관상동맥질환자의 삶의 질에 영향을 미치는 요소 = Factors explaining Quality of Life in Individuals with Coronary Artery Disease

다국어 초록 (Multilingual Abstract)

Purpose: The study was done to compare quality of life by gender, and to identify factors which explain quality of life in
individuals with coronary artery disease. Methods: For the survey, 91 individuals (53 men and 38 women) agreed to participate
in the study. Cardiovascular risk factors, systolic blood pressure, body mass index, total cholesterol, triglyceride, high
density lipoprotein-cholesterol, and low density lipoprotein-cholesterol, health behavior as well as quality of life, were measured.
Descriptive statistics, t-test, correlation and hierarchical multiple regression with SPSS WIN 12.0 were used to analyze the
data. Results: Significant gender differences were found for education, smoking status, chronic disease, perceived health
status, and quality of life within sub-dimensions. Hierarchical regression analysis showed gender (men), age, perceived
health status, cardiovascular risk scores, and health behaviors together explained 40.2% (adjusted R2) of variance in quality
of life. Conclusion: As the factors explaining quality of life in individuals with coronary artery disease have been identified
as gender (men), age, perceived health status, and health behaviors, health promotion programs designed for this population
should focus on these factors for effective behavioral modification, and consequent improvement in quality of life.

다국어 초록 (Multilingual Abstract)

Purpose: The study was done to compare quality of life by gender, and to identify factors which explain quality of life in
individuals with coronary artery disease. Methods: For the survey, 91 individuals (53 men and 38 women) agreed to participate
in the study. Cardiovascular risk factors, systolic blood pressure, body mass index, total cholesterol, triglyceride, high
density lipoprotein-cholesterol, and low density lipoprotein-cholesterol, health behavior as well as quality of life, were measured.
Descriptive statistics, t-test, correlation and hierarchical multiple regression with SPSS WIN 12.0 were used to analyze the
data. Results: Significant gender differences were found for education, smoking status, chronic disease, perceived health
status, and quality of life within sub-dimensions. Hierarchical regression analysis showed gender (men), age, perceived
health status, cardiovascular risk scores, and health behaviors together explained 40.2% (adjusted R2) of variance in quality
of life. Conclusion: As the factors explaining quality of life in individuals with coronary artery disease have been identified
as gender (men), age, perceived health status, and health behaviors, health promotion programs designed for this population
should focus on these factors for effective behavioral modification, and consequent improvement in quality of life.

참고문헌 (Reference)

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