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周亚希, 熊海, 钟怀昌, 等. 超重/肥胖和血脂异常交互作用对西藏藏族人群高血压患病风险的影响[J]. 四川大学学报(医学版), 2023, 54(3): 585-590. DOI: 10.12182/20230560504
引用本文: 周亚希, 熊海, 钟怀昌, 等. 超重/肥胖和血脂异常交互作用对西藏藏族人群高血压患病风险的影响[J]. 四川大学学报(医学版), 2023, 54(3): 585-590. DOI: 10.12182/20230560504
ZHOU Ya-xi, XIONG Hai, ZHONG Huai-chang, et al. Effect of the Interaction Between Overweight/Obesity and Dyslipidemia on the Risk of Hypertension in Tibetan Population Living in Tibet[J]. Journal of Sichuan University (Medical Sciences), 2023, 54(3): 585-590. DOI: 10.12182/20230560504
Citation: ZHOU Ya-xi, XIONG Hai, ZHONG Huai-chang, et al. Effect of the Interaction Between Overweight/Obesity and Dyslipidemia on the Risk of Hypertension in Tibetan Population Living in Tibet[J]. Journal of Sichuan University (Medical Sciences), 2023, 54(3): 585-590. DOI: 10.12182/20230560504

超重/肥胖和血脂异常交互作用对西藏藏族人群高血压患病风险的影响

Effect of the Interaction Between Overweight/Obesity and Dyslipidemia on the Risk of Hypertension in Tibetan Population Living in Tibet

  • 摘要:
      目的  探讨超重/肥胖与血脂异常可能的交互作用,为高血压患病风险与超重/肥胖、血脂异常交互作用提供一定的证据。
      方法  采用多阶段分层整群随机抽样方法,在西藏阿里地区、那曲市和山南市随机抽取研究人群,共纳入了4047名数据完整的藏族居民为调查对象,通过问卷获取调查对象的相关信息,并进行身高、体质量指数、血压测量及采集空腹静脉血等。采用多因素逻辑回归模型分析超重/肥胖和血脂异常与高血压的独立效应,分层分析和相加交互作用模型评价两因素交互作用对高血压患病风险的影响。
      结果  西藏地区藏族居民高血压、超重/肥胖和血脂异常的总患病率分别为29.3%、46.2%和40.9%,超重/肥胖〔比值比(OR)=2.151 〕和血脂异常(OR=1.240)是高血压患病的危险因素。相加交互效应评价结果显示超重/肥胖和血脂异常对高血压的加法交互作用有统计学意义(P=0.028),协同指数为1.318。
      结论  超重/肥胖和血脂异常是高血压患病的危险因素,两因素间存在相加交互作用。

     

    Abstract:
      Objective   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.
      Methods   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.
      Results   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 OR=2.151) and dyslipidemia (OR=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 (P=0.028), with the synergy index (SI) being 1.318.
      Conclusion   Overweight/obesity and dyslipidemia are risk factors for having hypertension and there is an additive interaction between dyslipidemia and overweight/obesity.

     

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