Literature DB >> 35604521

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

Francine W H Dudfield1, John M Malouff2, Jai Meynadier1.   

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.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 35604521     DOI: 10.1007/s10899-022-10119-5

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  42 in total

1.  Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

Authors:  S Duval; R Tweedie
Journal:  Biometrics       Date:  2000-06       Impact factor: 2.571

2.  Comparisons between the South Oaks Gambling Screen and a DSM-IV-based interview in a community survey of problem gambling.

Authors:  Brian J Cox; Murray W Enns; Valerie Michaud
Journal:  Can J Psychiatry       Date:  2004-04       Impact factor: 4.356

Review 3.  The Application of an Etiological Model of Personality Disorders to Problem Gambling.

Authors:  Meredith Brown; J Sabura Allen; Nicki A Dowling
Journal:  J Gambl Stud       Date:  2015-12

4.  Reliability and Validity of Three Instruments (DSM-IV, CPGI, and PPGM) in the Assessment of Problem Gambling in South Korea.

Authors:  Ki-Joon Back; Robert J Williams; Choong-Ki Lee
Journal:  J Gambl Stud       Date:  2015-09

5.  Adaptive and maladaptive personality traits in high-risk gamblers.

Authors:  Davide Carlotta; Robert F Krueger; Kristian E Markon; Serena Borroni; Fernanda Frera; Antonella Somma; Cesare Maffei; Andrea Fossati
Journal:  J Pers Disord       Date:  2014-09-23

6.  Personality biomarkers of pathological gambling: A machine learning study.

Authors:  Antonio Cerasa; Danilo Lofaro; Paolo Cavedini; Iolanda Martino; Antonella Bruni; Alessia Sarica; Domenico Mauro; Giuseppe Merante; Ilaria Rossomanno; Maria Rizzuto; Antonio Palmacci; Benedetta Aquino; Pasquale De Fazio; Giampaolo R Perna; Elena Vanni; Giuseppe Olivadese; Domenico Conforti; Gennarina Arabia; Aldo Quattrone
Journal:  J Neurosci Methods       Date:  2017-11-01       Impact factor: 2.390

7.  Characteristics of problem gambling in a Canadian context: a preliminary study using a DSM-IV-based questionnaire.

Authors:  C M Beaudoin; B J Cox
Journal:  Can J Psychiatry       Date:  1999-06       Impact factor: 4.356

8.  Big Five personality traits and alcohol, nicotine, cannabis, and gambling disorder comorbidity.

Authors:  Genevieve F Dash; Wendy S Slutske; Nicholas G Martin; Dixie J Statham; Arpana Agrawal; Michael T Lynskey
Journal:  Psychol Addict Behav       Date:  2019-05-16

9.  Problem gambling and the five-factor model of personality: a large population-based study.

Authors:  Geir Scott Brunborg; Daniel Hanss; Rune Aune Mentzoni; Helge Molde; Ståle Pallesen
Journal:  Addiction       Date:  2016-05-05       Impact factor: 6.526

Review 10.  A Review of Personality-Targeted Interventions for Prevention of Substance Misuse and Related Harm in Community Samples of Adolescents.

Authors:  Hanie Edalati; Patricia J Conrod
Journal:  Front Psychiatry       Date:  2019-01-22       Impact factor: 4.157

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