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计算和评估基本运动技能和体力活动与儿童时期受引导的活跃游戏之间的平等和差异因素权重之间的关系

Glory Madu¹, Victoria Kwong¹, Dusan Calic¹

¹School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada.

Children (Basel, Switzerland)

|December 30, 2025

概括

总运动发育测试 (TGMD-2) 使用相同或差异加权,充分评估儿童的运动技能. 这两种评分方法都与身体活动和健身有着相似的关系,这表明临床使用的灵活性.

科学领域:

儿童运动发展和评估.
儿童的体力活动和健身.
心理测量仪器的定量分析.

背景情况:

总发动机发展测试 (TGMD-2) 传统上假设其12个机动机 (LOC) 和对象控制 (OC) 技能具有相同的权重.
之前的验证研究表明,LOC和OC中的个人技能可能对整体成绩有不同的贡献.
目前的研究调查了差异加权对TGMD-2分数的影响及其与健身和体育活动的关系.

研究的目的:

为了比较TGMD-2中等加权与差异加权得分的有效性.
检查这些加权的TGMD-2分数与儿童的健身和体力活动 (PA) 测量之间的关系.
使用探索性因子分析 (EFA) 探索TGMD-2技能的因子结构.

主要方法:

探索性因子分析 (EFA) 用于估计82名儿童 (7.6±1.5岁) 的TGMD-2 LOC和OC技能的差异因子权重.
多重线性回归和Chi-square分析比较了与健身,BMI,性别,年龄以及加速计衍生的体力活动能量消耗 (PAEE) 和中度至强度体力活动 (MVPA) 的相同和差异加权得分.
数据是在1小时的指导活动游戏 (GAP) 会议中收集的.

主要成果:

EFA支持一个两因素结构,解释了51.1%的差异,其中12个技能中有9个技能负载≥0.500.
在使用八个预测指标时,均等和差异加权的TGMD-2分数都显示了PAEE (53%),MVPA (40%),OC (31%) 和LOC (14%) 的可比解释差异 (R2).
奇方位分析显示,高OC技能与MVPA之间,以及LOC技能 (LP,STR) 与PAEE之间存在显著的关联.

结论:

平等和差异加权的TGMD-2分数都适合临床和教育应用,显示与体力活动和与健康相关的健康状况 (HRF) 变量有相似的关联.
不同的权重突出了个体运动技能的不同贡献,可能为有针对性的干预研究提供优势.
这些发现支持TGMD-2的实用性,用于评估总运动发育及其与儿童身体活动和健康的联系.

关键词:

有关因素负载的因素负载.有引导的活跃游戏.机器和对象控制技能技能.测量过程中的测量.

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