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Metabolically healthy obese phenotype and risk of cardiovascular disease: Results from the China Health and Retirement Longitudinal Study.

Authors :
Li, Haibin
He, Dian
Zheng, Deqiang
Amsalu, Endawoke
Wang, Anxin
Tao, Lixin
Guo, Jin
Li, Xia
Wang, Wei
Guo, Xiuhua
Source :
Archives of Gerontology & Geriatrics. May2019, Vol. 82, p1-7. 7p.
Publication Year :
2019

Abstract

Highlights • 10.05% of Chinese adults was metabolically healthy obese. • Metabolically healthy obese increased the risk of cardiovascular disease. • This association was similar both in age group, sex, and resident area. Abstract Background Epidemiologic evidence on metabolically healthy obese (MHO) phenotype and cardiovascular diseases (CVD) risk remains controversial. Aims We aim to examine the relationship between MHO and risk of CVD among the Chinese population. Methods The China Health and Retirement Longitudinal Study is a prospective cohort study of 7849 participants aged ≥45 years without CVD at baseline. Metabolic health status was assessed based on blood pressure, triglycerides, high-density lipoprotein cholesterol, glycated hemoglobin, fasting glucose, and C-reactive protein. A cutoff point of body mass index of 24.0 kg/m2 was used to define over-weight/obesity (≥24.0 kg/m2) or normal weight (<24.0 kg/m2). CVD was based on self-reported doctor's diagnosis of heart problems and stroke. Incidence rate ratio (IRR) with 95% confidence interval (CI) was deduced from modified Poisson regression. Results During a mean 3.6 years of follow-up, 880 incident CVD events were recorded. 789 (10.05%) were identified MHO among 3321 (42.3%) obese individuals. Compared with metabolically healthy normal weight individuals, the multivariable adjusted IRR of CVD was 1.33 (95%CI: 1.19–1.49) for MHO, 1.29 (95%CI: 1.22–1.38) for metabolically unhealthy normal weight, and 1.61 (95%CI: 1.51–1.75) for metabolically unhealthy obese in the full adjusted model. Conclusions MHO individuals are associated with the increased risk of cardiovascular diseases among the Chinese population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01674943
Volume :
82
Database :
Academic Search Index
Journal :
Archives of Gerontology & Geriatrics
Publication Type :
Academic Journal
Accession number :
135708402
Full Text :
https://doi.org/10.1016/j.archger.2019.01.004