Annual Research Review: Emergence of problem gambling from childhood to emerging adulthood: a systematic review
Bibliographic record
Abstract
BACKGROUND: The risk for problematic gambling and associated high-risk behaviors is elevated during adolescence and emerging adulthood. Activities with gambling-like features and novel forms of gambling may place youth at an increased risk for problem gambling. AIM AND METHOD: The aim of this review is to provide an overview of the association between both activities with gambling-like features and novel gambling activities and problem gambling among youth while examining the role of psychopathology and cognitive processes. Six databases (PsychINFO, MEDLINE, PubMed, Social Work Abstracts, Technology Collection, and Scopus) were searched in November 2021 for peer-reviewed articles investigating the association between the aforementioned variables among youth up to the age of 25 years. Risk of bias was assessed using the Observational Study Quality Evaluation. FINDINGS: Forty-five articles were included in the review. Positive associations were observed between engagement in activities with gambling-like features (e.g., video games, social casino games, loot boxes) and problem gambling. Increased involvement with novel forms of gambling (e.g., online sports betting, fantasy sports, and esports betting) were also associated with a greater risk for problematic gambling. Males reported higher rates of engagement in these activities and a greater risk of problem gambling than females. Impulsivity, risk taking, cognitive distortions, and specific emotional vulnerabilities were associated with an increased risk of problem gambling. CONCLUSIONS: Despite the need for additional longitudinal research controlling for relevant confounders, these findings underline how engagement in activities with gambling-like features are relevant in the developmental trajectory toward problem gambling.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".