Evidence map›Paper›PMID 34299817›Full record

ArticleInternational journal of environmental research and public health2021

Self-Exclusion from Gambling-A Measure of COVID-19 Impact on Gambling in a Highly Online-Based Gambling Market?

Anders Håkansson, Carolina Widinghoff, Jonas Berge

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

Anders HåkanssonDepartment of Clinical Sciences Lund, Faculty of Medicine, Lund University, 221 00 Lund, Sweden.ORCID 0000-0002-5800-8975
Carolina WidinghoffDepartment of Clinical Sciences Lund, Faculty of Medicine, Lund University, 221 00 Lund, Sweden.
Jonas BergeDepartment of Clinical Sciences Lund, Faculty of Medicine, Lund University, 221 00 Lund, Sweden.

Funding

Svenska Spel non-project-specific
6 · The paper itself

Abstract

The COVID-19 pandemic, and related changes of the gambling market, have been suspected to affect the risk of problem gambling. Despite media attention and political concern with this risk, study findings hitherto have been mixed. Voluntary self-exclusion from gambling was introduced on a national level in Sweden as a harm reduction tool in 2019, and this self-exclusion service in Sweden is a rare example of such an official, nationwide, multi-operator system. The present study aimed to evaluate whether short-term self-exclusion patterns were affected by different phases of COVID-19-related impacts on gambling markets in 2020. During the lock-down of sports in the spring months of 2020, three-month self-exclusion was unaffected, and one-month self-exclusion appeared to increase, though not more than in a recent period prior to COVID-19. Despite large differences in sports betting practices between women and men, self-exclusion patterns during COVID-19 were not apparently gender-specific. Altogether, self-exclusion from gambling, to date, does not appear to be affected by COVID-19-related changes in society, in contrast with beliefs about such changes producing greater help-seeking behavior in gamblers. Limitations are discussed, including the fact that in a recently introduced system, seasonality aspects and the autocorrelated nature of the data made substantial statistical measures unfeasible.

Indexed as

Behavior, AddictiveCOVID-19GamblingCommunicable Disease ControlFemaleHumansMalePandemicsSARS-CoV-2Swedenbehavioral addictionCOVID-19gambling disorderproblem gamblingself-exclusion

Identifiers

PMID34299817
PMCPMC8305751

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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.