Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Department of Nutritional Sciences, The Pennsylvania State University 109 Chandlee Lab, University Park, Pennsylvania, United States of America.
PLoS One. 2018 Oct 16;13(10):e0205703. doi: 10.1371/journal.pone.0205703. eCollection 2018.
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.
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.
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<0.001). The risk of developing CVD increased when BP and WC coexisted, or when combined BP/WC with MS (≥3 components except for BP and WC) was present; however, there were no significant interactions among MS components. After the CVD hazards were divided into four levels, it was showed that over 19.92% of the incidence probability was in the population under mediate-risk while over 35.24% of them was in the high-risk group, respectively.
BP and WC were independent risk factors for CVD in the Kazakh population. The risk of CVD was greatly increased when BP and WC coexisted or when combined BP/WC with MS (≥3 components except for BP and WC) was present, but no significant interactions were found among MS components.
鲜有前瞻性研究探索代谢综合征（MS）各组分间相互作用对中国新疆哈萨克人群心血管疾病（CVD）发生的影响。
截至 2016 年 12 月，纳入了完成 5 年以上基线调查的 2644 名参与者。通过将乘积项纳入 logistic 回归模型来评估 MS 各组分间的相乘交互作用。通过计算相加交互作用指数来评估 MS 各组分间的相加交互作用。采用 logistic 回归构建预测模型，并根据未发生 CVD 的人群的风险概率对 CVD 风险水平进行划分。
在分析 MS 及其各组分对发生 CVD 的独立风险时，只有血压（BP）和腰围（WC）与 CVD 相关。发现 CVD 风险、BP/WC 与其他组分数量（趋势，P<0.001）之间呈线性关系。当 BP 和 WC 同时存在时，或当 MS（BP 和 WC 以外的其他组分≥3 个）合并 BP/WC 时，发生 CVD 的风险增加；但是，MS 各组分之间无显著交互作用。将 CVD 危害分为 4 个等级后发现，中危人群的发病概率超过 19.92%，高危人群的发病概率超过 35.24%。
BP 和 WC 是哈萨克人群 CVD 的独立危险因素。当 BP 和 WC 同时存在或当 MS（BP 和 WC 以外的其他组分≥3 个）合并 BP/WC 时，CVD 风险大大增加，但 MS 各组分之间无显著交互作用。
