Impact of interactions among metabolic syndrome components on the development of cardiovascular disease among Kazakhs in Xinjiang

Wenwen Yang, Xiang Gao, Xianghui Zhang, Yunhua Hu, Heng Guo, Kui Wang, Yizhong Yan, Jia He, Jingyu Zhang, Jiaolong Ma, Lei Mao, Lati Mu, Jiaming Liu, Shugang Li, Yusong Ding, Mei Zhang, Rulin Ma and Shuxia Guo

PLOS ONE, 2018, vol. 13, issue 10, 1-12

Abstract: Background: Few prospective studies have explored the effect of interactions among metabolic syndrome (MS) components on the development of cardiovascular disease (CVD) in the Kazakh population in Xinjiang Province of China. Method: As of December 2016, 2,644 participants who completed a baseline survey over a period of 5 years or more were included in the study. The multiplicative interactions among MS components were evaluated by incorporation of the product terms into a logistic regression model. The additive interactions among MS components were evaluated by calculating the additive interaction index. Logistic regression was used to construct a predictive model, and CVD risk level was divided according to the risk probability of the population that did not eventually have CVD. Results: When we analyzed the independent risk of MS and its components on developing CVD, only blood pressure(BP) and waist circumference(WC) were associated with CVD. A linear association was found between the risk of CVD, BP/WC, and the number of other components (trend, P

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0205703

DOI: 10.1371/journal.pone.0205703

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