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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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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 |
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author | Binde, Per Romild, Ulla |
author_facet | Binde, Per Romild, Ulla |
author_sort | Binde, Per |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8899259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-88992592022-03-17 Risk of problem gambling among occupational groups: A population and registry study Binde, Per Romild, Ulla Nordisk Alkohol Nark Research Reports 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. SAGE Publications 2020-03-13 2020-06 /pmc/articles/PMC8899259/ /pubmed/35308321 http://dx.doi.org/10.1177/1455072519899779 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Research Reports Binde, Per Romild, Ulla Risk of problem gambling among occupational groups: A population and registry study |
title | Risk of problem gambling among occupational groups: A population and registry study |
title_full | Risk of problem gambling among occupational groups: A population and registry study |
title_fullStr | Risk of problem gambling among occupational groups: A population and registry study |
title_full_unstemmed | Risk of problem gambling among occupational groups: A population and registry study |
title_short | Risk of problem gambling among occupational groups: A population and registry study |
title_sort | risk of problem gambling among occupational groups: a population and registry study |
topic | Research Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899259/ https://www.ncbi.nlm.nih.gov/pubmed/35308321 http://dx.doi.org/10.1177/1455072519899779 |
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