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方法学因素与女运动员体脂预测

Methodological factors and the prediction of body fat in female athletes.

作者信息

Lohman T G, Pollock M L, Slaughter M H, Brandon L J, Boileau R A

出版信息

Med Sci Sports Exerc. 1984;16(1):92-6.

PMID:6708788
Abstract

The effect of skinfold caliper, investigator technique, and various skinfold prediction equations on estimates of body fatness was investigated using college-age female basketball players. Four skinfold calipers, four investigators, and five prediction equations from the literature were selected for study. Skinfolds were obtained on 16 athletes for each of five sites by all four investigators using each caliper. Triceps and subscapular skinfolds showed less variation among investigators (mean differences of 1-4 mm) as compared to suprailiac, abdomen, and thigh skinfolds (mean differences of up to 5-6 mm). Differences among investigators were less using the Harpenden and Holtain than for the Lange and Adipometer calipers. All three sources of variation--caliper, investigator, and prediction equation--contributed significantly to the variability in estimates of mean fat content of this sample, which ranged from 14.1-28.1% depending on which of the 80 caliper-investigator-prediction equation combinations (four calipers, four investigators, and five equations) was used. Using any one prediction equation, the range in mean percent fat due to the 16 caliper-investigator combinations was 7%. The results illustrate the need for standardization of skinfold sites, caliper, and prediction equations for reliable estimation of body composition in a specific population.

摘要

利用大学年龄的女子篮球运动员,研究了皮褶厚度计、研究者技术以及各种皮褶预测方程对身体脂肪含量估计值的影响。选择了四种皮褶厚度计、四名研究者以及文献中的五个预测方程进行研究。四名研究者使用每种皮褶厚度计,在16名运动员的五个部位分别测量皮褶厚度。与髂嵴、腹部和大腿皮褶厚度(平均差异高达5 - 6毫米)相比,肱三头肌和肩胛下皮褶厚度在研究者之间的差异较小(平均差异为1 - 4毫米)。使用哈彭登和霍尔坦皮褶厚度计的研究者之间的差异小于使用兰格和脂肪测量仪皮褶厚度计的情况。卡尺、研究者和预测方程这三个变异来源对该样本平均脂肪含量估计值的变异性均有显著贡献,根据所使用的80种卡尺 - 研究者 - 预测方程组合(四种卡尺、四名研究者和五个方程)中的哪一种,样本的平均脂肪含量范围为14.1% - 28.1%。使用任何一个预测方程,由于16种卡尺 - 研究者组合导致的平均脂肪百分比范围为7%。结果表明,为了在特定人群中可靠地估计身体成分,需要对皮褶测量部位、皮褶厚度计和预测方程进行标准化。

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