Yang Zongyu, Yin Long, Li Fang, Liu Pan, Tang Yi, Yang Bin
College of Physical Education, Hunan Normal University, Changsha, China.
School of Physical Education, Hunan First Normal University, Changsha, China.
J Exerc Sci Fit. 2025 Jul;23(3):213-221. doi: 10.1016/j.jesf.2025.05.001. Epub 2025 May 5.
This study seeks to explore the role of children's fundamental movement skills(FMS) within the framework of 24-h Movement Behaviors and executive function(EF)through the application of structural equation modeling (SEM).
The study employs a cross-sectional design. Apart from sleep data, which was collected via questionnaires, all other data were objectively measured using ActiGraph wGT3-BT accelerometers. EF was assessed using N-Back and Flanker tasks, while FMS was evaluated using the third edition of the test of gross motor development (TGMD-3). Both the isometric log-ratio (ILR) transformation and SEM were conducted using RStudio software.
Overall, 24-h Movement Behaviors predicted children's inhibitory control(IC) reaction time (P = 0.018). FMS significantly predicted both IC and working memory (WM) (P = 0.001). However, the direct impact of 24-h Movement Behaviors on FMS was not significant (P > 0.050). The interaction between FMS and overall, 24-h Movement Behaviors, along with their observed variables significantly promoted the positive development of children's EF (P < 0.050).
Within the 24-h Movement Behaviors framework, FMS did not exhibit its previously established mediating role. However, the interaction between FMS and 24-h Movement Behaviors positively promoted the development of children's EF. This suggests that FMS plays an important regulatory role in the relationship between 24-h Movement Behaviors and EF, which is significant for the overall development of children.
本研究旨在通过应用结构方程模型(SEM),探索儿童基本运动技能(FMS)在24小时运动行为和执行功能(EF)框架中的作用。
本研究采用横断面设计。除通过问卷收集的睡眠数据外,所有其他数据均使用ActiGraph wGT3 - BT加速度计进行客观测量。使用N - 回溯任务和侧翼任务评估EF,而使用大肌肉动作发展测试第三版(TGMD - 3)评估FMS。等距对数比(ILR)变换和SEM均使用RStudio软件进行。
总体而言,24小时运动行为可预测儿童的抑制控制(IC)反应时间(P = 0.018)。FMS显著预测了IC和工作记忆(WM)(P = 0.001)。然而,24小时运动行为对FMS的直接影响不显著(P > 0.050)。FMS与总体24小时运动行为及其观测变量之间的相互作用显著促进了儿童EF的积极发展(P < 0.050)。
在24小时运动行为框架内,FMS未表现出其先前确立的中介作用。然而,FMS与24小时运动行为之间的相互作用积极促进了儿童EF的发展。这表明FMS在24小时运动行为与EF之间的关系中起着重要的调节作用,这对儿童的全面发展具有重要意义。