Journal article 362 views 39 downloads
Demographic characteristics, gambling engagement, mental health, and associations with harmful gambling risk among UK Armed Forces serving personnel
,
J Larcombe,
M Fossey ,
Simon Dymond
BMJ Military Health, Start page: e002726
Swansea University Authors:
Matthew Jones, Hannah Champion, Glen Dighton , Simon Dymond
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DOI (Published version): 10.1136/military-2024-002726
Abstract
Introduction Harmful gambling negatively impacts individuals, families and communities. Growing international evidence indicates that the Armed Forces (AF) community may be at a comparatively higher risk of experiencing harm from gambling than the general population. The current study sought to iden...
| Published in: | BMJ Military Health |
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| ISSN: | 2633-3767 2633-3775 |
| Published: |
BMJ
2024
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa66528 |
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| Abstract: |
Introduction Harmful gambling negatively impacts individuals, families and communities. Growing international evidence indicates that the Armed Forces (AF) community may be at a comparatively higher risk of experiencing harm from gambling than the general population. The current study sought to identify general predictors of harmful gambling and gambling engagement among UK AF serving personnel (AFSP).Methods We conducted a cross-sectional, exploratory survey to identify associations between demographic factors, mental health, gambling engagement and gambling type in a sample (N=608) of AFSP.Results Most of the sample reported past-year gambling, with 23% having experienced harm. Male gender, younger age and lower educational attainment all predicted harmful gambling, as did mental health variables of prior generalised anxiety and post-traumatic stress symptomatology. Strategy-based gambling and online sports betting were also predictive of experiencing harm from gambling.Conclusions The risk of harm from gambling is associated with demographic, mental health and gambling engagement variables among AFSP. Better understanding of these predictors is important for the development of individualised treatment approaches for harmful gambling. |
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| College: |
Faculty of Medicine, Health and Life Sciences |
| Funders: |
Swansea University |
| Start Page: |
e002726 |