A survey of health promotion behavior and its relationship with disease cognition and adverse cardiovascular events in elderly patients with chronic heart failure
Objective To investigate the changes of health promotion behavior in elderly patients with chronic heart failure,explore its relationship with disease cognition and adverse cardiovascular events,and provide a basis for guiding patients'health promotion behavior.Methods Elderly patients with chronic heart failure admitted to Cardiac Rehabilitation Center of Beijing Rehabilitation Hospital Affiliated to Capital Medical University from June 2018 to June 2023 were selected as the investigation subjects.The General Information Questionnaire,Health Promotion Lifestyle Scale(HPLP-C),Atlanta Heart Failure Knowledge Questionnaire(AHFKT),and Simple Coping Styles Questionnaire(SCSQ)were used to evaluate the basic condition,health promotion behavior,disease cognition,and coping style of the patients.Multivariate Logistic regression was used to analyze the relationship between health promotion behavior and disease cognition.The patients were followed up for 6 months,and the incidence of adverse cardiovascular events was counted and analyzed.Results A total of 803 elderly patients with chronic heart failure were included.Among them,289 patients(35.99% )reached the healthy level of health promotion behavior,and514 ones(64.01% )did not reach the healthy level.Multivariate Logistic results showed that education level(OR =8.637),per capita monthly family income(OR = 5.414),living style(OR = 3.827),type of medical insurance(OR =5.590),disease cognition(OR =4.406),coping style(OR =2.818)were all related to health promotion behavior in elderly patients with chronic heart failure(P＜0.05).Conclusion Elderly patients with chronic heart failure need to further improve their health promotion behavior.Patients'disease cognition is closely related to their health promotion behavior.Health promotion behavior can further influence the occurrence of adverse cardiovascular events in the patients.
国家科技期刊平台
NSTL
万方数据
维普
