ArticlePloS one2019
Predictors of gambling and problem gambling in Victoria, Australia.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Role of Virtual Communities in Gambling and Gaming Behaviors: A Systematic Review.Journal of gambling studies · 2021Pooled it
- Gambling Marketing Strategies and the Internet: What Do We Know? A Systematic Review.Frontiers in psychiatry · 2021Pooled it
- Examining the Role of Sports Betting Marketing in Youth Problem Gambling.Journal of gambling studies · 2024Article
- Internet, App-Based, and Casino Gambling: Associations Between Modality, Problem Gambling, and Substance Use.Journal of gambling studies · 2024Article
- Exploring Socioeconomic, Demographic and Psychological Predictors of At-risk Gambling and Participation in Specific Gambling Activities: A Comparative Approach.Journal of gambling studies · 2024Article
- Determinants of problem sports betting among college students: moderating roles of betting frequency and impulsive betting tendency.BMC psychology · 2023Article
- The associative learning roots of affect-driven impulsivity and its role in problem gambling: A replication attempt and extension of Quintero et al. (2020).Journal of behavioral addictions · 2023Article
- Predictors of Problem Gambling for Sports and Non-sports Gamblers: A Stochastic Search Variable Selection Analysis.Journal of gambling studies · 2022Article
- Metacognition and the effect of incentive motivation in two compulsive disorders: Gambling disorder and obsessive-compulsive disorder.Psychiatry and clinical neurosciences · 2022Article
- Correction to: Impact of Gambling Supply Reduction During COVID‑19 Shutdowns on Gambling Problems and Gambling Behaviour in Australia: A National Longitudinal Study.Journal of gambling studies · 2022Article
- Impact of Gambling Supply Reduction During COVID-19 Shutdowns on Gambling Problems and Gambling Behaviour in Australia: A National Longitudinal Study.Journal of gambling studies · 2022Article
- Characterization and prediction of gambling behavior in adolescents using the COM-B model.PloS one · 2022Article
- Associations of the Big Five and locus of control with problem gambling in a large Australian sample.PloS one · 2021Article
- A Longitudinal Analysis of Gambling Predictors among Adolescents.International journal of environmental research and public health · 2020Article
- Contribution of sex on the underlying mechanism of the gambling disorder severity.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 2016, the gambling habits of a sample of 3361 adults in the state of Victoria, Australia, were surveyed. It was found that a number of factors that were highly correlated with self-reported gambling frequency and gambling problems were not significant predictors of gambling frequency and problem gambling. The major predictors of gambling frequency were the degree to which family members and peers were perceived to gamble, self-reported approval of gambling, the frequency of discussing gambling offline, and the participant's Canadian Problem Gambling Severity Index (PGSI) score. Age was a significant predictor of gambling frequency for certain types of gambling (e.g. buying lottery tickets). Approximately 91% of the explainable variance in the participant's PGSI score could be explained by just five predictors: Positive Urgency; Frequency of playing poker machines at pubs, hotels or sporting clubs; Participation in online discussions of betting on gaming tables at casinos; Frequency of gambling on the internet, and Overestimating the chances of winning. Based on these findings, suggestions are made as to how gambling-related harm can be reduced.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.