Sukhee Ahn1, Rhayun Song2, Si Wan Choi3. 1. College of Nursing, Chungnam National University, Daejeon, South Korea. 2. College of Nursing, Chungnam National University, Daejeon, South Korea. Electronic address: songry@cnu.ac.kr. 3. College of Medicine, Chungnam National University, Daejeon, South Korea.
Abstract
PURPOSE: The project was to test a structural equation model in which self-efficacy, self-care health behaviors, and modifiable risk factors predict the quality of life (QOL) of individuals with coronary artery disease. METHODS: The data set from the intervention study with 130 patients with coronary artery disease before the intervention was included in the secondary analysis for this study. The following parameters were measured: self-efficacy, self-care health behaviors with the subscales of health responsibility, exercise, consumption of a healthy diet, stress management, and smoking cessation; modifiable risk score; and QOL (assessed using the 36-item Short-Form Health Survey instrument). RESULTS: The mean age of the participants was 66.1 years. The following evaluation parameters indicated that the proposed model provided a good fit to the data: comparative fit index at .87, goodness of fit index at .91, adjusted goodness of fit index at .84, standardized root mean square residual at .06, root mean square error of estimation at .09, and confidence interval at 0.06-0.13. Self-efficacy, self-care health behaviors, and modifiable risk factors had significant effects on QOL and explained 64.0% of the variance, with modifiable risk factors mediating between self-care health behaviors and QOL. CONCLUSIONS: The findings indicate that self-efficacy, self-care health behaviors, and modifiable risk factors play an important role in QOL in adults with coronary artery disease. Patients could be more confident in performing self-care health behaviors, leading to a better QOL, by more effectively managing their cardiovascular risk factors. Nursing strategies to improve QOL in this population should include motivating them to perform self-care health behaviors.
PURPOSE: The project was to test a structural equation model in which self-efficacy, self-care health behaviors, and modifiable risk factors predict the quality of life (QOL) of individuals with coronary artery disease. METHODS: The data set from the intervention study with 130 patients with coronary artery disease before the intervention was included in the secondary analysis for this study. The following parameters were measured: self-efficacy, self-care health behaviors with the subscales of health responsibility, exercise, consumption of a healthy diet, stress management, and smoking cessation; modifiable risk score; and QOL (assessed using the 36-item Short-Form Health Survey instrument). RESULTS: The mean age of the participants was 66.1 years. The following evaluation parameters indicated that the proposed model provided a good fit to the data: comparative fit index at .87, goodness of fit index at .91, adjusted goodness of fit index at .84, standardized root mean square residual at .06, root mean square error of estimation at .09, and confidence interval at 0.06-0.13. Self-efficacy, self-care health behaviors, and modifiable risk factors had significant effects on QOL and explained 64.0% of the variance, with modifiable risk factors mediating between self-care health behaviors and QOL. CONCLUSIONS: The findings indicate that self-efficacy, self-care health behaviors, and modifiable risk factors play an important role in QOL in adults with coronary artery disease. Patients could be more confident in performing self-care health behaviors, leading to a better QOL, by more effectively managing their cardiovascular risk factors. Nursing strategies to improve QOL in this population should include motivating them to perform self-care health behaviors.