Demographic characteristics, gambling engagement, mental health, and associations with harmful gambling risk among UK Armed Forces serving personnel.

IF 1.4 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Matthew Jones, H Champion, G Dighton, J Larcombe, M Fossey, S Dymond
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引用次数: 0

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.

英国武装部队现役人员的人口特征、参与赌博情况、心理健康以及与有害赌博风险的关联。
导言:有害赌博对个人、家庭和社区都有负面影响。越来越多的国际证据表明,武装部队(AF)群体因赌博而受到伤害的风险可能高于普通人群。本研究旨在确定英国武装部队现役人员(AFSP)中有害赌博和参与赌博的一般预测因素:我们进行了一项横断面探索性调查,以确定 AFSP 样本(N=608)中人口统计因素、心理健康、赌博参与和赌博类型之间的关联:结果:大多数样本报告了过去一年的赌博情况,其中 23% 的人曾受到过伤害。男性性别、较年轻的年龄和较低的教育程度都预示着赌博会造成伤害,心理健康变量中的既往广泛焦虑和创伤后应激症状也是如此。基于策略的赌博和在线体育博彩也能预测赌博造成的伤害:结论:AFSP 的赌博伤害风险与人口统计学、心理健康和赌博参与变量有关。更好地了解这些预测因素对于开发针对有害赌博的个性化治疗方法非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bmj Military Health
Bmj Military Health MEDICINE, GENERAL & INTERNAL-
CiteScore
3.10
自引率
20.00%
发文量
116
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