基于logistic回归模型分析的高血压影响因素研究  

Study on influencing factors of hypertension based on logistic regression model analysis

作　　者：孙慧敏 王嘉伟 孙品一 樊登博 王雅宁 刘淑贤 SUN Huimin;WANG Jiawei;SUN Pinyi;FAN Dengbo;WANG Yaning;LIU Shuxian(Hebei Medical University,Shijiazhuang,Hebei 050017,China)

机构地区：[1]河北医科大学,河北石家庄050017

出　　处：《现代医药卫生》2024年第24期4167-4172,共6页Journal of Modern Medicine & Health

基　　金：河北医科大学大学生创新性实验计划项目(USIP2022245)。

摘　　要：目的采用logistic回归模型对高血压的影响因素进行分析,为预防和控制高血压提供更加准确的参考。方法抽取CHARLS(2020)中国健康与养老追踪调查数据,通过SPSS26.0统计学软件构建logistic回归模型,据此来分析高血压的相关影响因素。结果多因素logistic回归模型分析结果显示,年龄、性别、婚姻状态、教育水平、是否锻炼、现在是否吸烟、日常生活活动能力、糖尿病、血脂异常、肝脏疾病、肾脏疾病等对高血压的影响均差异有统计学意义(P<0.05)。结论培养健康的生活习惯是预防高血压的有效方法。戒烟、限酒、适量运动、充足休息和情绪管理等措施极为重要。特别是对于有糖尿病、血脂异常或肾脏疾病的患者,更应重视血压监测和定期体检。Objective To analyze the influencing factors of hypertension using a logistic regression model and provide a more accurate reference for the prevention and control of hypertension.Methods Data from the China Health and Retirement Longitudinal Study(CHARLS,2020)were extracted,and a logistic regression model was constructed using SPSS26.0 statistical software to analyze the relevant influencing factors of hypertension.Results The results of the multivariate logistic regression model analysis showed that age,gender,marital status,education level,physical exercise,current smoking status,activities of daily living,diabetes,dyslipidemia,liver disease,and kidney disease were statistically significant factors influencing hypertension(P<0.05).Conclusion Cultivating healthy lifestyle habits is an effective method for preventing hypertension.Measures such as quitting smoking,limiting alcohol consumption,engaging in moderate exercise,getting sufficient rest,and managing emotions are extremely important.Especially for patients with diabetes,dyslipidemia,or kidney disease,blood pressure monitoring and regular physical examinations should be prioritized.

关 键 词：高血压 Logistic回归模型分析 影响因素 健康生活习惯 疾病干预 

分 类 号：R195[医药卫生—卫生统计学]