Evidence map›Paper›PMID 34374151›Full record

Observational studyAddiction (Abingdon, England)2022

Impact of wagering inducements on the gambling behaviors of on-line gamblers: A longitudinal study based on gambling tracking data.

Marianne Balem, Bastien Perrot, Jean-Benoit Hardouin, Elsa Thiabaud, Anaïs Saillard, Marie Grall-Bronnec, Gaëlle Challet-Bouju

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 28 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Marianne BalemUMR1246 SPHERE (MethodS in Patients-centered outcomes and HEalth ResEarch), Nantes University, Tours University, INSERM, Nantes, France.ORCID 0000-0002-0324-9579
Bastien PerrotUMR1246 SPHERE (MethodS in Patients-centered outcomes and HEalth ResEarch), Nantes University, Tours University, INSERM, Nantes, France.ORCID 0000-0002-3701-6693
Jean-Benoit HardouinUMR1246 SPHERE (MethodS in Patients-centered outcomes and HEalth ResEarch), Nantes University, Tours University, INSERM, Nantes, France.ORCID 0000-0001-8664-623X
Elsa ThiabaudAddictology and Psychiatry Department, CHU Nantes, Nantes, France.ORCID 0000-0001-5253-3595
Anaïs SaillardAddictology and Psychiatry Department, CHU Nantes, Nantes, France.ORCID 0000-0002-7482-9597
Marie Grall-BronnecUMR1246 SPHERE (MethodS in Patients-centered outcomes and HEalth ResEarch), Nantes University, Tours University, INSERM, Nantes, France.ORCID 0000-0003-0722-7243
Gaëlle Challet-BoujuUMR1246 SPHERE (MethodS in Patients-centered outcomes and HEalth ResEarch), Nantes University, Tours University, INSERM, Nantes, France.ORCID 0000-0002-2238-8005
Université de Tours · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo estimate whether the use of wagering inducements has a significant impact on the gambling behaviors of on-line gamblers and describe this temporal relation under naturalistic conditions.

designThis longitudinal observational study is part of the second stage of the Screening for Excessive Gambling Behaviors on the Internet (EDEIN) research program.

settingGambling tracking data from the French national on-line gambling authority (poker, horse race betting and sports betting) and from the French national lottery operator (lotteries and scratch games).

participantsA total of 9306 gamblers who played poker, horse race or sports betting and 5682 gamblers who played lotteries and scratch games completed an on-line survey. The gender ratio was largely male (between 87.1% and 92.9% for poker, horse race betting and sports betting, and equal to 65.1% for lotteries). Median age ranged from 35 (sports betting) to 53 (horse race betting and lotteries). MEASUREMENTS: The survey used the Problem Gambling Severity Index (PGSI) to determine the status of the gamblers (at-risk or not). Gambling tracking data included weekly gambling intensity (wagers, deposits), gambling frequency (number of gambling days), proxies of at-risk gambling behaviors (chasing and breadth of involvement) and use of wagering inducements.

findingsThe use of wagering inducements was associated with an increase of gambling intensity [β between -0.06 (-0.08; -0.05) and 0.57 (0.54; 0.60)], gambling frequency [β between 0.12 (0.10; 0.18) and 0.29 (0.28; 0.31)] and at-risk gambling behaviors [odds ratio between 1.32 (1.16; 1.50) and 4.82 (4.61; 5.05)] at the same week of their use. This effect was stronger for at-risk gambling behaviors and at-risk gamblers.

conclusionsWagering inducements may represent a risk factor for developing or exacerbating gambling problems.

Indexed as

GamblingSportsAnimalsHorsesHumansLongitudinal StudiesMaleMotivationRisk-Takingcross-correlationsgambling disordergambling tracking datageneralized linear mixed modelson-line gamblingwagering inducements

Identifiers

PMID34374151
PMCPMC9293013
OpenAlexW3189154630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.