ArticleJournal of gambling studies2025
Affected Other Prevalence and Profiles: Findings from a Cross-Sectional Australian Population-Representative Gambling Study.
Article in Journal of gambling studies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Problem gambling and affected others: health, relational and economic outcomes across longitudinal trajectories in a population-based Swedish study.BMC public health · 2026Article
- From 'Six Others' to Edge Conservation: A Network Reconciliation of Gambling Harm to Others.Journal of gambling studies · 2026Article
- A Balancing Act: How Affected Others Support Themselves and Those Who Gamble.Journal of gambling studies · 2026Article
- Development and Validation of the Gambling Impact Scale for Families.Journal of gambling studies · 2026Article
- Concerned significant others of persons with problem gambling and problem gaming: Prevalence and characteristics in the Norwegian population.Journal of behavioral addictions · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gambling-related harm can extend to family members and friends but few population-representative studies have investigated affected other (AO) prevalence estimates and profiles in the general population. Using data from the 5000 adult respondents in the Fourth Social and Economic Impact Study of Gambling in Tasmania, this study aimed to: (1) identify prevalence estimates of AO status and professional help-seeking; (2) establish the socio-demographic and gambling profiles of AOs; (3) extend the growing literature examining negative mental health characteristics experienced by AOs, after accounting for socio-demographic characteristics and other potential sources of harm; and (4) explore the degree to which gender moderates these relationships. Results found that 1 in 20 adults (5.11%, 95% CI: 4.33, 6.01) reported past-year AO status but only 1 in 7 AOs (14.15%, 95% CI: 9.01, 21.52) had ever sought help in relation to another person's gambling (i.e., < 1% of all adults). AOs were significantly more likely than non-AOs to be younger, Australian-born, employed, and living in households with children. They were significantly more likely than non-AOs to report depression symptoms, anxiety symptoms, binge drinking, tobacco use, and drug use, even after controlling for socio-demographics and other potential sources of harm. Finally, they were more likely to report their own gambling participation, problems, and harm but only 2.20% (95% CI: 0.69, 6.78) had ever sought help for their own gambling. These findings suggest that a considerable proportion of AOs in the general population may benefit from support to improve their own mental health and address their own gambling harm.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.