Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana 61801, USA.
Res Q Exerc Sport. 2010 Sep;81(3 Suppl):S53-64. doi: 10.1080/02701367.2010.10599694.
Using two major data sets from the Texas Youth Fitness Study, ordinary least squares regression, and hierarchical linear modeling, we examined the impact of hey correlates in school physical education programs and policies on students'fitness status and cross-grade differences. While a number of factors, such as teachers' training/updates, recess time, available physical activity space, a school wellness policy, and fitness testing before administration, were confirmed, these correlates can explain only limited variance. Other aspects, such as socioeconomic status and community confounding factors, were recognized and illustrated. Future studies should include more factors such as these in data collection and analysis.
利用来自德克萨斯青少年健身研究的两个主要数据集,采用普通最小二乘法回归和层次线性建模,我们研究了学校体育教育计划和政策中各种因素对学生健康状况和跨年级差异的影响。虽然已经证实了一些因素,例如教师培训/更新、课间休息时间、可利用的体育活动空间、学校健康政策和在管理之前进行体能测试等,但这些因素只能解释有限的差异。其他方面,如社会经济地位和社区混杂因素,也得到了认可和说明。未来的研究应该在数据收集和分析中纳入更多这些因素。