Evidence map›Paper›PMID 31254140›Full record

ArticleJournal of gambling studies2019

Application of Health Belief Model to Practice of Responsible Gambling.

Kwok-Kit Tong, Juliet Honglei Chen, Anise M S Wu

Abstract read
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In one paragraph

Article in Journal of gambling studies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  7. Predictors of stockpiling behavior during the COVID-19 pandemic in Germany.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2022
    Article
  8. 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.

Kwok-Kit TongDepartment of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macau, China.
Juliet Honglei ChenDepartment of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macau, China.
Anise M S WuDepartment of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macau, China. anisewu@um.edu.mo.ORCID http://orcid.org/0000-0001-8174-6581

Funding

University of Macau MYRG2015-00213-FSSUniversity of Macau MYRG2018-00058-FSS
6 · The paper itself

Abstract

Responsible gambling (RG) strategies seem to be effective only to some people and it is unclear why some gamblers are more likely to adhere to RG practices (e.g., self-exclusion and setting limits). The current study investigated whether cognitive factors, including RG awareness and Health Belief Model (HBM) factors (i.e., perceived susceptibility, perceived severity, perceived benefit, perceived barrier, cue to action, and self-efficacy), accounted for individual differences in adherence to ten common RG practices. Eight hundred and ninety-six community-dwelling adults were recruited to participate in a telephone poll in Macao, China, in November 2016. We found that only 56.1% of the respondents had heard of RG, and there was a positive relation between RG awareness and RG practices. Moreover, HBM factors were also shown to explain one's adherence to RG practices in general but the effectiveness of HBM factors varied across RG practices. The findings provided practical implications that there is a need to target different cognitive beliefs for promoting different RG practices in designing intervention.

Indexed as

Attitude to HealthAdultBehavior, AddictiveChinaFemaleGamblingHumansMacauMaleSelf-ControlSelf EfficacyTelephoneAwarenessHealth Belief ModelIntervention strategiesResponsible gambling

Identifiers

PMID31254140

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.