Zhaoyuanling Zeng1, Xiaowan Wang2, Zengwu Wang3, Rui Guo3, Ruihua Feng2. 1. Institute of Medical Information, Peking Union Medical College, Beijing 100730, China. 2. Center for Health Policy and Management, Chinese Academy of Medical Sciences, Beijing 100020, China. 3. Fuwai Hospital, Chinese Academy of Medical Sciences and Division of Community Prevention, National Center for Cardiovascular Diseases, Beijing 102308, China.
Abstract
OBJECTIVE: To analyze the relationship among hypertension-relevant knowledge, attitude and behavior and to provide evidence for prevention of hypertension. Methods: A total of 5 861 employees with hypertension from 10 provinces were selected, and their data were collected by uniform questionnaires. The structural equation model was established by using LISREL version 8.7. Knowledge, attitude and behavior was set as latent variables, and the observed variables corresponding to latent variables served as explicit variables. The parametric estimation of the structural equation model is based on polyserial correlation coefficients and asymptotical covariance matrix. Results: Knowledge directly affected attitude, and the impact coefficient was 0.84; attitude directly affect behavior, and the impact coefficient was 0.38; knowledge showed indirect effect on behavior; the structural equation model fitted the data well. Conclusion: Hypertension-related knowledge significantly affect attitude, while knowledge and attitude showed slight effect on behavior. There were other factors that affected the patient's behavior. It was suggested that we should fully consider the factors for behavior in health education, and adopt more appropriate measures in hypertension control.
OBJECTIVE: To analyze the relationship among hypertension-relevant knowledge, attitude and behavior and to provide evidence for prevention of hypertension. Methods: A total of 5 861 employees with hypertension from 10 provinces were selected, and their data were collected by uniform questionnaires. The structural equation model was established by using LISREL version 8.7. Knowledge, attitude and behavior was set as latent variables, and the observed variables corresponding to latent variables served as explicit variables. The parametric estimation of the structural equation model is based on polyserial correlation coefficients and asymptotical covariance matrix. Results: Knowledge directly affected attitude, and the impact coefficient was 0.84; attitude directly affect behavior, and the impact coefficient was 0.38; knowledge showed indirect effect on behavior; the structural equation model fitted the data well. Conclusion:Hypertension-related knowledge significantly affect attitude, while knowledge and attitude showed slight effect on behavior. There were other factors that affected the patient's behavior. It was suggested that we should fully consider the factors for behavior in health education, and adopt more appropriate measures in hypertension control.