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美国青少年肥胖指标作为高肝脏脂肪预测指标的判别能力。

Discriminatory capacity of obesity indicators as predictors of high liver fat in US adolescents.

作者信息

Correa-Rodríguez María, Izquierdo Mikel, García-Hermoso Antonio, Ramírez-Vélez Robinson

机构信息

Departament of Nursing, Health Sciences Faculty, University of Granada, Granada, Spain.

Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.

出版信息

Eur J Clin Invest. 2022 Jan;52(1):e13654. doi: 10.1111/eci.13654. Epub 2021 Jul 26.

DOI:10.1111/eci.13654
PMID:34293184
Abstract

BACKGROUND

The aims of this study were to assess the potential of 16 anthropometric, body composition and endocrine indexes as predictors of high liver fat and determine the most appropriate cut-off points in US adolescents.

METHODS

A cross-sectional study was conducted on a population of 816 adolescents aged 12-17 years. The FibroScan 502V2 device was used to estimate the controlled attenuation parameter (CAP). Body fat percentage, fat mass, trunk fat percentage and trunk fat mass were measured by dual-energy X-ray absorptiometry. Anthropometric data and metabolic parameters were determined. Receiver operating characteristic curves were analysed to estimate the optimal cut-off points that best identify adolescents with high liver fat (CAP ≥90th percentile).

RESULTS

In boys, triponderal mass index (TMI) had the highest area under curve (AUC) value (0.865) and the optimal cut-off score for TMI was 17.47 kg/m , which had 81.32 sensitivity and 82.99 specificity. In girls, trunk fat index (TFI) had the highest AUC value (0.826) and its optimal cut-off score in screening for high liver fat was 3.76 kg/m , which had 74.04 sensitivity and 88.03 specificity. Fat mass index (FMI) index had the second highest AUC values (0.863 in boys 0.812 in girls) in both sex; the cut-off point for the detection of high liver fat was <8.66 kg/m for girls and <7.45 kg/m for boys.

CONCLUSION

Assessment of TMI in boys, TFI in girls, and FMI in both sexes are low-cost and easy-to-use parameters that may be useful as early screening tools for possible high liver fat in adolescents.

摘要

背景

本研究旨在评估16项人体测量、身体成分和内分泌指标作为高肝脂肪预测指标的潜力,并确定美国青少年中最合适的切点。

方法

对816名12至17岁的青少年进行了一项横断面研究。使用FibroScan 502V2设备估计受控衰减参数(CAP)。通过双能X线吸收法测量体脂百分比、脂肪量、躯干脂肪百分比和躯干脂肪量。测定人体测量数据和代谢参数。分析受试者工作特征曲线以估计最能识别高肝脂肪青少年(CAP≥第90百分位数)的最佳切点。

结果

在男孩中,三重量指数(TMI)的曲线下面积(AUC)值最高(0.865),TMI的最佳切点分数为17.47kg/m,灵敏度为81.32,特异性为82.99。在女孩中,躯干脂肪指数(TFI)的AUC值最高(0.826),其筛查高肝脂肪的最佳切点分数为3.76kg/m,灵敏度为74.04,特异性为88.03。脂肪量指数(FMI)在两性中的AUC值均为第二高(男孩为0.863,女孩为0.812);检测高肝脂肪的切点为女孩<8.66kg/m,男孩<7.45kg/m。

结论

评估男孩的TMI、女孩的TFI和两性的FMI是低成本且易于使用的参数,可能作为青少年高肝脂肪可能性的早期筛查工具。

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