Prevalence of physical activity through the practice of sports among adolescents from Portuguese speaking countries

This study evaluated the prevalence of physical activity through the practice of sports in adolescents from schools in two Brazilian cities and a Portuguese school, and its association with independent variables, such as gender and age. A cross-sectional study was conducted of schoolchildren from two cities in Brazil and one in Portugal. The total study sample was 3694 subjects (1622 males and 1872 females). Physical activity levels were assessed using Baecke's questionnaire. Body weight was measured on electronic scales and stature was measured with a portable wooden stadiometer. Numerical variables were expressed as mean, categorical variables were expressed as percentages and the chi-square test analyzed associations. The prevalence of no sport was high (39.7%), being higher in the Portuguese school than in the Brazilian schools (p < 0.001). Irrespective of being an adolescent in a Brazilian or Portuguese school, boys showed higher engagement in sports practice than girls (p < 0.001). In both, differences were identified between adolescents aged 13 to 15 (P = 0.001) and 16 to 17 (P = 0.001). The prevalence of physical inactivity among schoolchildren from two cities in Brazil and a school in Portugal was high, with the girls practicing less sport than the boys and with this imbalance likely to be higher in adolescents

Modelling developmental changes in repeated-sprint ability by chronological and skeletal ages in young soccer players

This study investigated the influence of chronological (CA) and skeletal ages (SA), anthropometry, aerobic endurance and lower limb explosive strength on developmental changes in repeated-sprint ability (RSA) in soccer players aged 11-17 years. Participants were annually followed over 5 years, resulting in 366 measurements. Multilevel regression modelling analysed longitudinal data aligned by CA and SA (Model 1 and 2, respectively). After diagnosing for multicollinearity, it was possible to predict RSA with 2-level hierarchical models [Model 1 (CA as Level 2 predictor): Log-Likelihood=1,515.29, p<0.01; Model 2 (SA as Level 2 predictor): Log-Likelihood=1,513.89, p<0.01]. Estimating sum of sprints for young soccer players are given by equations: sum of sprints=84.47 - 1.82 × CA + 0.03 × CA2 - 0.05 × aerobic endurance - 0.10 × lower limb explosive strength -0.09 × fat-free mass + 0.13 × fat mass (Model 1); 73.58 - 0.43 × SA - 0.05 × aerobic endurance - 0.10 × lower limb explosive strength - 0.08 × fat-free mass - 0.45 × training experience + 0.13 × fat mass (Model 2). The models produced performance curves that may be used to estimate individual performance across adolescent years. Finally, the validity of each model was confirmed based on corresponding measurements taken on an independent cross-sectional sampl