We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Association of Chinese Visceral Adiposity Index and Carotid Atherosclerosis in Steelworkers: A Cross-Sectional Study.
- Authors
Wang, Xuelin; Si, Zhikang; Wang, Hui; Meng, Rui; Lu, Haipeng; Zhao, Zekun; Hu, Jiaqi; Wang, Huan; Chen, Jiaqi; Zheng, Yizhan; Zheng, Ziwei; Chen, Yuanyu; Yang, Yongzhong; Li, Xiaoming; Xue, Ling; Sun, Jian; Wu, Jianhui
- Abstract
The Chinese Visceral Adiposity Index (CVAI) is an indicator of visceral adiposity dysfunction used to evaluate the metabolic health of the Chinese population. Steelworkers are more likely to be obese due to their exposure to special occupational factors, and have a higher prevalence of carotid atherosclerosis (CAS). This study aimed to analyze the special relationship between CVAI and CAS among steelworkers. A total of 4075 subjects from a northern steel company were involved in the cross-sectional study. Four logistic regression models were developed to analyze the correlation between CVAI and CAS. In addition, the restricted cubic spline was applied to fit the dose–response association between CVAI and CAS risk. In the study, the prevalence of CAS was approximately 25.94%. After adjustment for potential confounders, we observed a positive correlation between CVAI and CAS risk. Compared to the first CVAI quartile, the effect value odds ratio (OR) and 95% CI in the second, third, and fourth CVAI quartile were 1.523 (1.159–2.000), 2.708 (2.076–3.533), and 4.101 (3.131–5.372), respectively. Additionally, this positive correlation was stable in all subgroups except for female. Furthermore, we also found a non-linear relationship between CVAI and CAS risk (p nonlinear < 0.05). Notably, CVAI could increase the risk of CAS when higher than 106. In conclusion, our study showed that CVAI might be a reliable indicator to identify high-risk populations of CAS among steelworkers.
- Subjects
OBESITY risk factors; STATISTICS; CAROTID artery diseases; CONFIDENCE intervals; CROSS-sectional method; MANUFACTURING industries; STEEL; SEX distribution; RESEARCH funding; LOGISTIC regression analysis; DATA analysis; ODDS ratio; ADIPOSE tissues; DOSE-response relationship in biochemistry; DISEASE risk factors
- Publication
Nutrients, 2023, Vol 15, Issue 4, p1023
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu15041023