Gambling disorder and suicide risk: A meta-epidemiology study
Bibliographic record
Abstract
OBJECTIVE: This meta-analysis aims to explore the relationship between gambling disorder (GD) and suicide, with a focus on the increased risk of suicidal ideation, suicide attempts, and suicide mortality in GD patients. METHODS: We systematically searched PubMed, Embase, and Cochrane databases from inception to March 2025 for observational studies examining the association between GD and suicide risk, using relevant MeSH/keywords. Study quality was assessed via the Newcastle-Ottawa Scale. Data were pooled using random-effects models in STATA 14.0, with results expressed as adjusted odds ratios (ORs) and 95 % confidence intervals (CIs). Subgroup analyses evaluated influences of study design and geographic region. RESULT: This meta-analysis included 14 high-quality observational studies, and the results of the meta-analysis were unbiased. Fourteen studies demonstrated significant associations between GD and suicide outcomes: suicidal ideation [OR = 1.58], suicide attempt [OR = 2.91], and suicide mortality [OR = 8.52]. Subgroup analysis by study design showed non-significant risk in case-control studies [OR = 1.59], but significant risk in cross-sectional [OR = 3.31] and cohort studies [OR = 4.10]. Geographically, Asian studies showed non-significant association [OR = 1.13], while significant risks were observed in Europe [OR = 4.38], North America [OR = 2.41] and Oceania [OR = 2.16]. CONCLUSION: Research shows that gambling disorders are linked to a higher risk of suicide. This association may vary across populations and contexts.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Meta-epidemiology (broad) Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Meta-analysis | high |
| gpt | Meta-epidemiology (broad) Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Meta-analysis | high |
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 | 0.017 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".