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A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity

机译:比较针对久坐行为和身体活动的群体差异的研究中的标准数据和成分数据分析的比较

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摘要

BackgroundData on time spent in physical activity, sedentary behavior and sleep during a day is compositional in nature, i.e. they add up to a constant value. Compositional data have fundamentally different properties from unconstrained data in real space, and require other analytical procedures, referred to as compositional data analysis (CoDA). Most physical activity and sedentary behavior studies, however, still apply analytical procedures adapted to data in real space, which can lead to misleading results. The present study describes a comparison of time spent sedentary and in physical activity between age groups and sexes, and investigates the extent to which results obtained by CoDA differ from those obtained using standard analytical procedures.
机译:背景关于一天中在体育锻炼,久坐行为和睡眠中花费的时间的数据本质上是组成性的,即它们加起来为恒定值。成分数据与真实空间中的非约束数据具有根本不同的属性,并且需要其他分析过程,称为成分数据分析(CoDA)。但是,大多数体育活动和久坐行为研究仍采用适用于真实空间数据的分析程序,这可能导致误导性结果。本研究描述了年龄段和性别之间久坐和运动时间的比较,并调查了CoDA获得的结果与使用标准分析程序获得的结果之间的差异。

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