Cancer, mental disorders, suicidal ideation and attempts in a large community sample
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
PURPOSE: To determine the association between cancer diagnosis, mental disorders and suicidal behavior among community dwelling adults. METHODS: Data were drawn from the nationally representative Canadian Community Health Survey Cycle 1.2 (N=36 984, response rate 77%, age 15+). Respondents were grouped into three age groups (15-54, 55-74, and 75+ years), and multiple regression analyses were conducted to examine the relationship between cancer and mental disorders: unadjusted and adjusted for sociodemographics, social supports and other mental disorders. RESULTS: Among respondents aged 15-54, cancer was associated with increased odds of major depression (odds ratio [OR]=3.18; 95% confidence interval [CI]: 1.69-5.96), panic attacks (OR=2.15; 95% CI: 1.22-3.77) and any mental disorder. Among respondents aged 55-75, cancer was associated with increased odds of agoraphobia (OR=5.94; 95% CI: 1.68-21.03) and decreased odds of social phobia (OR=0.22; 95% CI: 0.06-0.80). Cancer was not associated with any mental disorder in the 75+ age group. Results persisted after adjustments for the covariates. Suicidal ideation was associated with cancer in the 55-74 age group (OR=5.07; 95% CI: 1.25-20.47) in unadjusted models; however, this relationship became non-significant when adjusting for the other covariates. CONCLUSION: Clinicians should consider screening for depression and panic disorder in young, community dwelling patients with cancer.
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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 | 0.001 | 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 it