Health and Wellbeing Promotion Unit, Department of Public Health Solutions, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Experimental Gambling Research Laboratory, Central Queensland University, Bundaberg 4670, Australia.
Int J Environ Res Public Health. 2021 Nov 3;18(21):11552. doi: 10.3390/ijerph182111552.
It is common for gambling research to focus on problem and disordered gambling. Less is known about the prevalence of gambling-related harms among people in the general population. This study aimed to develop and validate the 18-item version of the Short Gambling Harms Screen (SGHS-18).
Population-representative web-based and postal surveys were conducted in the three geographical areas of Finland ( = 7186, aged 18 or older). Reliability and internal structure of SGHS-18 was assessed using coefficient omega and via confirmatory factor analysis (CFA). Four measurement models of SGHS-18 were compared: one-factor, six-factor, a second-ordered factor model and a bifactor model (M4).
The analysis revealed that only the bifactor model had adequate fit for SGHS-18 (CFI = 0.953, TLI = 0.930, GFI = 0.974, RMSEA = 0.047, SRMR = 0.027). The general factor explained most of the common variance compared to specific factors. Coefficient omega hierarchical value for global gambling harm factor (0.80) was high, which suggested that SGHS-18 assessed the combination of general harm constructs sufficiently. The correlation with the Problem and Pathological Gambling Measures (PPGM) was 0.44, potentially reflecting that gambling harms are closely-although not perfectly-aligned with the mental health issue of problem gambling. SGHS-18 scores were substantially higher for participants who gambled more often, who spent more money or who had gambling problems, demonstrating convergent validity for the screen.
The SGHS-18 comprehensively measures the domains of gambling harm, while demonstrating desirable properties of internal consistency, and criterion and convergent validity.
赌博研究通常集中于问题性和障碍性赌博。对于普通人群中与赌博相关的危害的流行程度,人们知之甚少。本研究旨在开发和验证 18 项简短赌博危害量表(SGHS-18)。
在芬兰的三个地理区域(=7186 人,年龄在 18 岁或以上)进行了基于人群的网络和邮寄调查。使用 ω系数和验证性因素分析(CFA)评估 SGHS-18 的信度和内部结构。比较了 SGHS-18 的四种测量模型:单因素模型、六因素模型、二阶因子模型和双因素模型(M4)。
分析表明,只有双因素模型对 SGHS-18 具有适当的拟合度(CFI=0.953,TLI=0.930,GFI=0.974,RMSEA=0.047,SRMR=0.027)。与特定因素相比,一般因素解释了大部分共同方差。全球赌博危害因素的ω系数层次值(0.80)较高,表明 SGHS-18 充分评估了一般危害结构的组合。与问题性和病理性赌博测量表(PPGM)的相关性为 0.44,这可能反映出赌博危害与问题性赌博这一心理健康问题密切相关——尽管并非完全一致。对于更频繁赌博、花费更多金钱或有赌博问题的参与者,SGHS-18 得分明显更高,这表明该量表具有良好的效标和收敛效度。
SGHS-18 全面衡量了赌博危害的各个领域,同时具有理想的内部一致性、效标和收敛效度。