A biopsychosocial model for depressive symptoms following acute coronary syndromes

A partial latent structural regression analysis was used to evaluate the influence of perceived stress and coping resources on depression following acute coronary syndromes (ACS) in a sample of 113 participants (25 females and 88 males with a mean age of 57.61 years (SD = 12.63). Out of them, 55 participants were Australian born and 48 were born elsewhere, with 53 of the patients scoring in the mild to high depression range on the Beck Depression Inventory and the Cardiac Depression Scale. Perceived stress and coping resources, after controlling for age and smoking explained 89% of the variance in the latent variable depression. Higher perceived stress levels and fewer coping resources predicted higher levels of depression. Higher levels of perceived stress predicted fewer coping resources and fewer coping resources predicted higher levels of depression. There was a significant direct and indirect effect of perceived stress through coping on depression. Cognitive and physical coping resources were the best predictors of the depression construct. These results have potential implications for the treatment of depression post-ACS. In particular, cognitive and physical coping mechanisms and perceived stress reduction need to be addressed when treating depression post-ACS