Frequency and Correlates of Gambling Problems in Outpatients with Major Depressive Disorder and Bipolar Disorder
Bibliographic record
Abstract
OBJECTIVE: To investigate the frequency of gambling in people who have been diagnosed with major depressive disorder (MDD) or bipolar disorder (BD). Secondary objectives were to examine: sex differences in the rates of gambling behaviour, the temporal relation between onset of mood disorders and problem gambling, psychiatric comorbidities associated with problem gambling, and the influences of problem gambling on quality of life. METHOD: People (aged 18 years and older) who met criteria for lifetime Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision-defined MDD or BD I or II, and were confirmed by the Mini International Neuropsychiatric Interview, were enrolled. Participants were recruited from 5 sites in Canada and 1 in the United States. Prevalence of past-year problem gambling was assessed with the Canadian Problem Gambling Index. Associated comorbidities with problem gambling are presented. RESULTS: A total of 579 participants were enrolled (female: n = 379, male: n = 200). Prevalence of problem gambling did not differ significantly between the MDD (12.5%) and the BD (12.3%) groups. There was a significant difference in the prevalence of problem gambling between males (19.5%) and females (7.8%) in the BD group (chi-square = 8.695, df = 1, P = 0.003). Among people meeting criteria for problem gambling, the mood disorder was the primary onset condition in 71% of cases. People with a mood disorder with comorbid current panic disorder (OR = 1.96; 95% CI 1.02 to 3.75), obsessive-compulsive disorder (OR = 1.86; 95% CI 1.01 to 3.45), specific phobia (OR = 2.36; 95% CI 1.17 to 4.76), alcohol dependence (OR = 5.73; 95% CI 3.08 to 10.65), or lifetime substance dependence (OR = 2.05; 95% CI 1.17 to 3.58), had significantly increased odds of problem gambling. Problem gambling across MDD and BD populations was also associated with lower quality of life ratings. CONCLUSION: These results reaffirm a higher prevalence of gambling both in BD and in MDD populations, compared with previously published community samples. Our study also identifies risk factors for gambling behaviours within these populations.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".