Evidence map›Paper›PMID 41688992›Full record

ArticleHarm reduction journal2026

Development of lower-risk guidelines for online sports and race betting in Australia using objective behavioural data.

Robert M Heirene, Dilushi Chandrakumar, Gary Fahey, Eunice L Y Huynh, Sally M Gainsbury

Abstract read
In one paragraph

Article in Harm reduction journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Robert M HeireneSchool of Psychology, Brain & Mind Centre, Science Faculty, University of Sydney, Sydney, Australia. robert.heirene@sydney.edu.au.
Dilushi ChandrakumarSchool of Psychology, Brain & Mind Centre, Science Faculty, University of Sydney, Sydney, Australia.
Gary FaheySchool of Psychology, Brain & Mind Centre, Science Faculty, University of Sydney, Sydney, Australia.
Eunice L Y HuynhSchool of Psychology, Brain & Mind Centre, Science Faculty, University of Sydney, Sydney, Australia.
Sally M GainsburySchool of Psychology, Brain & Mind Centre, Science Faculty, University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower risk gambling guidelines provide clear, actionable advice for reducing the risk associated with gambling by specifying behaviour associated with non-harmful use. Here we aimed to develop lower-risk guidelines specific to online sports and race betting in Australia that Currie (Addiction 112:2011-20, 2017) captured behaviours unique to this activity associated with high risk of experiencing gambling harms (e.g., depositing frequency, number of sports & races bet on) and Currie (Health Promot 34:1207-17, 2019) were based on objective behavioural data from a gambling operator not subject to self-report inaccuracies.

methodsCustomers from two large online wagering sites in Australia owned by the same parent company were invited to take part in a survey including the Problem Gambling Severity Index (PGSI) and the Gambling Harm Measure (GHM). Survey responses were matched to customer's account data provided by the operator, including all bets and transactions placed six months before and after the survey. The final sample consisted of 1,647 participants (84.6% male; mean age = 44.1).

resultsReceiver Operating Characteristic curve analyses were used to identify optimal threshold values for PGSI and GHM harm separately across eight behavioural indicators: frequency, spend, percentage of household income spent, number of different sports/races bet on, deposit frequency, deposit amount, percentage of household income deposited, and number of active wagering accounts (self-reported). All indicators had acceptable Area Under the Curve values (AUC; ≥ 0.6) except gambling frequency. Optimal threshold values were higher for GHM than PGSI harm, and higher than those established in studies using self-report data (e.g., ≤ 6% vs. ≤ 1% of monthly income spent) irrespective of the measure of harm. A dose-response relationship was observed, whereby surpassing more limits was generally associated with greater odds of reporting harm.

conclusionsOur findings provide preliminary support for the following Lower-Risk Guidelines for Online Sports and Race Betting in Australia: Currie (Addiction 112:2011-20, 2017) make no more than four deposits per month, Currie (Health Promot 34:1207-17, 2019) deposit no more than 2% of your pre-tax household income per month, Rockloff (J Gambl Stud 28: 207-16, 2012) bet with no more than two different sites or apps, and as reported by National Health and Medical Research Council (Australian guidelines to reduce health risks from drinking alcohol, Commonwealth of Australia Canberra, 2020) stick to betting on four or fewer different types of sports or races. We strongly encourage further evaluation and testing of these guidelines to confirm their value across samples and over time.

Indexed as

Behavior, AddictiveGamblingGuidelines as TopicHarm ReductionInternetSportsAdultAustraliaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesGambling disorderGambling-related harmHarm reductionLow risk gambling guidelinesPolicyProblem gambling

Identifiers

PMID41688992
PMCPMC12937527

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.