Predictive values of obesity categories for cardiovascular disease risk factors in Chinese adult population. Issue 5 (2nd November 2018)

• Record Type: Journal Article
• Authors: Yin, Dong; Yan, Yongxin; Xu, Ning; Hui, Yuan; Han, Guanjun; Ma, Ning; Yang, Chuanhui; Wang, Guofeng
• Is Part Of: Journal of cellular biochemistry. Volume 120:Issue 5(2019)
• Page Start: 7276
• Page End: 7285
• Publication Date: 2018-11-02
• Subjects: body mass index (BMI) -- cardiovascular risk factor -- obesity categories -- waist circumference (WC); Cytochemistry -- Periodicals; 572
• DOI: 10.1002/jcb.28002
• Languages: English
• ISSNs: 0730-2312

Abstract

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.