Evidence map›Paper›PMID 36646773›Full record

ArticleScientific reports2023

Predictors of adverse gambling behaviours amongst elite athletes.

Matthew Adam Turk, Colm Murphy, Jack McCaffrey, Kieran Murray

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

4 authors.

Matthew Adam TurkUniversity College Dublin, Dublin, Ireland.
Colm MurphyWashington Street Medical Centre, Cork, Ireland.
Jack McCaffreyChildren's Health Ireland, Temple Street, Dublin, Ireland.
Kieran MurrayUniversity Hospital Limerick, Dooradoyle, Limerick, Ireland. kemurray@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Problem gambling levels amongst elite sportspeople are above populational baseline. We assess gambling in an elite Irish sporting population. An anonymous web-based questionnaire including the validated Problem Gambling Severity Index was distributed. Univariate and multivariate analyses were performed to evaluate predictors of moderate/high risk gambling. 608 players (mean age 24) were included. Seventy nine percent of respondents were current gamblers and 6% problem gamblers. Amongst high-risk gamblers, significantly more were male (100% vs 76%, p = 0.003), fewer completed university (52% vs 69%, p = 0.024), and more were smokers (48% vs 24%, p = 0.002). They were also more likely to avail of free online gambling offers (90% vs 44%, p < 0.001), gamble with teammates (52% vs 21%, p < 0.001) and have placed their first bet before age 16 (41% vs 19%, p = 0.003). In multivariate analysis, moderate/high risk gambling was associated with: male gender (OR = 8.9 [1.1-69], p = 0.035), no 3rd level education (OR = 2.5 [1.4-5.0], p = 0.002), free online gambling use (OR = 4.3 [2.1-5.3], p < 0.001), gambling with teammates (OR = 3.0 [1.7-5.3], p < 0.001), and being under 18 at first bet (OR = 2.0 [1.1-3.3], p = 0.013). This study shows a harmful gambling culture amongst elite Irish athletes. Male gender, lower educational status, free online gambling use, gambling with teammates and first bet at less than age 18 were associated with moderate/high risk gambling. These groups may benefit from targeted interventions.

Indexed as

GamblingAdolescentAdultAthletesEducational StatusFemaleHumansMaleMultivariate AnalysisSurveys and QuestionnairesYoung Adult

Identifiers

PMID36646773
PMCPMC9841496

What OpenQuestion holds

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Registered trials

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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.