摘要
目的探讨宁波市奉化区居民血脂异常、高血糖、吸烟和超重肥胖4项危险因素聚集与高血压发病的关系。方法选择宁波奉化区开展社区卫生诊断的调查数据,采用单因素和多因素Logistic回归统计方法,分析4项危险因素聚集与高血压之间的关系。结果调查人群高血压患病率32.89%,标化患病率为25.94%。年龄、性别、超重肥胖、血脂异常、高血糖和吸烟均为影响高血压发生的危险因素(x^2=6.675、138.067、36.986、20.993、6.733、5.200,P均〈0.05)。调整年龄和性别因素后,危险因素血脂异常、高血糖、吸烟和超重肥胖有1项、2项、3项和4项聚集的D尺值(95%凹)分别为1.708(1.168~2.497),2.169(1.443~3.258),1.923(1.140-3.244)和8.238(2.122—31.976)。结论调整年龄和性别因素后,随着危险因素血脂异常、高血糖、吸烟和超重肥胖聚集项数的增加,奉化区居民高血压患病风险性上升。
Objective To explore the relationship between the occurrence of hypertension and the clustering of risk factors including dyslipidemia,hyperglycemia,smoking and overweight/obesity in Fenghua residents. Methods The survey data of community health diagnosis in Fenghua District were collected, and single variate and multivariate Logistic regression were applied to analyze the relationship between hypertension occurrence and risk factors clustering. Results The prevalence and standardized prevalence rates of hypertension among residents were 32.89% and 25.94%, respectively. The risk factors that caused hypertension included age, gender, overweight/ obesity,dyslipidemia,hyperglycemia and smoking (~=6.675,138.067,36.986,20.993,6.733,5.200,Pall 〈0.05). After adjustment for the age and gender factors, OR (95% CI) values for clustering one, two, three and four risk factors that reflected the hypertension risk were 1.708 (1.168-2.497) ,2.169 (1.443-3.258), 1.923(1.140-3.244) and 8.238 ( 2.122-31.976 ), respectively. Conclusions After adjustment for age and gender factors, the hypertension risk for residents in Fenghua increases with the rising risk factors of dyslipidemia,hyperglycemia, smoking and overweight/obesity.
作者
林静洁
冯伟
竺盛波
Lin Jingjie;Feng Wei;Zhu Shengbo(Office ,Jinping Yuelin Community Health Service Center,Ningbo 315500, Zhejiang, China;Department of Chronic Diseases and Community Health, Fenghua Municipal Center for Disease Control and Prevention, Ningbo 315500, Zhejiang , China)
出处
《国际流行病学传染病学杂志》
CAS
2018年第2期112-115,共4页
International Journal of Epidemiology and Infectious Disease
关键词
高血压
危险因素
聚集
Hypertension
Risk factors
Clustering