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Risk of problem gambling among occupational groups: A population and registry study

AIMS: To identify which occupational groups have elevated levels of regular gambling participation and at-risk and problem gambling, and to explore job-specific factors associated with elevated levels. METHODS: Statistical analyses were performed on data from the 2015 Swedish population study on gam...

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Detalles Bibliográficos
Autores principales: Binde, Per, Romild, Ulla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899259/
https://www.ncbi.nlm.nih.gov/pubmed/35308321
http://dx.doi.org/10.1177/1455072519899779
Descripción
Sumario:AIMS: To identify which occupational groups have elevated levels of regular gambling participation and at-risk and problem gambling, and to explore job-specific factors associated with elevated levels. METHODS: Statistical analyses were performed on data from the 2015 Swedish population study on gambling and health. The principal registry variable was occupation, classified according to the Swedish version of the International Standard Classification of Occupations (ISCO-08). Two gambling variables were studied: regular gambling participation and at-risk and problem gambling, as measured by the Problem Gambling Severity Index (PGSI). For statistical regression analyses, socio-demographic data were used such as gender, income, and country of origin. RESULTS: We found significant differences between occupational groups with regard to the two gambling variables. In general, manual jobs with predominantly male workers scored high, especially when there was no fixed workplace. Several significant differences remained when we controlled for gender. We also found support for three types of workers having elevated levels on the gambling variables: (1) building, construction and service, mobile, (2) vehicle drivers, and (3) monotonous manual indoor work. These results were confirmed by comparisons with propensity score matched controls. CONCLUSION: A policy implication of this study is that some occupational groups should be prioritised in the prevention of problem gambling. Theoretically, the study shows that occupational categories represent real-life cultures and contexts of gambling and non-gambling as distinct from the abstract socio-demographic factors that are usually considered in relation to gambling participation and problem gambling.