The association between depression and thyroid disorders in a regionally representative Canadian sample
Bibliographic record
Abstract
A subsample of six provinces (n = 67,621) from the 2005 Canadian Community Health Survey was used to determine the gender-specific prevalence of depression among those with and without thyroid disorders. Information was not available on the type of thyroid disorder. Logistic regression analyses were conducted to determine the odds and socio-demographic correlates of depression among those with and without thyroid disorders. Women had a significantly higher prevalence of thyroid disorders (9.3%) and depression (6.6%) than men (2.4% and 3.7%, respectively). Thyroid disorders were associated with 22% higher odds of depression in women after adjusting for socio-demographic factors, but no association was found in men. Among women with and without thyroid disorders, younger age, lower income, and limitations in Activities in Daily Living (ADL) were associated with higher odds of depression. Results suggest that women with thyroid disorders are more vulnerable to depression, and socio-demographic correlates of depression are similar among women with and without thyroid disorders.
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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 | 0.001 | 0.001 |
| 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".