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Predicting Body Fat Using Weight-height Indices

机译:使用体重指数预测体脂

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While body fat is the most accurate measure of obesity, its measurement requires special equipment that can be costly and time consuming to operate. Attention has thus typically focused on the easier to calculate body mass index (BMI). However, the ability of BMI to accurately identify obesity has been increasingly questioned. This paper focuses attention on whether more general body mass indices are appropriate measures of body fat. Using a data set of body fat, height, and weight measurements, general models are estimated which nest a wide variety of weight-height indices as special cases. In the absence of a race and gender categorisation, the conventional BMI was found to be the appropriate index with which to predict body fat. When such a categorisation was made, however, the BMI was never selected as the appropriate index. In general, predicted female body fat was some 10 kg higher than that of a male of identical build and predicted % body fat was over 11 percentage points higher, but age effects were smaller for females. Considerable racial differences in predicted body fat were found for males, but such differences were less marked for females. The implications of this finding for interpreting recent research on the effect of obesity on health, society, and economic factors are considered.
机译:虽然体脂是肥胖症的最准确测量方法,但其测量需要特殊的设备,这些设备可能昂贵且耗时。因此,通常将注意力集中在更容易计算的体重指数(BMI)上。但是,BMI准确识别肥胖的能力受到越来越多的质疑。本文重点关注更一般的体重指数是否适合测量体内脂肪。使用身体脂肪,身高和体重测量值的数据集,可以估算通用模型,这些模型嵌套了许多体重-身高指数作为特殊情况。在没有种族和性别分类的情况下,传统的BMI被认为是预测体脂的合适指标。但是,进行这种分类时,从来没有选择BMI作为适当的索引。一般而言,预测的女性体内脂肪比同等身材的男性高10公斤,并且预测的体内脂肪百分比高出11个百分点,但是女性的年龄影响较小。男性的预测体脂存在明显的种族差异,但女性的差异较小。考虑了该发现对解释肥胖对健康,社会和经济因素的影响的最新研究的意义。

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