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女性总体及中心性肥胖的人体测量与心血管疾病风险预测:一项横断面研究

Anthropometric measurements of general and central obesity and the prediction of cardiovascular disease risk in women: a cross-sectional study.

作者信息

Goh Louise G H, Dhaliwal Satvinder S, Welborn Timothy A, Lee Andy H, Della Phillip R

机构信息

School of Public Health, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia, Australia.

出版信息

BMJ Open. 2014 Feb 6;4(2):e004138. doi: 10.1136/bmjopen-2013-004138.

Abstract

OBJECTIVES

It is important to ascertain which anthropometric measurements of obesity, general or central, are better predictors of cardiovascular disease (CVD) risk in women. 10-year CVD risk was calculated from the Framingham risk score model, SCORE risk chart for high-risk regions, general CVD and simplified general CVD risk score models. Increase in CVD risk associated with 1 SD increment in each anthropometric measurement above the mean was calculated, and the diagnostic utility of obesity measures in identifying participants with increased likelihood of being above the treatment threshold was assessed.

DESIGN

Cross-sectional data from the National Heart Foundation Risk Factor Prevalence Study.

SETTING

Population-based survey in Australia.

PARTICIPANTS

4487 women aged 20-69 years without heart disease, diabetes or stroke.

OUTCOME MEASURES

Anthropometric obesity measures that demonstrated the greatest increase in CVD risk as a result of incremental change, 1 SD above the mean, and obesity measures that had the greatest diagnostic utility in identifying participants above the respective treatment thresholds of various risk score models.

RESULTS

Waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-stature ratio had larger effects on increased CVD risk compared with body mass index (BMI). These central obesity measures also had higher sensitivity and specificity in identifying women above and below the 20% treatment threshold than BMI. Central obesity measures also recorded better correlations with CVD risk compared with general obesity measures. WC and WHR were found to be significant and independent predictors of CVD risk, as indicated by the high area under the receiver operating characteristic curves (>0.76), after controlling for BMI in the simplified general CVD risk score model.

CONCLUSIONS

Central obesity measures are better predictors of CVD risk compared with general obesity measures in women. It is equally important to maintain a healthy weight and to prevent central obesity concurrently.

摘要

目的

确定肥胖的哪些人体测量指标,无论是全身性还是中心性的,能更好地预测女性心血管疾病(CVD)风险。通过弗雷明汉风险评分模型、高风险地区的SCORE风险图表、一般心血管疾病和简化的一般心血管疾病风险评分模型计算10年心血管疾病风险。计算每种人体测量指标高于均值1个标准差增加时心血管疾病风险的增加量,并评估肥胖指标在识别治疗阈值以上可能性增加的参与者方面的诊断效用。

设计

来自国家心脏基金会风险因素患病率研究的横断面数据。

背景

澳大利亚基于人群的调查。

参与者

4487名年龄在20 - 69岁之间、无心脏病、糖尿病或中风的女性。

观察指标

因增量变化(高于均值1个标准差)导致心血管疾病风险增加最大的人体测量肥胖指标,以及在识别高于各种风险评分模型各自治疗阈值的参与者方面具有最大诊断效用的肥胖指标。

结果

与体重指数(BMI)相比,腰围(WC)、腰臀比(WHR)和腰高比与心血管疾病风险增加的关联更大。这些中心性肥胖指标在识别高于和低于20%治疗阈值的女性方面,比BMI具有更高的敏感性和特异性。与全身性肥胖指标相比,中心性肥胖指标与心血管疾病风险的相关性也更好。在简化的一般心血管疾病风险评分模型中,控制BMI后,WC和WHR被发现是心血管疾病风险的显著且独立预测指标,受试者工作特征曲线下面积较高(>0.76)。

结论

与全身性肥胖指标相比,中心性肥胖指标能更好地预测女性心血管疾病风险。保持健康体重和同时预防中心性肥胖同样重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f88/3918987/42f19039bfec/bmjopen2013004138f01.jpg

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