Predicting severity of coronary artery disease based on psychological distress

Abstract

Background: Empirical research has shown that psychological risk factors contribute to the risk of developing Coronary Artery Disease (CAD). The purpose of this study was to predict the severity of CAD based on psychological distress, including depression, anxiety and stress. Methods: This study was under correlation research. 462 men and women were selected through convenience sampling. Psychological distress was measured using the Depression, Anxiety and Stress Scale (DASS-21) and severity of CAD was calculated on atherosclerosis in vessels by angiography. The data were analyzed by multi variable regression. Findings: The result showed depression, anxiety and stress significantly could be predict severity of CAD (P<0/01, F(3.328) = 23/063). Multiple correlation coefficient (R Square) is 0/174.That is indicate /4 of CAD severity is clarified by psychological distress. Depression (P<0/01, β=0/263) positively and meaningful predicts CAD severity. It should be noted that regression coefficients of stress (p = 0/052, β= 0/123) and anxiety (p=0/073, β=0/110) in level of %0/520 and %0/073 are meaningful that the findings are significant and valuable. Discussion: There is meaningful positive correlation between psychological distress and severity of CAD. Therefore it is recommended, the role of psychological factors should be considered in heart disease prevention and treatment programs. Keyword: Coronary Artery Disease (CAD), Psychological Distress