| Autor: |
Jun Ting, Liu, Hong Yan, Yao, Shi Cheng, Yu, Jian Jun, Liu, Guang Jin, Zhu, Shao Mei, Han, Tao, Xu |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Biomedical and environmental sciences : BES. 35(1) |
| ISSN: |
2214-0190 |
| Popis: |
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.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.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,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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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