Predictive value of waist-to-hip ratio on cardiovascular risk events

被引:59
作者
Megnien, JL [1 ]
Denarie, N [1 ]
Cocaul, M [1 ]
Simon, A [1 ]
Levenson, J [1 ]
机构
[1] Hop Broussais, INSERM, CRI, Ctr Med Prevent Cardiovasc, F-75674 Paris 14, France
关键词
risk factors; coronary disease; abdominal fatness;
D O I
10.1038/sj.ijo.0800764
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND: A central distribution of adipose tissue is frequently associated with cardiovascular disease (CVD) and its risk factors. METHODS: Clinical usefulness of waist-to-hip ratio (WHR) for predicting the risk of cardiovascular events, estimated with models based on data from the Framingham and Prospective Cardiovascular Munster (PROCAM) studies was evaluated. SUBJECTS: These were 552 men and 160 women, asymptomatic and at risk for CVD, aged 30-74 y, recruited from an ongoing risk factor screening program conducted at worksites. RESULTS: Abdominal fatness was a strong predictor of cardiovascular complications in subjects whose WHR was in the top quintile (> 0.98 for men and > 0.91 for women). The estimated percentage rate of coronary heart disease (CHD, P < 0.01) and death (P < 0.01), myocardial infarction (P < 0.01), stroke (P < 0.01), total CVD (P < 0.001) and death (P < 0.01) increased with increasing quintile of WHR in men and women. In the highest WHR, the number of subjects exceeding a 15% risk of developing a coronary event over the next 10 y was more than two-fold greater (odds ratio (OR) 2.60 (confidence intervals (CI) 1.09-6.54) than in the lowest WHR quintiles, Similar six-year myocardial infarction (MI) risks at each quintile of WHR were observed in men in both Framingham and PROCAM models, In the overall population, CHD estimates increased with increasing quintiles of WHR with the Framingham model and an adapted model for estimating probabilities of disease in the French population of the Prevention Cardiovasculaire en Medecine du Travail (PCV-METRA) group. CONCLUSION: Abdominal deposition of fat assessed by WHR may be of strong clinical value for predicting high risk of cardiovascular events.
引用
收藏
页码:90 / 97
页数:8
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