基于与健康相关体脂的共识制定的体重指数标准。

Body Mass Index standards based on agreement with health-related body fat.

机构信息

School of Kinesiology and Recreation, Illinois State University, Normal, Illinois 61790, USA.

出版信息

Am J Prev Med. 2011 Oct;41(4 Suppl 2):S100-5. doi: 10.1016/j.amepre.2011.07.004.

DOI:10.1016/j.amepre.2011.07.004

PMID:21961608

Abstract

BACKGROUND

Multiple screening tools, such as BMI and skinfold-derived percent body fat (%BF), are available to identify youth at risk of excess adiposity. However, poor classification agreement among these tools can be problematic for those interpreting test results.

PURPOSE

The purpose of this study was to investigate the validity of using BMI as an estimate of %BF in youth and to identify optimal BMI thresholds for identifying at-risk children and adolescents based on %BF.

METHODS

Percent body fat was derived from the skinfold thicknesses of children aged 5-18 years from three cross-sectional waves of the National Health and Nutrition Examination Survey (NHANES [1999-2004]; N=8269). Stature and body mass from the same data set were used to calculate BMI. Receiver operating characteristic (ROC) analysis was employed to determine the optimal BMI thresholds for detecting previously created %BF standards.

RESULTS

The optimal BMI percentile associated with the low risk %BF threshold was the 83 rd and 80th in boys and girls, respectively. The selected BMI percentiles associated with the higher risk threshold were the 92 nd and 90th in boys and girls, respectively. Overall, classification accuracy when using BMI percentiles to identify the two %BF risk groups ranged from 86.9% to 89.1%.

CONCLUSIONS

BMI and skinfold-derived %BF demonstrate reasonable agreement when used to classify adiposity status in children and adolescents.

摘要

背景

有多种筛选工具，如 BMI 和皮褶厚度衍生的体脂百分比（%BF），可用于识别有超重风险的青少年。然而，这些工具之间的分类一致性较差可能会给那些解释测试结果的人带来问题。

目的

本研究旨在探讨 BMI 作为青少年%BF 估计值的有效性，并确定基于%BF 识别高危儿童和青少年的最佳 BMI 阈值。

方法

从国家健康和营养检查调查（NHANES [1999-2004]）的三个横断面波中，得出了 5-18 岁儿童的体脂百分比。从同一数据集获得的身高和体重用于计算 BMI。采用接收者操作特征（ROC）分析确定最佳 BMI 阈值，以检测先前创建的%BF 标准。

结果

与低风险%BF 阈值相关的最佳 BMI 百分位数分别是男孩和女孩的第 83 百分位数和第 80 百分位数。与较高风险阈值相关的选定 BMI 百分位数分别是男孩和女孩的第 92 百分位数和第 90 百分位数。总体而言，使用 BMI 百分位数识别两个%BF 风险组时的分类准确性范围为 86.9%至 89.1%。