Evidence map›Paper›PMID 28685275›Full record

ArticleJournal of gambling studies2018

Risk Factors for Problem Gambling in California: Demographics, Comorbidities and Gambling Participation.

Rachel A Volberg, Lauren M McNamara, Kari L Carris

Abstract read
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In one paragraph

Article in Journal of gambling studies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 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

3 authors at 2 institutions in 1 country.

Rachel A VolbergSchool of Public Health and Health Sciences, University of Massachusetts Amherst, 715 N. Pleasant Street, Amherst, MA, 01003, USA. rvolberg@schoolph.umass.edu.ORCID http://orcid.org/0000-0003-2959-0748
Lauren M McNamaraNORC at the University of Chicago, 55 East Monroe Street, Chicago, IL, 60603, USA.
Kari L CarrisNORC at the University of Chicago, 55 East Monroe Street, Chicago, IL, 60603, USA.
University of Chicago · USUniversity of Massachusetts Amherst · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While population surveys have been carried out in numerous jurisdictions internationally, little has been done to assess the relative strength of different risk factors that may contribute to the development of problem gambling. This is an important preparatory step for future research on the etiology of problem gambling. Using data from the 2006 California Problem Gambling Prevalence Survey, a telephone survey of adult California residents that used the NODS to assess respondents for gambling problems, binary logistic regression analysis was used to identify demographic characteristics, health-related behaviors, and gambling participation variables that statistically predicted the odds of being a problem or pathological gambler. In a separate approach, linear regression analysis was used to assess the impact of changes in these variables on the severity of the disorder. In both of the final models, the greatest statistical predictor of problem gambling status was past year Internet gambling. Furthermore, the unique finding of a significant interaction between physical or mental disability, Internet gambling, and problem gambling highlights the importance of exploring the interactions between different forms of gambling, the experience of mental and physical health issues, and the development of problem gambling using a longitudinal lens.

Indexed as

AdolescentAdultAgedAge DistributionBehavior, AddictiveCaliforniaComorbidityCross-Sectional StudiesEthnicityFemaleGamblingHumansMaleMiddle AgedPrevalenceRisk FactorsEpidemiologyProblem gamblingRegression analysisRisk factors

Identifiers

PMID28685275
OpenAlexW2727373481

What OpenQuestion holds

Textmetadata
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.