Kaioglou Vasiliki, Dania Aspasia, Kambas Antonios, Venetsanou Fotini
National & Kapodistrian University of Athens.
Democritus University of Thrace.
Res Q Exerc Sport. 2023 Jun;94(2):361-367. doi: 10.1080/02701367.2021.1991559. Epub 2022 Mar 30.
Supporting children's physical activity (PA) behavior is imperative in order to safeguard their health. In an attempt to gain a deeper understanding about children's PA behavior, the aim of this study was to investigate the associations among motor competence (MC), cardiorespiratory fitness (CRF) and ambulatory PA during middle and late childhood. A cross-sectional design was adopted and a total of 576 8-12-year-old children (M = 10.2 years, SD = 1.3) were examined. MC was assessed by the Canadian Agility and Movement Skill Assessment; daily PA (steps/day) was obtained by pedometers; CRF was measured by the Progressive Aerobic Cardiovascular Endurance Run. The associations among the key study variables were investigated by correlation and mediation analyses. Using a bootstrap method, two mediation models were tested: (a) MC predicting PA through CRF, (b) PA predicting MC through CRF. MC, CRF, and PA present significant and positive associations both in boys and girls ( < .05). CRF fully mediates the relationship between MC and PA in both directions [Model 1: = .138, 95% CI (.0952, .1869), Model 2: = .108, 95% CI (.0752, .1445)]. The pathway leading from PA to MC (= .375, < .0001) has stronger predictive utility than the reverse pathway (= .124, < .0001). MC and CRF are important predictors of children's PA participation; therefore, systematic and targeted interventions focused on the enhancement of these two factors should be used as a mechanism to reinforce children's PA behavior.
为保障儿童健康,支持其身体活动(PA)行为势在必行。为了更深入地了解儿童的PA行为,本研究旨在调查儿童中期和晚期运动能力(MC)、心肺适能(CRF)与动态PA之间的关联。采用横断面设计,共检查了576名8至12岁的儿童(M = 10.2岁,SD = 1.3)。MC通过加拿大敏捷性和运动技能评估进行评估;每日PA(步数/天)通过计步器获得;CRF通过渐进式有氧心血管耐力跑进行测量。通过相关性和中介分析研究关键研究变量之间的关联。使用自举法测试了两个中介模型:(a)MC通过CRF预测PA,(b)PA通过CRF预测MC。MC、CRF和PA在男孩和女孩中均呈现显著正相关(< .05)。CRF在两个方向上都完全中介了MC与PA之间的关系[模型1:= .138,95% CI(.0952,.1869),模型2:= .108,95% CI(.0752,.1445)]。从PA到MC的路径(= .375,< .0001)比反向路径(= .124,< .0001)具有更强的预测效用。MC和CRF是儿童PA参与的重要预测因素;因此,应采用专注于增强这两个因素的系统且有针对性的干预措施,作为强化儿童PA行为的一种机制。