Volume 6, Issue 2 (Spring 2018- 2018)                   PCP 2018, 6(2): 83-92 | Back to browse issues page

XML Print

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

Moosavian E, Nejati S F. Association Between Facial Affect Recognition and Maladaptive Schema in People With Depressive Symptoms. PCP 2018; 6 (2) :83-92
URL: http://jpcp.uswr.ac.ir/article-1-473-en.html
1- Department of Clinical Psychology, School of Education and Psychology, Shiraz University, Shiraz, Iran. , elham_moosavian@yahoo.com
2- Department of Clinical Psychology, School of Education and Psychology, Shiraz University, Shiraz, Iran.
Abstract:   (3675 Views)

Objective: Depressed patients harbor maladaptive schemas that distort social reality and impaired facial expression recognition. Thus, this study aims at identifying specific associations among depressive symptoms, early maladaptive schemas, and patterns of for recognizing facially expressed emotions.
Methods: 100 subjects diagnosed with depressive symptoms were selected from a larger statistical population on the basis of purposive sampling. The Schema Questionnaire - Short Form, the Beck Depression Inventory, and the facial affect recognition test were administered to the subjects. The binomial regression model was used.
Results: Statistical analysis indicated that some early maladaptive schemas and depression exerted significant effects on the recognition of fear and neutral emotions. Depression also led to improved recognition of sadness and anger.
Conclusion: We concluded that maladaptive schemas and impairments in emotion recognition are interrelated and both domains are likely to contribute to depressive symptoms. The results are expected to improve our understanding of the social cognitive deficits in depressed patients at the schema and emotion recognition levels.

Full-Text [PDF 647 kb]   (1815 Downloads) |   |   Full-Text (HTML)  (1536 Views)  
Type of Study: Research | Subject: Approach to biological neural
Received: 2017/04/27 | Accepted: 2017/10/30 | Published: 2018/04/1

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

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

Designed & Developed by : Yektaweb