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Predictive values of obesity categories for cardiovascular disease risk factors in Chinese adult population
Author(s) -
Yin Dong,
Yan Yongxin,
Xu Ning,
Hui Yuan,
Han Guanjun,
Ma Ning,
Yang Chuanhui,
Wang Guofeng
Publication year - 2019
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.28002
Subject(s) - medicine , dyslipidemia , obesity , framingham risk score , body mass index , metabolic syndrome , risk factor , waist , diabetes mellitus , odds ratio , disease , demography , population , gerontology , environmental health , endocrinology , sociology
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.