Evidence map›Paper›PMID 38743487›Full record

ArticleJournal of behavioral addictions2024

Harm-to-self from gambling: A national study of Australian adults.

Catherine Tulloch, Nerilee Hing, Matthew Browne, Alex M T Russell, Matthew Rockloff, Vijay Rawat

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Catherine TullochExperimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.ORCID 0000-0002-2842-5110
Nerilee HingExperimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.ORCID 0000-0002-2150-9784
Matthew BrowneExperimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.ORCID 0000-0002-2668-6229
Alex M T RussellExperimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.ORCID 0000-0002-3685-7220
Matthew RockloffExperimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.ORCID 0000-0002-0080-2690
Vijay RawatExperimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.ORCID 0000-0003-1539-5116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Understanding how gambling harm is distributed is essential to inform effective harm reduction measures. This first national Australian study of gambling harm-to-self examined the extent, distribution, risk factors, and health related quality of life (HRQoL) impacts of this harm. Methods: A Random Digit Dialling sample of 15,000 Australian adults was weighted to key population variables. Key measures included the Gambling Harms Scale-10 (GHS-10), PGSI, SF-6D, gambling behaviours, and demographics. Analyses included ordinal logistic regression. Results: Amongst gamblers, 14.7% reported harm on the GHS-10, including 1.9% reporting high-level harm. While high-level harm occurred mainly in the problem gambling group (77.3%), other PGSI groups accounted for most of the more prevalent low (98.5%) and moderate (87.2%) harms reported. Proximal predictors of greater harm were use of online gambling and more frequent gambling on electronic gaming machines (EGMs), race betting sports betting, poker, skin gambling, scratchies, and loot box purchasing. Distal predictors were being younger, male, single, Aboriginal or Torres Strait Islander, and speaking a non-English language at home. At the population level, the greatest aggregate HRQoL impacts were amongst lower-risk gamblers, confirming the results of other studies regarding the 'prevention paradox'. Conclusions: The distribution of harm across gambler risk groups indicates the need for preventive measures, not just interventions for problem gambling. Reducing harm requires modifying product features that amplify their risk, especially for EGMs, race betting and sports betting that are both inherently risky and widely used. Gambling harm exacerbates health disparities for disadvantaged and vulnerable groups, requiring targeted resources and support.

Indexed as

GamblingQuality of LifeAdolescentAdultAgedAustraliaFemaleHumansMaleMiddle AgedRisk FactorsYoung Adultgambling harmgambling productshealth inequityhealth-related quality of life (HRQoL) population studyrisk factors

Identifiers

PMID38743487
PMCPMC11220818

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.