André Syvertsen , Joakim H. Kristensen , Matthew Browne , En Li , Ståle Pallesen
{"title":"7项域一般赌博危害量表(DGHS-7)的验证","authors":"André Syvertsen , Joakim H. Kristensen , Matthew Browne , En Li , Ståle Pallesen","doi":"10.1016/j.abrep.2023.100499","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Gambling can cause negative consequences affecting finances, work/study, physical and mental health, relationships, law abidingness, and the community. Although existing measures enable investigations of gambling harms, there is still a need for a brief measure covering the full range of gambling related harms.</p></div><div><h3>Methods</h3><p>We validated a 7-item domain-general harm scale (DGHS-7) using data from a cross-sectional survey of United Kingdom residents reporting gambling within the last 12 months (<em>n</em> = 2558, 62.4% women, mean age 40.1 years (<em>SD</em> = 12.5)). The DGHS-7 was investigated in terms of factor structure, measurement invariance, and convergent validity with a comprehensive 72-item checklist of gambling harm, the Short Gambling Harms Screen (SGHS), and the Problem Gambling Severity Index (PGSI). Discriminative validity was checked against the Personal Wellbeing Index (PWI). Internal consistency was also calculated.</p></div><div><h3>Results</h3><p>Confirmatory factor analysis supported a one-factor solution (χ<sup>2</sup> = 136.991, <em>df</em> = 14, χ<sup>2</sup>/<em>df</em> = 9.785, <em>p</em> <.001, CFI = 0.999, RMSEA = 0.059, 90% CI [0.050, 0.068]). Measurement invariance was supported for gender and binary categorization of age and income (ΔCFI = 0.001). The DGHS-7 correlated strongly with the 72-item checklist (<em>r<sub>s</sub></em> = 0.824), the SGHS (<em>r<sub>s</sub></em> = 0.793), the PGSI (<em>r<sub>s</sub></em> = 0.768), and moderately with the PWI (<em>r<sub>s</sub></em> = -0.303). Cronbach’s alpha = 0.91 and ordinal alpha = 0.96 indicated good internal consistency.</p></div><div><h3>Conclusions</h3><p>Psychometric support was found for a brief measure covering all recognized domains of gambling harm. The DGHS-7 is useful for researchers needing a generic and short measure for epidemiological and other studies calling for short scales.</p></div>","PeriodicalId":38040,"journal":{"name":"Addictive Behaviors Reports","volume":"17 ","pages":"Article 100499"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279776/pdf/","citationCount":"0","resultStr":"{\"title\":\"Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)\",\"authors\":\"André Syvertsen , Joakim H. Kristensen , Matthew Browne , En Li , Ståle Pallesen\",\"doi\":\"10.1016/j.abrep.2023.100499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Gambling can cause negative consequences affecting finances, work/study, physical and mental health, relationships, law abidingness, and the community. Although existing measures enable investigations of gambling harms, there is still a need for a brief measure covering the full range of gambling related harms.</p></div><div><h3>Methods</h3><p>We validated a 7-item domain-general harm scale (DGHS-7) using data from a cross-sectional survey of United Kingdom residents reporting gambling within the last 12 months (<em>n</em> = 2558, 62.4% women, mean age 40.1 years (<em>SD</em> = 12.5)). The DGHS-7 was investigated in terms of factor structure, measurement invariance, and convergent validity with a comprehensive 72-item checklist of gambling harm, the Short Gambling Harms Screen (SGHS), and the Problem Gambling Severity Index (PGSI). Discriminative validity was checked against the Personal Wellbeing Index (PWI). Internal consistency was also calculated.</p></div><div><h3>Results</h3><p>Confirmatory factor analysis supported a one-factor solution (χ<sup>2</sup> = 136.991, <em>df</em> = 14, χ<sup>2</sup>/<em>df</em> = 9.785, <em>p</em> <.001, CFI = 0.999, RMSEA = 0.059, 90% CI [0.050, 0.068]). Measurement invariance was supported for gender and binary categorization of age and income (ΔCFI = 0.001). The DGHS-7 correlated strongly with the 72-item checklist (<em>r<sub>s</sub></em> = 0.824), the SGHS (<em>r<sub>s</sub></em> = 0.793), the PGSI (<em>r<sub>s</sub></em> = 0.768), and moderately with the PWI (<em>r<sub>s</sub></em> = -0.303). Cronbach’s alpha = 0.91 and ordinal alpha = 0.96 indicated good internal consistency.</p></div><div><h3>Conclusions</h3><p>Psychometric support was found for a brief measure covering all recognized domains of gambling harm. 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Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)
Introduction
Gambling can cause negative consequences affecting finances, work/study, physical and mental health, relationships, law abidingness, and the community. Although existing measures enable investigations of gambling harms, there is still a need for a brief measure covering the full range of gambling related harms.
Methods
We validated a 7-item domain-general harm scale (DGHS-7) using data from a cross-sectional survey of United Kingdom residents reporting gambling within the last 12 months (n = 2558, 62.4% women, mean age 40.1 years (SD = 12.5)). The DGHS-7 was investigated in terms of factor structure, measurement invariance, and convergent validity with a comprehensive 72-item checklist of gambling harm, the Short Gambling Harms Screen (SGHS), and the Problem Gambling Severity Index (PGSI). Discriminative validity was checked against the Personal Wellbeing Index (PWI). Internal consistency was also calculated.
Results
Confirmatory factor analysis supported a one-factor solution (χ2 = 136.991, df = 14, χ2/df = 9.785, p <.001, CFI = 0.999, RMSEA = 0.059, 90% CI [0.050, 0.068]). Measurement invariance was supported for gender and binary categorization of age and income (ΔCFI = 0.001). The DGHS-7 correlated strongly with the 72-item checklist (rs = 0.824), the SGHS (rs = 0.793), the PGSI (rs = 0.768), and moderately with the PWI (rs = -0.303). Cronbach’s alpha = 0.91 and ordinal alpha = 0.96 indicated good internal consistency.
Conclusions
Psychometric support was found for a brief measure covering all recognized domains of gambling harm. The DGHS-7 is useful for researchers needing a generic and short measure for epidemiological and other studies calling for short scales.
期刊介绍:
Addictive Behaviors Reports is an open-access and peer reviewed online-only journal offering an interdisciplinary forum for the publication of research in addictive behaviors. The journal accepts submissions that are scientifically sound on all forms of addictive behavior (alcohol, drugs, gambling, Internet, nicotine and technology) with a primary focus on behavioral and psychosocial research. The emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. We are particularly interested in ''non-traditional'', innovative and empirically oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research. Studies that might encourage new lines of inquiry as well as scholarly commentaries on topical issues, systematic reviews, and mini reviews are also very much encouraged. We also welcome multimedia submissions that incorporate video or audio components to better display methodology or findings.