Association Between 24-h Movement Behavior, Physical Fitness, and Inhibitory Control in School Adolescents: A Complex Network Analysis

青少年24小时运动行为、体能和抑制控制能力之间的关联:一项复杂网络分析

阅读:2

Abstract

PURPOSE: To investigate the interrelationships between 24-h movement behaviors, health-related physical fitness, and inhibitory control performance in adolescents. METHODS: This cross-sectional study included 216 Brazilian adolescents (aged 16.7 ± 1.2 years) from a federal public school. Movement behaviors-moderate-to-vigorous physical activity (MVPA), smartphone screen time, sleep duration, and excessive daytime sleepiness-were assessed using the Global School-based Student Health Survey, digital well-being tools, and the Pediatric Daytime Sleepiness Scale. Aerobic capacity was measured using the PACER test, muscular strength by the FitnessGram push-up test, and body composition through body mass index. Inhibitory control was assessed using the Flanker task (E-Prime v3.0). Separate network analyses were performed for congruent and incongruent reaction times (RT). RESULTS: Physically active adolescents had faster RTs than their insufficiently active peers, with physical activity negatively associated with RT in both the congruent (-0.116) and incongruent (-0.125) networks. Aerobic capacity (e.g., expected influence: 0.879-0.902) and muscular strength (expected influence: 1.360-1.384) appeared as central components in both network structures. However, no associations were found between sleep duration, screen time, or excessive daytime sleepiness and inhibitory control. CONCLUSIONS: Adherence to MVPA guidelines was directly associated with improved inhibitory control performance among adolescents. Health-related physical fitness, particularly aerobic capacity and muscular strength, was indirectly associated with inhibitory control. Other movement behaviors were not associated with cognitive performance in this sample.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。