Faculty of Sport and Health Sciences, University of Jyväskylä, Jyvaskyla, Finland.
Open University of Helsinki, University of Helsinki, Helsinki, Finland.
J Sports Sci. 2021 Nov;39(21):2503-2508. doi: 10.1080/02640414.2021.1949114. Epub 2021 Jul 3.
The aims of this study were; 1) to identify different movement profiles in sixth graders, and 2) to investigate if there are differences in their mathematical basic (BasicMath) and problem solving (ProbSol) skills between existing movement profiles. The sample included 461 (223 girls, 238 boys) students with a mean age of 11.27 ± .32 years from southern and middle Finland. A latent profile analysis (LPA) revealed four movement profiles: "poor movers", "average movers", "skilled movers" and "expert movers". These profiles differed substantially in their motor competence (MC) and health-related fitness (HRF). A multivariate analysis of variance (MANOVA) also revealed that "poor movers" and "average movers" obtained lower results in BasicMath comparing with "skilled movers". The results of this study suggest that cardiorespiratory and muscular fitness, MC and BasicMath are interrelated.
1）确定六年级学生的不同运动模式，以及 2）调查现有运动模式之间的数学基本（BasicMath）和解决问题（ProbSol）技能是否存在差异。该样本包括来自芬兰南部和中部的 461 名学生（223 名女生，238 名男生），平均年龄为 11.27±0.32 岁。潜在剖面分析（LPA）揭示了四种运动模式：“运动能力差”、“运动能力一般”、“运动能力熟练”和“运动能力专家”。这些模式在运动能力（MC）和与健康相关的体能（HRF）方面存在显著差异。多变量方差分析（MANOVA）还表明，“运动能力差”和“运动能力一般”的学生在 BasicMath 方面的成绩低于“运动能力熟练”的学生。本研究的结果表明，心肺和肌肉健康、MC 和 BasicMath 是相互关联的。
