Raya-Cano Elena, Molina-Recio Guillermo, Romero-Saldaña Manuel, Álvarez-Fernández Carlos, Hernández-Reyes Alberto, Molina-Luque Rafael
Departamento de Enfermería. Facultad de Medicina y Enfermería. Universidad de Córdoba. Córdoba. España.
Departamento de Seguridad y Salud en el Trabajo. Departamento de Enfermería. Facultad de Medicina y Enfermería. Universidad de Córdoba. Córdoba. España.
Rev Esp Salud Publica. 2020 Jun 4;94:e202006042.
Metabolic syndrome (MetS) has become a worldwide epidemy as the result of a high prevalence of obesity and a sedentary lifestyle. This study was aimed to determine the predictive capacity of some anthropometric indexes on the metabolic syndrome MetS.
A cross-sectional study was carried out in 636 workers with an overall prevalence of MetS of 14.3%. Receiver Operating Characteristic curves have been carried out to determine the cut-off values. Diagnostic accuracy was determined from the sensitivity and specificity, predictive values, validity index, and Youden index.
Waist-to-Height Ratio (WHtR) and Body Round Index (BRI) were the variables with the highest area under the curve (AUC) both with 0.89 CI 95% (0.858-0.927), followed by Waist Circumference with 0.87 CI 95% (0.83-0.909). The most outstanding cut-off values were: WtHR (0.54), with a sensitivity of 90.1% and a specificity of 76.1% and BRI (4.15) achieved a sensitivity and specificity of 90.1% and 76.1%, respectively.
WHtR and BRI are the anthropometric indicators that best discriminate the incidence and prevalence of MetS on the working population. In addition, they show a significant discriminatory capability of abdominal obesity.
由于肥胖的高患病率和久坐不动的生活方式,代谢综合征(MetS)已成为一种全球流行病。本研究旨在确定一些人体测量指标对代谢综合征(MetS)的预测能力。
对636名工人进行了横断面研究,MetS的总体患病率为14.3%。绘制了受试者工作特征曲线以确定临界值。根据敏感性、特异性、预测值、有效性指数和约登指数确定诊断准确性。
腰高比(WHtR)和身体圆度指数(BRI)是曲线下面积(AUC)最高的变量,均为0.89,95%置信区间(0.858 - 0.927),其次是腰围,为0.87,95%置信区间(0.83 - 0.909)。最显著的临界值为:腰高比(0.54),敏感性为90.1%,特异性为76.1%;身体圆度指数(4.15),敏感性和特异性分别为90.1%和76.1%。
腰高比(WHtR)和身体圆度指数(BRI)是最能区分在职人群中代谢综合征发病率和患病率的人体测量指标。此外,它们对腹部肥胖具有显著的区分能力。