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Predictive values of obesity categories for cardiovascular disease risk factors in Chinese adult population.

Abstract：

OBJECTIVE:Whether obesity categories can be used to predict cardiovascular disease (CVD) in Chinese adults remains unclear. This aim of this study was to examine the predictive values of obesity categories for CVD risk factors in Chinese adults. METHODS:This study comprised a sample size of 3480 men and 6364 women aged ≥25 years (age range 25-89 years), from the medical health check-up center of Lianyungang First People's Hospital. The following CVD risk factor outcomes were used: hypertension, diabetes, dyslipidemia, insulin resistance, and metabolic syndrome (Mets). Framingham risk scores were used to evaluate the CVD. Four categories of obesity were used, based on body mass index (BMI) and waist circumference: no risk, increased risk, high risk, and very high risk. Predictive abilities were determined by calculating the odds ratios (OR) of CVD risk. RESULTS:A graded linear relationship between obesity categories and CVD risk was observed across the categories, except for dyslipidemia. The people in the very high-risk category had the highest OR of having more unfavorable CVD risk factors compared with those in the lower risk category. For example, the OR of diabetes increased with the increase in risk category (OR, 1.13, 1.36, and 1.83, respectively, for increased, high, and very high risk categories in men and OR, 1.52, 1.80, and 2.78, respectively, for increased, high, and very high risk category in women). CONCLUSIONS:These findings suggest that obesity categories provide clinical insights into identifying multiple CVD risk factors in Chinese adults.

journal_name

J Cell Biochem

journal_title

Journal of cellular biochemistry

authors

Yin D,Yan Y,Xu N,Hui Y,Han G,Ma N,Yang C,Wang G

doi

10.1002/jcb.28002

subject

Has Abstract

pub_date

2018-11-02 00:00:00

eissn

0730-2312

issn

1097-4644

pub_type

杂志文章

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