Literature DB >> 21432223

BMI, waist circumference, and clustering of cardiovascular risk factors in Japanese adults.

Machi Suka1, Yuichi Miwa, Yoshiki Ono, Hiroyuki Yanagisawa.   

Abstract

OBJECTIVE: To examine whether the association between waist circumference (WC) and clustering of cardiovascular risk factors varies with obesity (BMI) status.
METHODS: Using the 2008 health examination data of a Japanese health service association, eligible 57,141 adults aged 20-65 years without coronary heart disease or stroke, whose blood sample had been taken in the fasting state, were enrolled in the study. The participants were classified as being underweight (BMI <18.5), normal weight (BMI 18.5-24.9), and overweight (BMI ≥25.0). Multiple logistic regression analysis was performed to calculate adjusted odds ratios (OR) for clustering of cardiovascular risk factors. Receiver operating characteristic analysis was performed to assess the ability of WC to discriminate subjects with and without a clustering of cardiovascular risk factors.
RESULTS: Clustering of cardiovascular risk factors was found in 16.0% of men and 3.4% of women. The adjusted OR [95% confidence intervals (CI)] per 5-cm increase in WC of the underweight, normal weight, and overweight groups was 1.57 (1.12-2.20), 1.55 (1.49-1.62), and 1.34 (1.30-1.38), respectively, for men and 1.50 (0.84-2.69), 1.53 (1.40-1.68), and 1.32 (1.23-1.41), respectively, for women. The area under curve (95% CI) of the underweight, normal weight, and overweight groups was 0.68 (0.59-0.77), 0.70 (0.69-0.71), and 0.62 (0.61-0.63), respectively, for men and 0.70 (0.53-0.86), 0.75 (0.73-0.78), and 0.64 (0.61-0.68), respectively, for women.
CONCLUSION: High WC was associated with increased risk of clustering of cardiovascular risk factors independent of BMI. As well as the magnitude of the association, the ability of WC to discriminate subjects with and without a clustering of cardiovascular risk factors varied with obesity (BMI) status.

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Mesh:

Year:  2010        PMID: 21432223      PMCID: PMC3047660          DOI: 10.1007/s12199-010-0169-7

Source DB:  PubMed          Journal:  Environ Health Prev Med        ISSN: 1342-078X            Impact factor:   3.674


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