人体测量学指标预测代谢综合征发病风险

The application of anthropometric indices in predicting the onset risk of metabolic syndrome

代谢综合征(MS)是以中心性肥胖和胰岛素抵抗为共同病理生理基础的代谢异常证候群。临床实践中应用人体测量学指标可以预测MS的发病风险,评价治疗效果。这些指标包括体质指数(BMI)、腰围(WC)、腰身比(WHtR)、内脏脂肪指数(VAI)、身体形态指数(ABSI)等。各测量学指标临床应用的侧重点各有不同。BMI侧重于评价全身性肥胖,WC多用于评价中心性肥胖,WHtR虽与WC预测MS发病风险能力相近,但校正了身高差异,更具优越性。VAI与尿酸的相关性较高。ABSI可预测MS发病风险,但效用较弱。

Central obesity and insulin resistance compose of the common pathophysiological basis of the metabolic syndrome(MS).Anthropometric indices in clinical practice can predict the risk of MS and evaluate the efficacy of corresponding treatment.These indices include BMI,waist circumference(WC),waist circumference height ratio(WHtR),visceral fat index(VAI),and body shape index(ABSI).The preference order in application of each measurement index varies based on different clinical settings.Body mass index focuses on evaluating overall obesity,Waist circumference is used to assess central obesity,whereas the ability of waist-to-height ratio to predict the risk of MS is similar to that of waist circumference,account for the height differences were both corrected.There is a strongly positive correlation between visceral adiposity index and uric acid.Moreover,body shape index is able to predict the risk of metabolic syndrome under certain circumstances,but its overall effect is weak.