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Mapping the proportional distribution of gambling-related harms in a clinical and community sample

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  • K. Shannon
  • F. Anjoul
  • A. Blaszczynski

Abstract

Excessive gambling results in a range of diverse harms experienced by individuals and their family members. However, little consideration has been given to specifically assessing such harms. Despite recent attempts to comprehensively ‘list’ and describe the ‘wide net’ of specific harms, what remains particularly unclear is the best way to measure the presence of harm and quantify its relationship to gambling. This article proposes a two-step method for quantifying gambling-related harm. From the literature, 104 questions assessing 48 items of harm were categorized into seven domains. Items were administered to 391 clinical and 151 community gamblers. Results suggest that while high-impact harms such as suicide and divorce are commonly associated with problem gambling, the reported frequency is low. Most gamblers sustain low-impact harms such as reduced savings and worry. This study presents the evaluation of specific gambling-related harms distributed in a clinical and community sample taking into account severity and its relationship to gambling behaviours. It is concluded that gambling-related harms negatively impact on quality of life with a minority suffering more severe harms. It is argued that the proposed two-step methodology provides a basis for developing a psychometrically valid measure of gambling-related harm.

Suggested Citation

  • K. Shannon & F. Anjoul & A. Blaszczynski, 2017. "Mapping the proportional distribution of gambling-related harms in a clinical and community sample," International Gambling Studies, Taylor & Francis Journals, vol. 17(3), pages 366-385, September.
  • Handle: RePEc:taf:intgms:v:17:y:2017:i:3:p:366-385
    DOI: 10.1080/14459795.2017.1333131
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    Cited by:

    1. Tiina Latvala & Matthew Browne & Matthew Rockloff & Anne H. Salonen, 2021. "18-Item Version of the Short Gambling Harm Screen (SGHS-18): Validation of Screen for Assessing Gambling-Related Harm among Finnish Population," IJERPH, MDPI, vol. 18(21), pages 1-13, November.
    2. Swanton, Thomas B. & Gainsbury, Sally M., 2020. "Debt stress partly explains the relationship between problem gambling and comorbid mental health problems," Social Science & Medicine, Elsevier, vol. 265(C).
    3. Matthew Browne & Vijay Rawat & Catherine Tulloch & Cailem Murray-Boyle & Matthew Rockloff, 2021. "The Evolution of Gambling-Related Harm Measurement: Lessons from the Last Decade," IJERPH, MDPI, vol. 18(9), pages 1-14, April.

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