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用于评估青少年体脂肪过多的人体测量学指标的诊断性能。

Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence.

机构信息

Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil.

Centro Universitário FIPMOC, Montes Claros, MG, Brazil.

出版信息

Rev Paul Pediatr. 2022 Jul 6;41:e2021189. doi: 10.1590/1984-0462/2023/41/2021189. eCollection 2022.

DOI:10.1590/1984-0462/2023/41/2021189
PMID:35830159
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9273120/
Abstract

OBJECTIVE

To compare the performance of anthropometric indicators that identify excess body fat (BF) in adolescents.

METHODS

This is a methodological study that used probability cluster sampling through school and class draws. Data collection included sociodemographic characteristics and anthropometric measures. Body mass index (BMI), waist-to-height ratio (WtHR), conicity index (C index), and waist circumference (WC) were calculated. Body fat percentage (BF%) was calculated from skinfold thickness and used as the gold standard. To analyze the data, descriptive statistics, Student's t-test, Receiver Operating Characteristic (ROC) curve, and Youden's index were used, in addition to correlation coefficient calculation between the indicators and BF%.

RESULTS

A total of 997 adolescents enrolled in municipal secondary schools participated in the study. By calculating the BMI, we found that 10.6% of adolescents were overweight, and 4.7% were obese. BMI, WC, and WtHR had the highest accuracy to predict body fatness. All the anthropometric indicators had higher specificity than sensitivity to diagnose excess BF in males. WC had the highest sensitivity in both genders. C index had the smallest area under the ROC curve and the lowest sensitivity in both genders, but its specificity was equivalent to that of the other indicators.

CONCLUSIONS

BMI, WtHR, and WC were the best anthropometric indicators to predict excess BF in adolescents and had the best correlation coefficients. These tools can be considered in the screening to detect excess BF in adolescents.

摘要

目的

比较识别青少年体脂肪过多(BF)的人体测量指标的性能。

方法

这是一项方法学研究,通过学校和班级抽取进行概率聚类抽样。数据收集包括社会人口统计学特征和人体测量指标。计算了体重指数(BMI)、腰高比(WtHR)、锥形指数(C 指数)和腰围(WC)。体脂肪百分比(BF%)是根据皮褶厚度计算的,并用作金标准。为了分析数据,使用了描述性统计、学生 t 检验、接收器工作特征(ROC)曲线和 Youden 指数,以及指标与 BF%之间的相关系数计算。

结果

共有 997 名参加市立中学的青少年参与了这项研究。通过计算 BMI,我们发现 10.6%的青少年超重,4.7%的青少年肥胖。BMI、WC 和 WtHR 对预测体脂最准确。所有人体测量指标在男性中对诊断多余 BF 的特异性均高于敏感性。WC 在两性中均具有最高的敏感性。C 指数在两性中的 ROC 曲线下面积最小,敏感性最低,但特异性与其他指标相当。

结论

BMI、WtHR 和 WC 是预测青少年多余 BF 的最佳人体测量指标,且具有最佳的相关系数。这些工具可以考虑用于筛查青少年多余 BF。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e25/9273120/c8c1431e9fe7/1984-0462-rpp-41-e2021189-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e25/9273120/8382e5bb8336/1984-0462-rpp-41-e2021189-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e25/9273120/c8c1431e9fe7/1984-0462-rpp-41-e2021189-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e25/9273120/8382e5bb8336/1984-0462-rpp-41-e2021189-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e25/9273120/c8c1431e9fe7/1984-0462-rpp-41-e2021189-gf02.jpg

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