大学生身体活动参数与身体成分测量的典型相关分析

P. Hart
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引用次数: 1

摘要

本研究旨在探讨大学生身体活动(physical activity, PA)参数与身体成分(body composition, BC)测量之间的多变量相关性。本研究共纳入N=60名大学生,他们完成了PA问卷并进行了BC评估。使用三个变量来测量PA结构:VO2max (ml/kg/min),中度PA分钟(MMPA) (min/week)和肌肉强化活动(MSA) (days/week)。三个变量用于测量BC结构:体脂百分比(PBF)(%)、体重指数(BMI) (kg/m2)和腰围(WC) (cm)。使用三种不同的统计软件包来确保一致性的典型相关分析(CCA)结果:SAS, SPSS和r。两个变量在CCA中显示有用。第一个变量显示77.8%的解释方差和较大的典型相关(rc = .512)。第二个变量显示21.8%的解释方差和适度的典型相关(rc = .301)。所有群落(h2s)对于PA变量都很大。然而,在BC结构中,h2s仅在PBF和BMI中较大。本研究结果表明,大学生的PA构念和BC构念之间存在显著的相关关系。特别值得注意的是,MSA、MMPA、PBF和BMI对第一个变量的贡献。同样,VO2max, MSA和BMI对第二个变量的贡献。这些发现可能提示了两种不同的PA和BC之间的关系:1)一般PA行为和BC之间的关系,2)运动和BC之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Canonical Correlation Analysis of Physical Activity Parameters and Body Composition Measures in College Students
The aim of this study was to examine the multivariate associate between physical activity (PA) parameters and body composition (BC) measures in college students. A total of N=60 college students who completed a PA questionnaire and had their BC assessed were included in this study. Three variables were used to measure the PA construct: VO2max (ml/kg/min), minutes of moderate PA (MMPA) (min/week), and muscle strengthening activity (MSA) (days/week). Three variables were used to measure the BC construct: percent body fat (PBF) (%), body mass index (BMI) (kg/m2), and waist circumference (WC) (cm). Three different statistical software packages were used to ensure consistent canonical correlation analysis (CCA) findings: SAS, SPSS, and R. Two variates presented useful in the CCA. The first variate showed 77.8% explained variance and a large canonical correlation (rc = .512). The second variate showed 21.8% explained variance and a modest canonical correlation (rc = .301). All communalities (h2s) were large for PA variables. However, h2s were only large for PBF and BMI in the BC construct. Results from this study indicate that PA and BC constructs are correlated with each other in college students. Of particular note, is the contribution of MSA, MMPA, PBF, and BMI to the first variate. As well, the contribution of VO2max, MSA, and BMI to the second variate. These findings may suggest two different relationships between PA and BC: 1) a general PA behavior and BC relationship and 2) an exercise and BC relationship.
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