摘要
目的探讨代谢综合征中血压组分异常的影响因素。方法针对2005年北京市18岁以上的常住居民,采用等比例多阶段整群随机抽样的方法确定监测样本,选用居民和社区两个水平拟合两水平Logistic模型,从而对代谢综合征中血压组分异常的影响因素进行探讨。结果影响血压组分异常的主要因素包括:性别、年龄、文化程度、职业、吸烟、饮酒、中心型肥胖、零食、食用油摄入量、食盐摄入量。结论采用两水平Logistic模型分析比传统的多元回归模型分析更准确。
Objective To investigate the major risk factors for hypertension as a component of metabolic syndrome in permanent residents in Beijing. Methods Randomized sampling was performed on permanent residents over 18 years of age who are from a multistage group in 2005 in Beijing. In this study there were 16 711 valid participants selected for the multilevel binomial logistic model. Results The major risk factors for hypertension of metabolic syndrome included gender, age, educational level, occupation, smoking, alcohol, central obesity, snacks, oil and salt intakes. People who were cigarette smokers, alcohol drinkers, male, at advanced age, and who have lower educational level, high pressure occupation, and central obesity, less snack food intake, more edible oil intake and more salt intake were more likely to have metabolic syndrome. When the other factors stayed still, the prevalence in men was higher than in women. Conclusion Multilevel binomial logistic models have higher accuracy than traditional multiple regression models in determining major risk factors for hypertension as a component of metabolic syndrome.
出处
《首都医科大学学报》
CAS
北大核心
2009年第4期530-533,共4页
Journal of Capital Medical University
