Literature DB >> 19289960

Waist-height ratio as a predictor of coronary heart disease among women.

John H Page1, Kathryn M Rexrode, Frank Hu, Christine M Albert, Claudia U Chae, Joann E Manson.   

Abstract

BACKGROUND: It is not yet established what specific measures of obesity might be most strongly associated with risk of coronary artery disease. We compared the waist-height ratio to waist-hip ratio, waist circumference, and body mass index as predictors of subsequent coronary heart disease (CHD) in a group of predominantly postmenopausal women.
METHODS: The data come from the prospective Nurses' Health Study cohort. We included 45,563 women in 1986 who were aged 40-65 years and were free of heart disease, stroke, and cancer. Waist circumference, hip circumference, height, weight, age, and other covariates were collected by questionnaire. Our primary end point was incident coronary heart disease reported up to June 2002. Areas under the receiver operating characteristic curves (AUCs) were estimated nonparametrically for each of the anthropometric measures. We estimated differences between the AUCs for weight-height ratio and the other measures, with corresponding 95% confidence intervals. We used Cox proportional hazard models to estimate the relationships with risk of CHD.
RESULTS: Waist-height ratio, waist-hip ratio, and waist circumference were similar in predicting subsequent risk of CHD. All 3 waist-derived measures were superior to body-mass index (BMI) in predicting CHD. The unadjusted AUCs were 0.62 (95% confidence interval = 0.60-0.64) for waist-height ratio, 0.63 (0.61-0.65) for waist-hip ratio, 0.62 (0.60-0.64) for waist-circumference, and 0.57 (0.55-0.59) for BMI.
CONCLUSION: Waist-height ratio is comparable with waist circumference and waist-hip ratio for prediction of coronary heart disease incidence among middle-aged and older women, but superior to BMI.

Entities:  

Mesh:

Year:  2009        PMID: 19289960      PMCID: PMC4012298          DOI: 10.1097/EDE.0b013e31819f38f1

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


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