比较三种肥胖指数和截断值以预测大学生代谢综合征。

Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome Among University Students.

机构信息

1 Centro de Estudios para la Medición de la Actividad Física "CEMA", Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario , Bogotá, Colombia .

2 Grupo de Ejercicio Físico y Deportes, Vicerrectoría de Investigaciones, Universidad Manuela Beltrán , Bogotá, Colombia .

出版信息

Metab Syndr Relat Disord. 2017 Sep;15(7):363-370. doi: 10.1089/met.2017.0016. Epub 2017 Jun 1.

DOI:10.1089/met.2017.0016

PMID:28570830

Abstract

PURPOSE

Obesity and high body fat are related to diabetes and metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of the present study was to compare body adiposity indexes (BAIs) and to assess their various cutoff values for the prediction of MetS in university students from Colombia.

METHODS

A cross-sectional study was conducted on 886 volunteers (51.9% woman; age mean 21.4 years). Anthropometric characteristics (height, weight, waist circumference [WC], and hip circumference [HC]) were measured, and body composition was assessed by bioelectrical impedance analysis. MetS was defined as including ≥3 of the metabolic abnormalities (WC, high-density lipoprotein cholesterol [HDL-C], triglycerides, fasting glucose, and systolic and diastolic blood pressure [BP]) in the definition provided by the IDF. The BAIs (i.e., BAI-HC [BAI], BAI-WC [BAI-w], and [BAI-p]) were calculated from formulas taking into account, height, weight, and WC, and for the visceral adiposity indexes, a formula, including WC, HDL-C, and triglycerides, was used.

RESULTS

The overall prevalence of MetS was 5.9%, higher in men than in women. The most prevalent components were low HDL-C, high triglyceride levels, WC, and BP levels. The receiver operating characteristic curves analysis showed that BAI, BAI-w, and BAI-p could be useful tools to predict MetS in this population.

CONCLUSION

For women, the optimal MetS threshold was found to be 30.34 (area under curve [AUC] = 0.720-0.863), 19.10 (AUC = 0.799-0.925), and 29.68 (AUC = 0.779-0.901), for BAI, BAI-w, and BAI-p, respectively. For men, the optimal MetS threshold was found to be 27.83 (AUC = 0.726-0.873), 21.48 (AUC = 0.755-0.906), and 26.18 (AUC = 0.766-0.894), for BAI, BAI-w, and BAI-p, respectively. The three indexes can be useful tools to predict MetS according to the IDF criteria in university students from Colombia. Data on larger samples are needed.

摘要

目的

肥胖和体脂过高与所有族群的糖尿病和代谢综合征（MetS）有关。根据国际糖尿病联合会（IDF）对 MetS 的定义，本研究的目的是比较身体脂肪指数（BAI），并评估其在哥伦比亚大学生中预测 MetS 的各种截断值。

方法

对 886 名志愿者（51.9%为女性；平均年龄 21.4 岁）进行了横断面研究。测量了人体测量特征（身高、体重、腰围[WC]和臀围[HC]），并通过生物电阻抗分析评估了身体成分。MetS 定义为 IDF 提供的定义中≥3 种代谢异常（WC、高密度脂蛋白胆固醇[HDL-C]、甘油三酯、空腹血糖和收缩压及舒张压[BP]）。BAI（即 HC 相关 BAI[BAI]、WC 相关 BAI[BAI-w]和[BAI-p]）是根据考虑身高、体重和 WC 的公式计算的，对于内脏脂肪指数，使用包括 WC、HDL-C 和甘油三酯的公式。

结果

MetS 的总体患病率为 5.9%，男性高于女性。最常见的成分是低 HDL-C、高甘油三酯水平、WC 和血压水平。受试者工作特征曲线分析表明，BAI、BAI-w 和 BAI-p 可作为预测该人群 MetS 的有用工具。

结论

对于女性，发现 MetS 的最佳阈值分别为 BAI（曲线下面积[AUC]为 0.720-0.863）、BAI-w（AUC 为 0.799-0.925）和 BAI-p（AUC 为 0.779-0.901）为 30.34、19.10 和 29.68。对于男性，发现 MetS 的最佳阈值分别为 BAI（AUC 为 0.726-0.873）、BAI-w（AUC 为 0.755-0.906）和 BAI-p（AUC 为 0.766-0.894）为 27.83、21.48 和 26.18。BAI、BAI-w 和 BAI-p 可作为预测哥伦比亚大学生中根据 IDF 标准的 MetS 的有用工具。需要更大样本的数据。