Factor analysis and multivariate scaling of anthropometric variables for the assessment of body composition.
Factor analysis and multivariate scaling of anthropometric variables for the assessment of body composition.
复制标题
用于评估身体成分的人体测量变量的因子分析和多变量标度。
DOI：
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发表时间：
1976
期刊：
影响因子：
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通讯作者：
M. Pollock
中科院分区：
文献类型：
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作者：
A. Jackson;M. Pollock
本研究旨在识别以皮褶脂肪(S)、周长(G)和直径(D)变量衡量的身体成分因素，并提供衡量脂肪(F)和瘦体重(LBW)因素的多变量比例模型。对83名年轻女性(YW)和95名年轻男性(YM)进行了7S、11G和7D测量。体密度(BD)采用静水法测定。对所有变量进行因子分析，并使用F和LBW来验证孤立因素。YM数据显示一个F因子和两个LBW因子。LBW因子I测量肌肉质量和骨结构；LBW因子II测量骨骼D。YW数据分离出四个因子：相同的三个YM加上第二个专用于骨盆腰带的F因子。因子得分模型被用来制定测量F和LBW因子的尺度策略。建立了全部27个变量的全模型和14个S、G、D变量的约束模型，全模型和约束模型的因子分之间的相关系数在0.84~0.98之间。限制模型计算的因子分数与实验室测定的F和LBW之间的复相关系数分别为：Ym为0.90~0.94，Yw为0.88~0.89。多元尺度模型为测量人体成分提供了一种有效的现场方法。
This study was designed to identify the body composition factors measured by skinfold fat (S), girth (G), and diameter (D) variables and to provide multivariate scaling models that measure fat (F) and lean body weight (LBW) factors. A total of 7S, 11G, and 7D measurements were determined on 83 young women (YW) and 95 young men (YM). Body density (BD) was determined by the hydrostatic technique. All variables were factor analyzed, and F and LBW were used to validate isolated factors. The YM data showed one F factor and two LBW factors. LBW factor I measured muscle mass and bone structure; LBW factor II, bone D. The YW data isolated four factors: the same three of YM plus a second F factor specific to the pelvic girdle. Factor score models were used to develop scaling strategies to measure F and LBW factors. Full models of all 27 variables and restricted models of 14 S, G, and D variables were developed; the correlations between factor scores scaled from the full and restricted models ranged from 0.84 to 0.98. The multiple correlation between factor scores calculated from the restricted models and laboratory-determined F and LBW ranged from 0.90 to 0.94 for YM and from 0.88 to 0.89 for YW. The multivariate scaling models provide a valid field method of measuring body composition.