Joint Association of Metabolic Health and Obesity with Ten-Year Risk of Cardiovascular Disease among Chinese Adults.

Jun Ting LIU; Hong Yan YAO; Shi Cheng YU; Jian Jun LIU; Guang Jin ZHU; Shao Mei HAN; Tao XU

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Joint Association of Metabolic Health and Obesity with Ten-Year Risk of Cardiovascular Disease among Chinese Adults.

Author: Jun Ting LIU ¹ ; Hong Yan YAO ² ; Shi Cheng YU ² ; Jian Jun LIU ² ; Guang Jin ZHU ³ ; Shao Mei HAN ⁴ ; Tao XU ⁴
Author Information

1. Chinese Center for Disease Control and Prevention, Beijing 102206, China;Capital Institute of Pediatrics, Beijing 100020, China.
2. Chinese Center for Disease Control and Prevention, Beijing 102206, China.
3. Department of Physiopathology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine Peking Union Medical College, Beijing 100006, China.
4. Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine Peking Union Medical College, Beijing 100005, China.
Publication Type:Journal Article
Keywords: Body mass index; Cardiovascular risk; Fat mass; Metabolic health; Metabolic phenotype; Obesity
MeSH: Adipose Tissue/anatomy & histology*; Adult; Aged; Body Mass Index; Cardiovascular Diseases/etiology*; China/epidemiology*; Cross-Sectional Studies; Female; Humans; Male; Metabolic Diseases/etiology*; Middle Aged; Obesity/complications*; Phenotype; Regression Analysis; Risk Factors
From: Biomedical and Environmental Sciences 2022;35(1):13-21
CountryChina
Language:English
Abstract: OBJECTIVE:This study aims to investigate the association of metabolic phenotypes that are jointly determined by body mass index (BMI) or fat mass percentage and metabolic health status with the ten-year risk of cardiovascular disease (CVD) among Chinese adults.
METHODS:Data were obtained from a cross-sectional study. BMI and body fat mass percentage (FMP) combined with the metabolic status were used to define metabolic phenotypes. Multiple linear regression and logistic regression were used to examine the effects of metabolic phenotypes on CVD risk.
RESULTS:A total of 13,239 adults aged 34-75 years were included in this study. Compared with the metabolically healthy non-obese (MHNO) phenotype, the metabolically unhealthy non-obese (MUNO) and metabolically unhealthy obese (MUO) phenotypes defined by BMI showed a higher CVD risk [odds ratio, OR (95% confidence interval, CI): 2.34 (1.89-2.89), 3.45 (2.50-4.75), respectively], after adjusting for the covariates. The MUNO and MUO phenotypes defined by FMP showed a higher CVD risk [ OR (95% CI): 2.31 (1.85-2.88), 2.63 (1.98-3.48), respectively] than the MHNO phenotype. The metabolically healthy obese phenotype, regardless of being defined by BMI or FMP, showed no CVD risk compared with the MHNO phenotype.
CONCLUSION:General obesity without central obesity does not increase CVD risk in metabolically healthy individuals. FMP might be a more meaningful factor for the evaluation of the association of obesity with CVD risk. Obesity and metabolic status have a synergistic effect on CVD risk.