Purpose: The present article examines the 
relationship between the severity of symptoms in 
coronary heart patients with the cognitive regulation 
of emotion and causal attributions.
Materials and Methods: 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.
Findings: The results of this research showed that the
proposed model has a good fit. And direct and 
indirect ways all affect the severity of disease 
symptoms.
Conclusion: 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.