Adult Canadian Disordered Gambling and Poor Physical or Mental Health
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Disordered gambling has become the first recognized nonsubstance addiction. Low- and moderate-level gamblers have been found to be more likely to suffer health consequences. The purpose of this quantitative, cross-sectional, comparative study was to explore whether and to what extent being a disordered gambler in Canada increases the likelihood of having a concurrent physical or mental health problems (i.e., heart disease, diabetes and/or suicidal ideation or attempts). The research questions were whether there was a significant difference in having heart disease, diabetes, or suicidal ideations or attempts between Canadian adults who are and who are not disordered gamblers. The theoretical framework was Maslow’s hierarchy of needs, which was employed to analyze the importance of social and esteem needs. The study sample consisted of 127,462 respondents to the Canadian Community Health Survey, conducted in 2013. Chi-square and binary logistic regression analyses revealed that disordered gamblers were more likely to display suicidal ideation or attempts but less likely to report having been diagnosed with diabetes than their nonproblematic gambler counterparts. No significant association was found between disordered gambling and heart disease. Health care workers and other relevant stakeholders could use the findings as support when requesting funding dedicated to the prevention and treatment of mental health issues associated with disordered gambling. The findings could promote positive social change, as by offering better funding and support, it may be possible to lower cases of disordered gambling and, in turn, potentially decrease cases of suicidal ideation or attempts in affected individuals.
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.
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 | 0.001 |
| Science and technology studies | 0.001 | 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 it