Predictors of Quality of Life Quality of Adults with Coronary Artery Disease (CAD)

Abstract

Quality of Life is as a predictor of general wellbeing that is an important outcome in the treatment of any chronic disease. Impaired quality of life has increasingly become the most significant health outcome for CAD patients. The purpose of this study was to identify the predictor of quality of life of adults with CAD Patients. A descriptive cross-sectional study was conducted with sample of 125 participants of age between 35 to 64 years from RSUP. Dr. M. Djamil Hospital, Padang, West Sumatera, Indonesia. Each participant was administrated structured questionnaires, including the socio-demographic questionnaire, the CADE-Q questionnaire, Social Support questionnaire, general health perception, and the World Health Organization Quality of Life-BREF (WHOQOL-BREF). A regression model showed that Income, Duration of CAD, and general health perception were the predictors of patient’s quality of life (Adjusted R2 = .031, p < .01). Better understanding of the relationship between its predictor and quality of life is necessary to develop a suitable nursing intervention program to enhance patient’s quality of life.

Efficacy of Medical Adherence on Quality of Life Among Cardiac Patients

“…In various Studies 23,24 it has been the men's scores were significantly higher than the females' in all four domains of QoL among cardiac disease, although such results were inconsistent with the present study. In the present study findings, age and gender did not statistically significant relationship with any of the study variables (QOL and its domain, medical adherence and overall satisfaction with health scores), consistent findings were also reported by Zuriati et al 19 in which age and gender were not associated with QOL.…”

“…A study done by Lee 18 , reported that adherence to lifestyle modification tended to be higher in females and those who were less educated and lifestyle medication factors such as a low salt diet, regular exercise, drinking alcohol and smoking cessation were associated with higher medical adherence, however in the present study, only level of physical activity was associated. A study done by Zuriati et al 19,20 reported that educational status, income and occupation were significantly associated with QOL but such findings were not reported by the present study, however, the domains of QOL (Physical, social and environmental) were associated with educational status which indicates that participants with a higher level of education were more likely to have a better quality of life in terms Physical, social and environmental domain. Present findings indicate that QOL was significantly associated with sociodemographic variables like marital status, this indicates that married people have a support system as a life partner, and consistent results were also reported by Zuriati et al 19 and Hung et al(2010) 21 and they concluded that the support system had a significant direct impact on quality of life and decreased the readmission rate among CAD patients.…”

“…A study done by Zuriati et al 19,20 reported that educational status, income and occupation were significantly associated with QOL but such findings were not reported by the present study, however, the domains of QOL (Physical, social and environmental) were associated with educational status which indicates that participants with a higher level of education were more likely to have a better quality of life in terms Physical, social and environmental domain. Present findings indicate that QOL was significantly associated with sociodemographic variables like marital status, this indicates that married people have a support system as a life partner, and consistent results were also reported by Zuriati et al 19 and Hung et al(2010) 21 and they concluded that the support system had a significant direct impact on quality of life and decreased the readmission rate among CAD patients. Luttik et al 22 also concluded regarding supportive resources that help participants in adaptation and survival among cardiac patients.…”

“…Luttik et al 22 also concluded regarding supportive resources that help participants in adaptation and survival among cardiac patients. Zuriati et al 19 concluded that income had a positive impact on quality of life and its domains (physical and environment) whereas occupation was associated with all three domains of quality of life except psychological and it reflects that the employed participants were more likely to have a higher quality of life than those who were unemployed but the present study didn't report as such. In various Studies 23,24 it has been the men's scores were significantly higher than the females' in all four domains of QoL among cardiac disease, although such results were inconsistent with the present study.…”