Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

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

Addiction (Abingdon, England), Volume 111, No. 8, Year 2016

FINDINGS: Gamblers with low, moderate and severe levels of gambling problems differed significantly from non-problem gamblers in neuroticism (b = 0.16, 0.34 and 0.66, respectively, all P < 0.001) and conscientiousness (b = -0.13, -0.28 and -0.44, respectively, all P < 0.001). Moderate and severe problem gamblers differed from non-problem gamblers in agreeableness (b = -0.21, P < 0.001 and b = -0.20, P = 0.028, respectively). In addition, gambling problems were much more prevalent among men than women, and more prevalent among those who live alone, individuals without tertiary education and among those who are unemployed or on disability pension.; CONCLUSIONS: A higher level of problem gambling severity appears to be associated with higher scores on neuroticism, and with lower scores on conscientiousness and agreeableness in the Mini-International Personality Item Pool.; BACKGROUND AND AIMS: Knowledge of the personality characteristics of individuals who develop gambling problems is important for designing targeted prevention efforts. Previous studies of the relationship between the five-factor model of personality and gambling problems were based on small samples not representative of the general population. We estimated differences in neuroticism, extroversion, intellect, agreeableness and conscientiousness between non-problem gamblers and individuals with low, moderate and severe gambling problems.; DESIGN: Cross-sectional survey.Norway.; PARTICIPANTS: A total of 10 081 (51.5% female) individuals aged 16-74 years (mean age 46.5 years).; MEASURES: The Problem Gambling Severity Index, The Mini-International Personality Item Pool and demographic variables. Differences between groups of gamblers were analysed by ordinary least-squares regression models separately for each personality trait adjusting for gender, age, cohabitation, level of education and work status. © 2016 Society for the Study of Addiction.

Statistics
Citations: 42
Authors: 3
Affiliations: 4
Identifiers
Research Areas
Disability
Substance Abuse
Study Design
Cross Sectional Study
Study Approach
Quantitative
Participants Gender
Male
Female