Presenting a Causal Model of Symptom Severity in Coronary Heart Patients based on Cognitive Regulation of Emotion and Causal Documents

The present article examines the relationship between the severity of symptoms in coronary heart patients with the cognitive regulation of emotion and causal attributions.

The sample of this research included 216 patients with coronary heart disease. To measure the severity of disease symptoms, the gender score was used, to measure the cognitive regulation of emotion, Gransafaki and Karaji (2001) questionnaire was used, and to measure causal documents, Seligman's (1979) questionnaire was used. Structural equation modeling was used to examine the assumed models and examine the relationships between these variables that were developed based on the research literature.In order to compile the causal model of the severity of disease symptoms, the correlation matrix of all the research variables was prepared and adjusted, and after the correlation matrix was prepared, the necessary calculations were performed using AMOS software, and various fitting methods were implemented for the proposed analysis model.

The results of this research showed that theproposed model has a good fit. And direct and indirect ways all affect the severity of disease symptoms.

According to the results of the research, it is possible to improve the symptoms of coronary heart disease by teaching positive emotional regulation and positive documents.