Zhou Ya-Xi, Xiong Hai, Zhong Huai-Chang, Wan Yang, Liao Yu-Qi
Department of Gerontology/Neurology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
School of Medicine, Tibet University, Lhasa 850000, China.
Sichuan Da Xue Xue Bao Yi Xue Ban. 2023 May;54(3):585-590. doi: 10.12182/20230560504.
To explore the possible interaction between overweight/obesity and dyslipidemia and to provide some evidence for the interaction of the risk of hypertension with overweight/obesity and dyslipidemia.
By using multi-stage stratified cluster random sampling method, the subjects of the study were randomly selected from Naqu city, Shannan city, and Ali prefecture, Tibet. A total of 4047 Tibetans with complete data were included. Investigators obtained relevant information on the subjects through questionnaire surveys, measured their height, body mass index, and blood pressure, and collected fasting venous blood samples. The multivariate logistic regression model was used to analyze the independent effects of overweight/obesity and dyslipidemia and hypertension. Stratified analysis and an additive interaction model were used to evaluate the effect of two-factor interaction on the risk of hypertension.
The overall prevalence of hypertension, overweight/obesity, and dyslipidemia among Tibetans living in Tibet was 29.3%, 46.2%, and 40.9%, respectively. Overweight/obesity (odds ratio [ ]=2.151) and dyslipidemia ( =1.240) were risk factors of hypertension. Evaluation results of the effect of additive interaction showed significant additive interaction of overweight/obesity and dyslipidemia on hypertension ( =0.028), with the synergy index ( ) being 1.318.
Overweight/obesity and dyslipidemia are risk factors for having hypertension and there is an additive interaction between dyslipidemia and overweight/obesity.
探讨超重/肥胖与血脂异常之间可能存在的相互作用,并为高血压风险与超重/肥胖及血脂异常之间的相互作用提供一些证据。
采用多阶段分层整群随机抽样方法,从西藏那曲市、山南市和阿里地区随机选取研究对象。共纳入4047名数据完整的藏族人。调查人员通过问卷调查获取研究对象的相关信息,测量其身高、体重指数和血压,并采集空腹静脉血样本。采用多因素logistic回归模型分析超重/肥胖、血脂异常与高血压的独立作用。采用分层分析和相加交互作用模型评估双因素交互作用对高血压风险的影响。
居住在西藏的藏族人群中,高血压、超重/肥胖和血脂异常的总体患病率分别为29.3%、46.2%和40.9%。超重/肥胖(比值比[ ]=2.151)和血脂异常( =1.240)是高血压的危险因素。相加交互作用效应评估结果显示,超重/肥胖与血脂异常在高血压方面存在显著的相加交互作用( =0.028),协同指数( )为1.318。
超重/肥胖和血脂异常是患高血压的危险因素,血脂异常与超重/肥胖之间存在相加交互作用。