Gambling and wellbeing: Uneven gains and deficits across risk levels
Abstract
Gambling is associated with both enjoyment and harm, yet conventional prevalence measures may understate its wider consequences. Subjective wellbeing data offer a broader lens for understanding how gambling relates to individual welfare. Using nationally representative data from the Health Survey for England, we analyse wellbeing across the gambling risk spectrum. Individuals classified as problem gamblers report markedly lower wellbeing than non-gamblers, with a deficit around twice as large as the gap associated with unemployment, conditional on other life circumstances. Wellbeing is also lower among those at lower risk levels, particularly among women, indicating that gambling-related harm extends beyond the small minority formally identified as problem gamblers, consistent with public health frameworks that treat harm as a continuum. By contrast, gambling without problematic indicators is associated with modestly higher wellbeing than abstinence, reflecting the heterogeneity of experiences. These associations are consistent over time and across multiple wellbeing domains, with the exception of optimism. Taken together, the findings highlight the importance of considering a broader group when assessing gambling-related harm, while also calling for proportionate policy responses that address harms without overlooking that many gamblers experience no deficit. • Gambling–wellbeing link is analysed using multiple Health Survey for England waves. • Problem gamblers’ wellbeing deficit is roughly double the employed–unemployed gap. • Wellbeing deficits extend to at-risk gamblers, disproportionately for women. • Those who gambled with no indications of harm reported modestly higher wellbeing. • The patterns persist over time, calling for targeted gambling-related policies.
Fields of Study & Subjects
Gambling Behavior and Treatments
Financial Literacy
Pension
Retirement Analysis
Substance Abuse Treatment and Outcomes
Publication details
- Journal / source
- Social Science & Medicine
- Publisher
- Elsevier BV
- Volume
- 393
- Pages
- 119060–119060
- Publication date
- 31 January 2026
- Language
- EN