Study on influencing factors of hypertension based on logistic regression model analysis
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 re-gression 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,dia-betes,dyslipidemia,liver disease,and kidney disease were statistically significant factors influencing hyperten-sion(P＜0.05).Conclusion Cultivating healthy lifestyle habits is an effective method for preventing hyper-tension.Measures such as quitting smoking,limiting alcohol consumption,engaging in moderate exercise,get-ting sufficient rest,and managing emotions are extremely important.Especially for patients with diabetes,dys-lipidemia,or kidney disease,blood pressure monitoring and regular physical examinations should be priori-tized.
HypertensionLogistic regression model analysisInfluencing factorsHealthy lifes-tyle habitsDisease intervention
万方数据
维普
