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经典的人体测量学和身体成分指标可预测老年人代谢综合征的风险。

Classic anthropometric and body composition indicators can predict risk of metabolic syndrome in elderly.

机构信息

Departament of Nutrition and Health, Federal University of Viçosa, Brazil.

出版信息

Ann Nutr Metab. 2012;60(4):264-71. doi: 10.1159/000337943. Epub 2012 Jun 1.

DOI:10.1159/000337943
PMID:22678055
Abstract

BACKGROUND/AIMS: Although a variety of classical body measurements have been used to assess adiposity, it is still uncertain which is the best indicator to predict effects arising from the accumulation of body fat (BF) in the elderly. The objective of this study was to analyze different classical anthropometric and body composition measurements and their potential for predicting metabolic syndrome (MS) in elderly women.

METHODS

There were 113 women (60-83 years old) participating in the study, all of whom had their anthropometric, biochemical, hemodynamic and health conditions evaluated. Statistical analysis consisted of correlation coefficient and receiver operating characteristic (ROC) curves, and calculation of the area under the curve.

RESULTS

The waist-hip ratio (WHR) and waist circumference correlated with three (hyperglycemia, hypertriglyceridemia and low concentrations of high density lipoprotein-cholesterol) of the seven cardiometabolic risk factors studied. Body mass index, BF, percentage of BF, and the sum of skinfolds were less related to metabolic risk factors. Among the indicators used to characterize central adiposity, WHR was the index that showed the greatest area under the ROC curve.

CONCLUSIONS

It is suggested that the WHR, an indicator of abdominal adiposity, should be incorporated into the identification of risk of MS in elderly women.

摘要

背景/目的:尽管已经有多种经典的身体测量方法被用于评估肥胖程度,但仍不确定哪种指标是预测老年人身体脂肪(BF)积累影响的最佳指标。本研究的目的是分析不同的经典人体测量学和身体成分测量方法及其在预测老年女性代谢综合征(MS)方面的潜在作用。

方法

共有 113 名女性(60-83 岁)参与了这项研究,所有参与者均接受了人体测量学、生化、血液动力学和健康状况评估。统计分析包括相关系数和接收者操作特征(ROC)曲线,以及曲线下面积的计算。

结果

腰臀比(WHR)和腰围与研究的七个心血管代谢风险因素中的三个(高血糖、高三酰甘油血症和低高密度脂蛋白胆固醇浓度)相关。体重指数、BF、BF 百分比和皮褶总和与代谢危险因素的相关性较低。在用于描述中心性肥胖的指标中,WHR 是 ROC 曲线下面积最大的指标。

结论

建议将 WHR(一种腹部肥胖的指标)纳入老年女性 MS 风险识别中。

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