Department of Physical Education, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Department of Sports Science, Postgraduate Program in Physical Education, Federal University of Triangulo Mineiro - UFTM, Uberaba, Minas Gerais, Brazil.
PLoS One. 2024 Aug 23;19(8):e0304737. doi: 10.1371/journal.pone.0304737. eCollection 2024.
The aim of this study was to investigate the association among individual, family, school environment and neighborhood predictors with the different levels of physical activity (PA) [light (LPA) and moderate to vigorous PA (MVPA)] in Brazilian adolescents. A cross-sectional study was carried out with 309 adolescents with a mean age of 15.37 (± 0.57) years. PA and sleep time were assessed by accelerometry. Individual predictors were determined by anthropometry and questionnaires, while family, school environment and neighborhood predictors were assessed using questionnaires. Robust Regression analysis was performed considering a significance level of 5%. Individual and environmental variables were able to respectively predict 64% and 13.6% of adolescents' participation in LPA. Work (βp = 0.2322), gender (βp = -0.1318), commuting to school (βp = -0.1501), sleep (βp = -0.1260) and paved roads (βp = -0.1360) were associated with LPA. It was also observed that individual (59.4%) and environmental (27.4%) variables were able to predict adolescents' participation in MVPA. Work (βp = 0.1656), commuting to school (βp = 0.1242) and crime (βp = 0.1376, and gender (βp = -0.3041) and paved roads (βp = -0.1357 were associated with MVPA. Such results indicated that boys, those who work and those who live in unpaved neighborhoods presented greater time in LPA and MVPA; those who live in neighborhoods with higher crime had higher time spent in MVPA; and those who passively commute to school had more time in LPA. There was an average reduction of 5.0 minutes in LPA time for each additional hour of sleep. Finally, students who actively commute to school had more time in MVPA. Individual factors and those related to the neighborhood environment can play an important role in understanding the variables which can influence the different levels of PA in adolescents.
本研究旨在探讨个体、家庭、学校环境和邻里环境因素与巴西青少年不同水平体力活动（PA）[低强度体力活动（LPA）和中高强度体力活动（MVPA）]之间的关系。这项横断面研究共纳入 309 名年龄在 15.37（±0.57）岁的青少年。使用加速度计评估 PA 和睡眠时间。个体预测因子通过人体测量和问卷调查确定，而家庭、学校环境和邻里预测因子则通过问卷调查评估。考虑到 5%的显著性水平，进行了稳健回归分析。个体和环境变量分别能够预测青少年参与 LPA 的 64%和 13.6%。工作（βp=0.2322）、性别（βp=-0.1318）、上下学交通方式（βp=-0.1501）、睡眠（βp=-0.1260）和铺设道路（βp=-0.1360）与 LPA 相关。还观察到个体（59.4%）和环境（27.4%）变量能够预测青少年参与 MVPA。工作（βp=0.1656）、上下学交通方式（βp=0.1242）和犯罪（βp=0.1376）以及性别（βp=-0.3041）和铺设道路（βp=-0.1357）与 MVPA 相关。这些结果表明，男孩、工作的青少年和居住在未铺设道路的社区的青少年有更多的 LPA 和 MVPA 时间；居住在犯罪率较高的社区的青少年，其 MVPA 时间更长；而被动上下学的青少年则有更多的 LPA 时间。睡眠每增加 1 小时，LPA 时间平均减少 5.0 分钟。最后，主动上下学的学生有更多的 MVPA 时间。个体因素和与邻里环境相关的因素在理解可能影响青少年不同水平 PA 的变量方面可以发挥重要作用。
