印度南部金奈男性产业工人人群中用于预测高血压和2型糖尿病的人体测量指数比较。

A comparison of anthropometric indices for predicting hypertension and type 2 diabetes in a male industrial population of Chennai, South India.

作者信息

Kaur Prabhdeep, Radhakrishnan Ezhil, Sankarasubbaiyan Suresh, Rao Sudha Ramachandra, Kondalsamy-Chennakesavan Srinivas, Rao Thota Venkata, Gupte Mohan Digamber

机构信息

National Institute of Epidemiology, Indian Council of Medical Research, R-127, 3rd Ave, Ambattur Housing Board, Phase I and II, Chennai 600 077, India.

出版信息

Ethn Dis. 2008 Winter;18(1):31-6.

DOI:
Abstract

OBJECTIVES

To assess the association of four obesity-related indices--body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-stature ratio (WSR)--with hypertension and type 2 diabetes among a male industrial population in south India.

DESIGN, SETTING, AND PARTICIPANTS: A cross sectional study of 2148 men aged 18-69 years in two purposely selected industrial units in Chennai, India, in 2003-2005.

MAIN OUTCOME MEASURES

The examination included blood pressure and anthropometric measurements (height, weight, hip circumference, and WC) to calculate BMI, WHR, and WSR. Fasting blood samples were taken to assess plasma glucose.

RESULTS

Prevalence of overweight was 43.4%; prevalences of central obesity using WC > or = 90.0 cm and WHR > 0.90 were 50.0% and 70%, respectively. The prevalences of hypertension and type 2 diabetes were 26.5% and 16.3%, respectively. There was a significant increase in the prevalence of type 2 diabetes and hypertension across the quintiles for the four anthropometric indices. In logistic regression analysis, BMI and WC showed a significant graded increase in the odds ratio for hypertension after adjusting for age. In case of type 2 diabetes, only WHR showed significant increase in odds ratio across quintiles after adjusting for age and BMI.

CONCLUSIONS

WHR was the best predictor for type 2 diabetes in the study sample. BMI and WC were good predictors for hypertension. We recommend that WHR should be routinely used in this clinical setting in addition to BMI to detect persons at high risk in these industrial units. Prospective studies are needed to provide evidence of the predictive power of anthropometric indices for Asian Indians.

摘要

目的

评估印度南部男性产业工人人群中四个肥胖相关指标——体重指数(BMI)、腰围(WC)、腰臀比(WHR)和腰高比(WSR)——与高血压和2型糖尿病之间的关联。

设计、地点和参与者:2003年至2005年在印度钦奈两个特意挑选的产业单位中对2148名年龄在18 - 69岁的男性进行的横断面研究。

主要观察指标

检查包括血压测量和人体测量(身高、体重、臀围和腰围)以计算BMI、WHR和WSR。采集空腹血样以评估血浆葡萄糖。

结果

超重患病率为43.4%;使用腰围≥90.0厘米和腰臀比>0.90作为中心性肥胖的患病率分别为50.0%和70%。高血压和2型糖尿病的患病率分别为26.5%和16.3%。四个人体测量指标的五分位数分组中,2型糖尿病和高血压的患病率均显著增加。在逻辑回归分析中,调整年龄后,BMI和WC显示高血压比值比有显著的分级增加。对于2型糖尿病,调整年龄和BMI后,仅WHR在五分位数分组中显示比值比有显著增加。

结论

在研究样本中,WHR是2型糖尿病的最佳预测指标。BMI和WC是高血压的良好预测指标。我们建议,除BMI外,在这种临床环境中应常规使用WHR来检测这些产业单位中的高危人群。需要进行前瞻性研究以提供人体测量指标对亚洲印度人预测能力的证据。

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