The relationship between obesity phenotypes and cardiovascular risk in a Chinese cohort

Yueliang Hu, Shuping Zhang, Jiehui Zhao, Xueqin Deng, Isabella Tan, Mark Butlin, Alberto Avolio, Junli Zuo

Research output: Contribution to journalMeeting abstractpeer-review

Abstract

Objectives: To investigate the association between different obesity phenotypes and the risk of cardiovascular disease among Chinese men and women. Design and Methods: 10826 individuals aged 40–79 years (mean age 62.23 ± 12.0 years) were randomly selected in the eligible population and attended Jiading District Jiangqiao Community Health Service Center for clinical and laboratory exams to determine their cardiovascular risk according to ACC/AHA-ASCVD risk score. Participants were stratified by body mass index (BMI) categories and metabolic status. Dysmetabolic status was defined as having metabolic syndrome according to the definition of the Joint Interim Statement (JIS). ACC/ AHA-ASCVD risk score was calculated based on the values of Serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDLC) blood pressure, diabetes, age, gender, and smoking status. ACC/AHA-ASCVD risk score was defined as high risk when score ≥7.5% or was defined as low risk when score <7.5%. Results: Mean age and BMI of participants were 62.2 ± 12.0 years and 24.6 ± 3.4 kg/m2 respectively. The prevalence of overweight and obesity were 15.2% and 25.2% respectively. In terms of obesity phenotypes, after adjusting for confounding variables, the odds of reporting ASCVD risk was significantly higher in men (OR: 9.796, 95% CI: 5.833–16.450; p < 0.001) and women (OR: 5.821, 95% CI: 4.253–7.968; p < 0.001) with obese dysmetabolic status, in men (OR: 9.542, 95% CI: 5.991–15.197; p < 0.001) and women (OR: 4.875, 95% CI: 3.697–6.429; p < 0.001) with normal weight-dysmetabolic status, in men (OR: 7.361, 95% CI: 4.415–12.272; p < 0.001) and women (OR: 2.770, 95% CI: 2.136–3.592; p < 0.001) with overweight-normal metabolic status, compared to their counterparts with normal weight-normal metabolic status. In addition, in men the odds of reporting ASCVD risk was significantly higher with the overweight-dysmetabolic status phenotype (OR: 2.766, 95% CI: 1.418–5.394; p = 0.003) and the obese-normal metabolic status phenotype (OR: 2.830, 95% CI: 1.946–4.116; p < 0.001) compared to their counterparts with a normal weight-normal metabolic phenotype. However, there was no statistical significance among wome n. After adjusting for confounding variables, the odds of reporting ASCVD risk was significantly higher in men (OR: 3.432, 95% CI: 1.965– 5.996; p < 0.001) and women (OR: 4.647, 95% CI: 3.327–6.491; p < 0.001) with obese dysmetabolic status, compared to their counterparts with obese-normal metabolic status. In addition, the odds of reporting ASCVD risk was significantly lower in men (OR: 0.317, 95% CI: 142–0.707; p = 0.005) and women (OR: 0.487, 95% CI: 0.320–0.739; p = 0.001) with the overweightdysmetabolic status phenotype compared to their counterparts with an overweight-normal metabolic phenotype. Conclusions: Compared to those with normal weight normal metabolic status, the obese dysmetabolic individuals were likely to report the highest ASCVD risk score in both genders. When BMI category was overweight, BMI played a more important role than metabolic status, whereas when BMI category was overweight, risk was more affected by metabolic status.
Original languageEnglish
Article number54
Pages (from-to)42
Number of pages1
JournalPulse (Basel, Switzerland)
Volume7
Publication statusPublished - 2019
EventThe Pulse of Asia 2019 - Shanghai, China
Duration: 19 Apr 201920 Apr 2019

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