» Articles » PMID: 36141271

Decision Making in Addictive Behaviors Based on Prospect Theory: A Systematic Review

Overview
Specialty Health Services
Date 2022 Sep 23
PMID 36141271
Authors
Affiliations
Soon will be listed here.
Abstract

Traditionally, research on addictive behaviors has been based on the study of their risk factors, with impulsivity being the main risk factor. However, this study aims to approach this topic from the analysis of decision making. According to the prospect theory, low levels of loss and risk aversion will increase the probability of showing addictive behaviors. A systematic review of the possible relationships between these behaviors and prospect theory was carried out. To this end, the works that have studied loss and risk aversion in populations with addictive behaviors to date (N = 15) were compiled. Apart from other eligibility criteria, the selection process was only performed with studies that included the prospect theory or cumulative prospect theory, in English or Spanish, since 1979. WoS, Scopus, Dialnet and PsycInfo were the information sources selected. For this purpose, PRISMA guidelines have been followed. It was found that users of addictive substances show less loss aversion than nonusers. These results cannot be transferred to pathological gamblers. The significance of this work for future research and the implementation of prevention and intervention programs is highlighted. The results show an approach to addictions from a novel perspective.

Citing Articles

How "Light" Is "Light Smoking"? On the Cognitive Power of Nicotine Dependence.

Enrico P, Zorzi F, Fanari R, Uccula A, Mercante B Behav Sci (Basel). 2024; 14(11).

PMID: 39594375 PMC: 11591032. DOI: 10.3390/bs14111075.


When Games Influence Words: Gaming Addiction among College Students Increases Verbal Aggression through Risk-Biased Drifting in Decision-Making.

Teng H, Zhu L, Zhang X, Qiu B Behav Sci (Basel). 2024; 14(8).

PMID: 39199095 PMC: 11352047. DOI: 10.3390/bs14080699.


Exploring the Loss Aversion Scale's psychometric properties in Spain.

Cabedo-Peris J, Merino-Soto C, Chans G, Marti-Vilar M Sci Rep. 2024; 14(1):15756.

PMID: 38977734 PMC: 11231173. DOI: 10.1038/s41598-024-66695-6.


Influence of reinforcement learning on the inhibitory control of Internet gaming disorder.

Zhang M, Zhao C, Zhang M, Mao S, Yang M, Mao Z Psych J. 2024; 13(6):966-978.

PMID: 38965885 PMC: 11608794. DOI: 10.1002/pchj.772.


How to promote the hierarchical diagnosis and treatment system: A tripartite evolutionary game theory perspective.

Tao C, Chen X, Zheng W, Zhang Z, Tao R, Deng R Front Psychol. 2023; 13:1081562.

PMID: 36687941 PMC: 9849701. DOI: 10.3389/fpsyg.2022.1081562.


References
1.
Goodie A, Fortune E . Measuring cognitive distortions in pathological gambling: review and meta-analyses. Psychol Addict Behav. 2013; 27(3):730-43. DOI: 10.1037/a0031892. View

2.
Meade C, Addicott M, Hobkirk A, Towe S, Chen N, Sridharan S . Cocaine and HIV are independently associated with neural activation in response to gain and loss valuation during economic risky choice. Addict Biol. 2017; 23(2):796-809. PMC: 6706251. DOI: 10.1111/adb.12529. View

3.
Martino F, Caselli G, Fiabane E, Felicetti F, Trevisani C, Menchetti M . Desire thinking as a predictor of drinking status following treatment for alcohol use disorder: A prospective study. Addict Behav. 2019; 95:70-76. DOI: 10.1016/j.addbeh.2019.03.004. View

4.
Fernandez-Serrano M, Cesar Peraleslopez J, Moreno-Lopez L, Santos-Ruiz A, Perez-Garcia M, Verdejogarcia A . [Impulsivity and compulsivity in cocaine dependent individuals]. Adicciones. 2012; 24(2):105-13. View

5.
dAstous A, Di Gaspero M . Heuristic and analytic processing in online sports betting. J Gambl Stud. 2014; 31(2):455-70. DOI: 10.1007/s10899-013-9438-x. View