This study examines the role of illness perception to explain post-CHD depression. Hence, 245 patients (143 CABG and 102 PCI) of Tehran Heart Centre were chosen through convenience sampling who completed BDI-PC and IPQ (short form). Five models emerged from multivariable regression with forward method. From top to down, variables, including affective responses, identity, personal control, time-line, and illness, had the most beta coefficient consequences in predicting depression. These variables totally predicted 43.8 percent of the post-CHD depression variance. Therefore, cognitive evaluation is necessary when physicians examine CHD patients. This led to appropriate cognitive interventions to prevent post-CHD depression. © 2011 Published by Elsevier Ltd.
Monirpoor, N., Besharat, M. A., Khoosfi, H., & Karimi, Y. (2012). The role of illness perception in predicting post-CHD depression in patients under CABG and PCI. In Procedia - Social and Behavioral Sciences (Vol. 32, pp. 74–78). Elsevier Ltd. https://doi.org/10.1016/j.sbspro.2012.01.013