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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10279776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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