Comparison of predictive value of cardiometabolic indices for subclinical atherosclerosis in Chinese adults

比较心血管代谢指标对中国成年人亚临床动脉粥样硬化的预测价值

阅读:1

Abstract

OBJECTIVES: Metabolic disturbances are well-known risk factors for atherosclerosis, but it remains unclear which cardiometabolic components are the predominant determinants. This study aimed to compare and identify the key determinants of carotid atherosclerosis in asymptomatic middle-aged and elderly Chinese. METHODS: A community-based cross-sectional study including 3,162 apparently healthy residents aged 37-75 years was performed from July 2008 to June 2010 in Guangzhou, China. Carotid artery intima-media thickness (IMT) was assessed by B-mode ultrasound, and increased IMT was defined as IMT>1.00 mm. Obesity indices, blood pressure, fasting blood lipids, glucose and uric acid levels were determined. Principal components factor analysis was used to extract common factors underlying 11 metabolic factors. RESULTS: Four common factors, defined as "adiposity," "blood lipids," "triglycerides/uric acid (TG/UA)" (in men) or "triglycerides/uric acid/glucose (TG/UA/Glu)" (in women), and "blood pressure," were retained for both sexes. After adjustment for potential covariates, the "adiposity" factor showed the strongest positive association with increased IMT in men. Comparing the extreme quartiles, ORs (95% CI) of increased IMT were 4.64 (2.04-10.59) at the CCA and 2.37 (1.54-3.64) at the BIF), followed by "blood pressure", the corresponding OR (95% CI) was 2.85 (1.37-5.90) at the CCA. Whereas, the four common factors showed comparable and weak relationship with increased IMTs, the ORs for quartile 4 vs. quartile 1 varied from 0.89 to 3.59 in women. CONCLUSIONS: Among the metabolic factors, "adiposity" and "blood pressure" play predominant roles in the presence of carotid atherosclerosis in men, but no key factor is identified in women.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。