Volume 23, Issue 5 (8-2024)
JRUMS 2024, 23(5): 452-470 |
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Shakeri S S, Khodabakhsh Pirklani R. Examining the Decision-Making Process in Depressed Patients from the Perspective of Behavioral Economics: A Review Study. JRUMS 2024; 23 (5) :452-470
URL: http://journal.rums.ac.ir/article-1-7366-en.html
URL: http://journal.rums.ac.ir/article-1-7366-en.html
Alzahra University
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Examining the Decision-Making Process in Depressed Patients from the Perspective of Behavioral Economics: A Review Study
Seyedeh Sara Shakeri[1], Roshanak Khodabakhsh Pirklani[2]
Received: 06/05/24 Sent for Revision: 18/06/24 Received Revised Manuscript: 17/07/24 Accepted: 20/07/24
Background and Objectives: Depression is associated with problems in social interaction and communication. Most of the research conducted in this field uses non-interactive tasks. The theory of economic games as a branch of behavioral economics can provide a new tool for investigating interactions and social decisions in interactive and dynamic conditions and help to better understand neuro-psychiatric disorders. In this research, the decision making of depressed people in interactive situations is investigated with a systematic review of economic game theory articles.
Methods: By systematic review method, 45 related articles from 2010 to 2023 were extracted from Scopus and Web of Science databases. After removing the duplicate articles and checking the exclusion criteria, finally, 23 articles that analyzed the decision-making process of patients with depression symptoms in economic games were analyzed.
Results: The findings showed that the performance of depression sufferers in economic games is different from the healthy group. These differences can be discussed in two groups of cognitive and social components. The cognitive component was classified into the subcomponents of theory of mind, negative cognitive schema, bias in perception, and limited cognitive processing, and the social component was classified into the subcomponents of social avoidance, social comparison and competition, and interpersonal trust.
Conclusion: Economic games may help identify suboptimal and maladaptive choices associated with depressive disorder and thus provide a powerful tool for discovering candidate cognitive and social markers of depressive disorder.
Keywords: Depression, Behavioral economics, Decision making, Economic games, Social interactions
Funding: This study did not have any funds.
Conflict of interest: None declared.
Ethical considerations: Not applicable.
Authors’ contributions:
Conceptualization: Roshanak Khodabakhsh Pirklani
- Methodology: Seyedeh Sara Shakeri
- Data collection: Seyedeh Sara Shakeri
- Formal analysis: Roshanak Khodabakhsh Pirklani, Seyedeh Sara Shakeri
- Supervision: Seyedeh Sara Shakeri
- Project administration: Roshanak Khodabakhsh Pirklani
- Writing – original draft: Seyedeh Sara Shakeri
- Writnig – review & editing: Roshanak Khodabakhsh Pirklani, Seyedeh Sara Shakeri
Seyedeh Sara Shakeri[1], Roshanak Khodabakhsh Pirklani[2]
Received: 06/05/24 Sent for Revision: 18/06/24 Received Revised Manuscript: 17/07/24 Accepted: 20/07/24
Background and Objectives: Depression is associated with problems in social interaction and communication. Most of the research conducted in this field uses non-interactive tasks. The theory of economic games as a branch of behavioral economics can provide a new tool for investigating interactions and social decisions in interactive and dynamic conditions and help to better understand neuro-psychiatric disorders. In this research, the decision making of depressed people in interactive situations is investigated with a systematic review of economic game theory articles.
Methods: By systematic review method, 45 related articles from 2010 to 2023 were extracted from Scopus and Web of Science databases. After removing the duplicate articles and checking the exclusion criteria, finally, 23 articles that analyzed the decision-making process of patients with depression symptoms in economic games were analyzed.
Results: The findings showed that the performance of depression sufferers in economic games is different from the healthy group. These differences can be discussed in two groups of cognitive and social components. The cognitive component was classified into the subcomponents of theory of mind, negative cognitive schema, bias in perception, and limited cognitive processing, and the social component was classified into the subcomponents of social avoidance, social comparison and competition, and interpersonal trust.
Conclusion: Economic games may help identify suboptimal and maladaptive choices associated with depressive disorder and thus provide a powerful tool for discovering candidate cognitive and social markers of depressive disorder.
Keywords: Depression, Behavioral economics, Decision making, Economic games, Social interactions
Funding: This study did not have any funds.
Conflict of interest: None declared.
Ethical considerations: Not applicable.
Authors’ contributions:
Conceptualization: Roshanak Khodabakhsh Pirklani
- Methodology: Seyedeh Sara Shakeri
- Data collection: Seyedeh Sara Shakeri
- Formal analysis: Roshanak Khodabakhsh Pirklani, Seyedeh Sara Shakeri
- Supervision: Seyedeh Sara Shakeri
- Project administration: Roshanak Khodabakhsh Pirklani
- Writing – original draft: Seyedeh Sara Shakeri
- Writnig – review & editing: Roshanak Khodabakhsh Pirklani, Seyedeh Sara Shakeri
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Citation: Shakeri SS, Khodabakhsh Pirklani R. Examining the Decision-Making Process in Depressed Patients from the Perspective of Behavioral Economics: A Review Study. J Rafsanjan Univ Med Sci 2024; 23 (5): 352-70. [Farsi]
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[1]- PhD Student, Dept. of Psychology, Faculty of Education and Psychology, Alzahra University, Tehran, Iran
[2]- Associate Professor Department of Psychology, Faculty of Education and Psychology Alzahra University, Tehran, Iran , ORCID: 0000-0003-0970-0698
(Corresponding Author) Tel: (021) 22259335, E-mail: rkhodabakhsh@alzahra.ac.ir
(Corresponding Author) Tel: (021) 22259335, E-mail: rkhodabakhsh@alzahra.ac.ir
Type of Study: Review Article |
Subject:
Psychiatry
Received: 2024/04/24 | Accepted: 2024/07/20 | Published: 2024/08/20
Received: 2024/04/24 | Accepted: 2024/07/20 | Published: 2024/08/20
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