Digitalisation of gambling harm? Gambling consumption, negative consequences, and clinical characteristics among Swedish help-seekers

Addict Behav. 2025 Jan:160:108182. doi: 10.1016/j.addbeh.2024.108182. Epub 2024 Sep 25.

Abstract

Gambling is connected to a range of harms and negative consequences. Gambling is also evolving at a fast pace, particularly in digital environments. Understanding the effects of this on-going change and digitalisation of gambling markets requires systematic measuring of gambling consumption patterns, clinical characteristics, and gambling-related harms. The current study compares two cohorts of help-seekers for gambling in Sweden (2019; 2023), recruited via the Swedish national helpline. The aim is to assess harms and consumption across the two cohorts at a time of increased offer of digital gambling in Sweden. We used eight different screens to measure gambling-related behaviours and consequences, including the Gambling Disorder Identification Test (GDIT). Results were analysed using descriptive statistics, and differences across the two cohorts were tested for statistical significance. The results show that across 2019-2023, gambling consumption has intensified. Online EGMs are by far the most prevalent form of gambling among help-seekers. We also found that the experience of co-morbidities as well as most gambling-related harms were common in both cohorts, with some statistically significant increases in 2023. Harms were more commonly experienced amongst those who engaged in online EGM gambling in comparison to those who did not. The results suggest that the digitalisation of gambling and gambling products appears to be associated with a variety of harmful consequences. The results also show the importance of systematic and comprehensive measurement to capture different severity levels of harms and their wide range amongst those who gamble.

Keywords: Digitalisation; GDIT; Gambling; Harms; Measurement.

MeSH terms

  • Adult
  • Cohort Studies
  • Comorbidity
  • Female
  • Gambling* / epidemiology
  • Gambling* / psychology
  • Humans
  • Male
  • Middle Aged
  • Patient Acceptance of Health Care / statistics & numerical data
  • Sweden / epidemiology
  • Young Adult