedentary behavior, C−; overweight and obesity, F; fitness, D; sleep, INC; and (3) “factors that influence PA”: family and peers, F; school, D; inclusion, INC; community and built environment, B; government strategies and investments, B−. Conclusions: Chile’s grades remained low compared with the first RC. On the positive side, Chile is advancing in environmental and policy aspects. Our findings indicate that the implementation of new strategies should be developed through collaboration between different sectors to maximize effective investments for increasing PA and decreasing sedentary time among children and adolescents in Chile.