The Association Between the Five-factor Model of Personality and Problem Gambling: a Meta-analysis

Overview

Journal J Gambl Stud

Date 2022 May 23

PMID 35604521

Authors

Francine W H Dudfield

John M Malouff

Jai Meynadier

Affiliations

Soon will be listed here.

Abstract

This meta-analysis examined the associations between five-factor personality model traits and problem gambling. To be eligible for inclusion in the meta-analysis, studies had to provide effect size data that quantified the magnitude of the association between all five personality traits and problem gambling. Studies also had to use psychometrically sound measures. The meta-analysis included 20 separate samples from 19 studies and 32,222 total participants. The results showed that problem gambling was significantly correlated with the five-factor model of personality. The strongest personality correlate of problem gambling was neuroticism r = .31, p = < 0.001, 95% CI [0.17, 0.44], followed by conscientiousness r = - .28, p = < 0.001, 95% CI [-0.38,-0.17] ), agreeableness r = - .22, p = < 0.001, 95% CI [-0.34, - 0.10], openness r = - .17, p = < 0.001, 95% CI [-0.22,-0.12], and extraversion r = - .11, p = .024, 95% CI [-0.20,-0.01]. These results suggest problem gamblers tend to share a common personality profile - one that could provide clues as to the most effective ways to prevent and to treat problem gambling.

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References

Moher D, Liberati A, Tetzlaff J, Altman D . Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009; 6(7):e1000097. PMC: 2707599. DOI: 10.1371/journal.pmed.1000097. View

Ramos-Grille I, Goma-I-Freixanet M, Aragay N, Valero S, Valles V . Predicting treatment failure in pathological gambling: the role of personality traits. Addict Behav. 2015; 43:54-9. DOI: 10.1016/j.addbeh.2014.12.010. View

Gotestam K, Johansson A, Wenzel H, Simonsen I . Validation of the lie/bet screen for pathological gambling on two normal population data sets. Psychol Rep. 2005; 95(3 Pt 1):1009-13. DOI: 10.2466/pr0.95.3.1009-1013. View

Hwang J, Shin Y, Lim S, Park H, Shin N, Jang J . Multidimensional comparison of personality characteristics of the Big Five model, impulsiveness, and affect in pathological gambling and obsessive-compulsive disorder. J Gambl Stud. 2011; 28(3):351-62. DOI: 10.1007/s10899-011-9269-6. View

McCrae R, Costa Jr P . Personality trait structure as a human universal. Am Psychol. 1997; 52(5):509-16. DOI: 10.1037//0003-066x.52.5.509. View

Kaare P, Mottus R, Konstabel K . Pathological gambling in Estonia: relationships with personality, self-esteem, emotional States and cognitive ability. J Gambl Stud. 2009; 25(3):377-90. DOI: 10.1007/s10899-009-9119-y. View

Grant J, Steinberg M, Kim S, Rounsaville B, Potenza M . Preliminary validity and reliability testing of a structured clinical interview for pathological gambling. Psychiatry Res. 2004; 128(1):79-88. DOI: 10.1016/j.psychres.2004.05.006. View

Goodie A, MacKillop J, Miller J, Fortune E, Maples J, Lance C . Evaluating the South Oaks Gambling Screen with DSM-IV and DSM-5 criteria: results from a diverse community sample of gamblers. Assessment. 2013; 20(5):523-31. PMC: 4504425. DOI: 10.1177/1073191113500522. View

Lesieur H, Blume S . The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers. Am J Psychiatry. 1987; 144(9):1184-8. DOI: 10.1176/ajp.144.9.1184. View

10.

Dash G, Slutske W, Martin N, Statham D, Agrawal A, Lynskey M . Big Five personality traits and alcohol, nicotine, cannabis, and gambling disorder comorbidity. Psychol Addict Behav. 2019; 33(4):420-429. PMC: 7269105. DOI: 10.1037/adb0000468. View

11.

Hofmarcher T, Romild U, Spangberg J, Persson U, Hakansson A . The societal costs of problem gambling in Sweden. BMC Public Health. 2020; 20(1):1921. PMC: 7747412. DOI: 10.1186/s12889-020-10008-9. View

12.

Cerasa A, Lofaro D, Cavedini P, Martino I, Bruni A, Sarica A . Personality biomarkers of pathological gambling: A machine learning study. J Neurosci Methods. 2017; 294:7-14. DOI: 10.1016/j.jneumeth.2017.10.023. View

13.

Muller K, Beutel M, Egloff B, Wolfling K . Investigating risk factors for Internet gaming disorder: a comparison of patients with addictive gaming, pathological gamblers and healthy controls regarding the big five personality traits. Eur Addict Res. 2013; 20(3):129-36. DOI: 10.1159/000355832. View

14.

Tang C, Wu A, Tang J, Yan E . Reliability, validity, and cut scores of the south oaks gambling screen (SOGS) for Chinese. J Gambl Stud. 2009; 26(1):145-58. PMC: 2953627. DOI: 10.1007/s10899-009-9147-7. View

15.

Carlotta D, Krueger R, Markon K, Borroni S, Frera F, Somma A . Adaptive and maladaptive personality traits in high-risk gamblers. J Pers Disord. 2014; 29(3):378-92. DOI: 10.1521/pedi_2014_28_164. View

16.

Wortman J, Lucas R, Donnellan M . Stability and change in the Big Five personality domains: evidence from a longitudinal study of Australians. Psychol Aging. 2012; 27(4):867-74. DOI: 10.1037/a0029322. View

17.

Wardle H, McManus S . Suicidality and gambling among young adults in Great Britain: results from a cross-sectional online survey. Lancet Public Health. 2021; 6(1):e39-e49. PMC: 7788474. DOI: 10.1016/S2468-2667(20)30232-2. View

18.

Zilberman N, Yadid G, Efrati Y, Neumark Y, Rassovsky Y . Personality profiles of substance and behavioral addictions. Addict Behav. 2018; 82:174-181. DOI: 10.1016/j.addbeh.2018.03.007. View

19.

Widinghoff C, Berge J, Wallinius M, Billstedt E, Hofvander B, Hakansson A . Gambling Disorder in Male Violent Offenders in the Prison System: Psychiatric and Substance-Related Comorbidity. J Gambl Stud. 2018; 35(2):485-500. PMC: 6517603. DOI: 10.1007/s10899-018-9785-8. View

20.

Stinchfield R . Reliability, validity, and classification accuracy of the South Oaks Gambling Screen (SOGS). Addict Behav. 2002; 27(1):1-19. DOI: 10.1016/s0306-4603(00)00158-1. View