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不同肥胖指数和身体成分指标在肥胖女性代谢综合征识别中的作用

The Role of Different Indexes of Adiposity and Body Composition for the Identification of Metabolic Syndrome in Women with Obesity.

作者信息

Radetti Giorgio, Fanolla Antonio, Grugni Graziano, Lupi Fiorenzo, Tamini Sofia, Cicolini Sabrina, Sartorio Alessandro

机构信息

Marienklinik, 39100 Bolzano, Italy.

Observatory for Health Provincial Government, 39100 Bolzano, Italy.

出版信息

J Clin Med. 2021 May 4;10(9):1975. doi: 10.3390/jcm10091975.

Abstract

The aim of this study was to compare the accuracy of different indexes of adiposity and/or body composition in identifying the metabolic syndrome (MetS) in a group of 1528 Caucasian women with obesity: (age ± standard deviation (SD): 50.8 ± 14 years (range 18-83); body mass index (BMI) 43.3 ± 5.9 kg/m (30.7-72.9 kg/m)). The following indexes were assessed in each subject: BMI, fat-free mass index (FFMI), fat mass index (FMI), tri-ponderal mass index (TMI), waist-to-height ratio (WtHR), and the body mass fat index (BMFI). Thereafter, a threshold value adjusted for age, which could identify MetS, was calculated for each index. A significant correlation was found among all indexes ( < 0.0001 for all). However, when the area under the curve (AUC) was compared, WtHR performed significantly better in the whole group and in the different age groups, apart from a lack of statistical difference between WtHR and BMFI in the 45-55 years age group. In conclusion, WtHR seems to be a fair index useful for identifying MetS in women with obesity. The use of thresholds appropriate for age can help further improve its accuracy, thus reinforcing the clinical evaluation for MetS screening.

摘要

本研究旨在比较不同肥胖和/或身体成分指标在一组1528名肥胖白人女性中识别代谢综合征(MetS)的准确性:(年龄±标准差(SD):50.8±14岁(范围18 - 83岁);体重指数(BMI)43.3±5.9 kg/m²(30.7 - 72.9 kg/m²))。对每位受试者评估以下指标:BMI、去脂体重指数(FFMI)、体脂指数(FMI)、三维体重指数(TMI)、腰高比(WtHR)和身体质量脂肪指数(BMFI)。此后,为每个指标计算根据年龄调整的可识别MetS的阈值。所有指标之间均发现显著相关性(所有P < 0.0001)。然而,当比较曲线下面积(AUC)时,除45 - 55岁年龄组中WtHR与BMFI之间无统计学差异外,WtHR在整个组和不同年龄组中的表现均显著更好。总之,WtHR似乎是用于识别肥胖女性中MetS的一个合适指标。使用适合年龄的阈值有助于进一步提高其准确性,从而加强对MetS筛查的临床评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d85/8125097/1ee4dc604a75/jcm-10-01975-g001.jpg

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