Evidence map›Paper›PMID 32423451›Full record

ArticleBMC public health2020

Gambling formats, involvement, and problem gambling: which types of gambling are more risky?

Alissa Mazar, Martha Zorn, Nozipho Becker, Rachel A Volberg

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
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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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Alissa MazarResearch project manager and research associate of the Social and Economic Impacts of Gambling in Massachusetts project, University of Massachusetts Amherst, School of Public Health and Health Sciences, 416 Arnold House, 715 North Pleasant Street, Amherst, MA, 01003-9304, USA. alissa.mazar@gmail.com.ORCID http://orcid.org/0000-0001-9008-9456
Martha ZornData manager of the Social and Economic Impacts of Gambling in Massachusetts project, University of Massachusetts Amherst, School of Public Health and Health Sciences, 416 Arnold House, 715 North Pleasant Street, Amherst, MA, 01003-9304, USA.
Nozipho BeckerResearch assistant of the Social and Economic Impacts of Gambling in Massachusetts project, University of Massachusetts Amherst, School of Public Health and Health Sciences, 100 Holdsworth Way, Amherst, MA, 01003-9282, USA.
Rachel A VolbergResearch Professor and Principal Investigator of the Social and Economic Impacts of Gambling in Massachusetts project, University of Massachusetts Amherst, School of Public Health and Health Sciences, 418 Arnold House, 715 North Pleasant Street, Amherst, MA, 01003-9304, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recognition of problem gambling as a public health issue has increased as the availability of gambling expands. Research has found that some formats of gambling are more closely linked to problem gambling than others. Conflicting evidence, however, has emerged, suggesting that the most important consideration is involvement (i.e., number of gambling formats an individual participates in). This debate has important implications for the regulation of gambling formats and for the allocation of problem gambling prevention and treatment services.

methodAnalyses utilized the Baseline General Population Survey (BGPS) and the Baseline Online Panel Survey (BOPS) of Massachusettscollected in 2013-2014. The BGPS contains a representative sample of 9523 Massachusetts adults and the BOPS contains a sample of 5046 Massachusetts adults. All participants were administered the same comprehensive survey of their past year gambling behavior and problem gambling symptomology. Only those who gambled regularly in the past 12 months (n = 5852) were included. The Problem and Pathological Gambling Measure was used to classify gambling behavior. Within the sample, there were 446 problem gamblers. We assessed: 1) whether some gambling formats are more related to problem gambling; 2) whether problem gambling is positively related to high involvement in gambling; 3) the relationship between involvement in gambling and intensity of gambling; and 4) whether gambling formats mediate the relationship between gambling involvement and problem gambling.

resultsGroups of monthly gamblers participating in casino gambling, bingo, and sports betting contained a higher proportion of problem gamblers. High gambling involvement was also positively associated with problem gambling; however, a large minority of gamblers experienced problems when engaging in only one or two forms of gambling. Gambling involvement was also positively associated with intensity of gambling. Therefore, intensity of gambling may be partly driving the relationship between involvement and problem gambling. Specific gambling formats mediated the relationship between involvement and problem gambling.

conclusionsThe gambling format an individual participates in is connected to whether an individual is likely to experience problem gambling. We also found that the level of involvement (and its relationship to intensity) may affect the likelihood that an individual will experience problematic gambling behavior. Ultimately, the type of gambling format an individual partakes in does mediate the relationship between problem gambling and involvement. In Massachusetts, participating in casino gambling was more closely associated with problem gambling than other formats across all levels of involvement.

Indexed as

AdultBehavior, AddictiveFemaleGamblingHumansMaleMassachusettsMiddle AgedMinority GroupsSocioeconomic FactorsSurveys and QuestionnairesYoung AdultGambling formatsGambling regulationPrevention and treatmentProblem gamblingRisk

Identifiers

PMID32423451
PMCPMC7236368

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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.