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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...

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Autores principales: Syvertsen, André, Kristensen, Joakim H., Browne, Matthew, Li, En, Pallesen, Ståle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279776/
https://www.ncbi.nlm.nih.gov/pubmed/37347046
http://dx.doi.org/10.1016/j.abrep.2023.100499
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author Syvertsen, André
Kristensen, Joakim H.
Browne, Matthew
Li, En
Pallesen, Ståle
author_facet Syvertsen, André
Kristensen, Joakim H.
Browne, Matthew
Li, En
Pallesen, Ståle
author_sort Syvertsen, André
collection PubMed
description 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 (χ(2) = 136.991, df = 14, χ(2)/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 (r(s) = 0.824), the SGHS (r(s) = 0.793), the PGSI (r(s) = 0.768), and moderately with the PWI (r(s) = -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.
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spelling pubmed-102797762023-06-21 Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7) Syvertsen, André Kristensen, Joakim H. Browne, Matthew Li, En Pallesen, Ståle Addict Behav Rep Research paper 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 (χ(2) = 136.991, df = 14, χ(2)/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 (r(s) = 0.824), the SGHS (r(s) = 0.793), the PGSI (r(s) = 0.768), and moderately with the PWI (r(s) = -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. Elsevier 2023-06-02 /pmc/articles/PMC10279776/ /pubmed/37347046 http://dx.doi.org/10.1016/j.abrep.2023.100499 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research paper
Syvertsen, André
Kristensen, Joakim H.
Browne, Matthew
Li, En
Pallesen, Ståle
Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)
title Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)
title_full Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)
title_fullStr Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)
title_full_unstemmed Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)
title_short Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)
title_sort validation of the 7-item domain-general gambling harm scale (dghs-7)
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279776/
https://www.ncbi.nlm.nih.gov/pubmed/37347046
http://dx.doi.org/10.1016/j.abrep.2023.100499
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