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通过简单人体测量学指标的密度测量法预测身体成分。

Predicting body composition by densitometry from simple anthropometric measurements.

作者信息

Lean M E, Han T S, Deurenberg P

机构信息

Department of Human Nutrition, University of Glasgow, United Kingdom.

出版信息

Am J Clin Nutr. 1996 Jan;63(1):4-14. doi: 10.1093/ajcn/63.1.4.

Abstract

New equations have been developed to predict body fat (percent BF) calculated from body density measured by underwater weighing from simple anthropometric measurements, using stepwise-multiple-regression analysis in 63 men and 84 women. Log10 sum of four skinfold thickness explained 80.1% (SE = 3.8) of variance of percent BF in men and 76.4% (SE = 4.6) in women. Alternative equations using limb lengths instead of height may be valuable for epidemiologic and clinical work, with particular advantages for the chair- or bed bound, for whom no previous predictive equations existed. Five equations combining triceps-skinfold thickness with other anthropometric measurements explained > 80% (men) and 77% (women) of variance. The most powerful prediction was from waist circumference and triceps-skinfold thickness, which explained 86.6% (SE = 3.2) of variance of percent BF in men and 79.0% (SE = 4.0) in women. Percent BF for men = 0.353 waist (cm) + 0.756 triceps (mm) + 0.235 age (y) - 26.4; for women = 0.232 waist (cm) + 0.657 triceps (mm) + 0.215 age (y) - 5.5. The equations were tested in a separately studied validation sample of 146 men and 238 women aged 18-83 y. Skinfold-thickness measurements continued to give good predictions of mean body density, but with significant bias at extremes of body fat and age. The most robust prediction with the least bias was from waist circumference adjusted for age. Percent BF for men = 0.567 waist (cm) + 0.101 age (y) - 31.8; and for women = 0.439 waist (cm) + 0.221 age (y) - 9.4.

摘要

通过对63名男性和84名女性进行逐步多元回归分析,已开发出新的方程,用于根据简单人体测量学测量结果预测由水下称重法测得的身体密度所计算出的体脂百分比(%BF)。男性四个皮褶厚度的对数总和解释了%BF方差的80.1%(标准误=3.8),女性为76.4%(标准误=4.6)。使用肢体长度而非身高的替代方程可能对流行病学和临床工作有价值,对于那些之前没有预测方程的坐轮椅或卧床的人具有特别优势。五个将肱三头肌皮褶厚度与其他人体测量学测量相结合的方程解释了男性>80%和女性77%的方差。最有力的预测来自腰围和肱三头肌皮褶厚度,它们解释了男性%BF方差的86.6%(标准误=3.2),女性为79.0%(标准误=4.0)。男性的%BF = 0.353×腰围(厘米) + 0.756×肱三头肌(毫米) + 0.235×年龄(岁) - 26.4;女性为 = 0.232×腰围(厘米) + 0.657×肱三头肌(毫米) + 0.215×年龄(岁) - 5.5。这些方程在一个单独研究的146名男性和238名年龄在18 - 83岁的女性验证样本中进行了测试。皮褶厚度测量继续对平均身体密度给出良好预测,但在体脂和年龄极端情况下存在显著偏差。偏差最小的最稳健预测来自根据年龄调整的腰围。男性的%BF = 0.567×腰围(厘米) + 0.101×年龄(岁) - 31.8;女性为 = 0.439×腰围(厘米) + 0.221×年龄(岁) - 9.4。

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