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预测身体脂肪含量:体重指数与生物电阻抗估算法的比较

Predicting body fatness: the body mass index vs estimation by bioelectrical impedance.

作者信息

Roubenoff R, Dallal G E, Wilson P W

机构信息

Body Composition Laboratory, USDA Human Nutrition Research Center, Tufts University, Boston, MA 02111, USA.

出版信息

Am J Public Health. 1995 May;85(5):726-8. doi: 10.2105/ajph.85.5.726.

DOI:10.2105/ajph.85.5.726
PMID:7733439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1615438/
Abstract

The body mass index (weight in kilograms/height in square meters) is a common surrogate for fatness. With the advent of bioelectrical impedance analysis, more precise measurement of fatness in populations is now possible. We measured height, weight, and percentage that is fat by bioelectrical impedance analysis in 2032 adults, ages 31 to 92, participating in the Framingham studies. Body mass index was a poor predictor of fatness in women (R2 = 0.55) and men (R2 = 0.38), and was imprecise (standard error of estimate = 5 percentage points). The relationship between percentage fat and body mass index was quadratic in both sexes, and was altered by age in women (P < .0001) and, to a lesser extent, in men (P < .027). These data suggest that body mass index is an imprecise measurement of fatness compared with bioelectrical impedance.

摘要

体重指数(体重千克数/身高平方米数)是肥胖程度的常用替代指标。随着生物电阻抗分析技术的出现,现在有可能对人群中的肥胖程度进行更精确的测量。我们对参与弗雷明汉研究的2032名年龄在31至92岁的成年人进行了身高、体重测量,并通过生物电阻抗分析测定了脂肪百分比。体重指数对女性(R2 = 0.55)和男性(R2 = 0.38)的肥胖程度预测效果不佳,且不够精确(估计标准误差 = 5个百分点)。脂肪百分比与体重指数之间的关系在两性中均呈二次曲线,并且在女性中受年龄影响(P < .0001),在男性中受年龄影响程度较小(P < .027)。这些数据表明,与生物电阻抗相比,体重指数对肥胖程度的测量不够精确。

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本文引用的文献

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Bioelectrical impedance assessment of nutritional status in critically ill patients.危重症患者营养状况的生物电阻抗评估
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Early changes of body composition in human immunodeficiency virus-infected patients: tetrapolar body impedance analysis indicates significant malnutrition.人类免疫缺陷病毒感染患者身体成分的早期变化:四极体阻抗分析表明存在严重营养不良。
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Correlations of body mass indices with weight, stature, and body composition in men and women in NHANES I and II.美国国家健康与营养检查调查(NHANES)I和II中男性和女性的体重指数与体重、身高及身体成分的相关性。
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