Volume 5, Issue 4 (Spring 2000)                   IJPCP 2000, 5(4): 37-43 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

. Gharaii B, Mehryar A, Mehrabi F. Attribution Style in Patients with Anxiety and Depression Comorbidity. IJPCP 2000; 5 (4) :37-43
URL: http://ijpcp.iums.ac.ir/article-1-1787-en.html
1- Tehran Psychiatric Institute
Abstract:   (10995 Views)

  Objective : The present study is investigating the attribution style in patients with the anxiety and depression comorbidity. Method: Subjects are 26 patients with major depression, 25 patients with generalized anxiety disorder, 17 patients with comorbidity of anxiety and depression, and 30 normal individuals. The aparatus used in the study for data collecting were Beck Depression Inventory, Beck Anxiety Inventory, Hamilton Depression Rating Scale, and Attribution Style Questionnaire. Findings: This result indicated that the patient group with the anxiety and depression are different in attribution style than compared with the other groups, and be distinguished considered as having their specific style of attribution. In other words, general attribution style for failures unsuccesses and specific attribution style for success is their distinguished feature from the generalized anxiety disorder group, and flexible attribution style, for success is their distinguished feature from the group with major depression. The main feature of this group is their specific attribution style .

Full-Text [PDF 3239 kb]   (3327 Downloads)    
Type of Study: Original Research | Subject: Psychiatry and Psychology
Received: 2012/12/23 | Published: 2000/05/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Psychiatry and Clinical Psychology

Designed & Developed by : Yektaweb