Self-Reported Allergies and Their Relationship to Several Axis I Disorders in a Community Sample
Bibliographic record
Abstract
OBJECTIVE: Several community studies have identified associations between allergies and depressive symptoms. In this study, we evaluated the association between self-reported allergies and several Axis I disorders in a community population. METHOD: The data source was the 2002 Canadian Community Health Study. This study included the Composite International Diagnostic Interview, and collected self-report data about food and environmental allergies. Crude associations were estimated and logistic regression was subsequently used to adjust for demographic variables. RESULTS: Self-reported allergies to food and non-food allergies were associated with mood and anxiety disorders, but not to substance dependence. The adjusted odds ratio for major depression in subjects reporting food allergies was 1.8 (95% CI 1.5-2.3) and for other allergies was 1.5 (95% CI 1.2-1.7). Associations of comparable strength were observed for bipolar disorder and for panic disorder/agoraphobia. The association with social phobia was statistically significant, but not as strong. CONCLUSIONS: Cross-sectional epidemiological data are most useful for descriptive purposes. This study is the first to confirm the presence of an association between allergies and mood and anxiety disorders, as opposed to symptom ratings, in a general population sample. Substance use disorders are not associated with self-reported allergies.
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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 | 0.002 | 0.002 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".