Childhood adversities associated with major depression and/or anxiety disorders in a community sample of Ontario: Issues of co-morbidity and specificity
Bibliographic record
Abstract
It has been well established that early adversity is a major risk factor for depression and for anxiety disorders in various populations and age groups. Few studies have considered the relative strength of these associations and the possible role of co-morbid depression/anxiety in understanding them. Using data from a large community sample of Ontario, Canada, we examined the relative strength of the associations between early physical abuse, sexual abuse, and/or parental strain with depression alone, anxiety alone, and co-morbid depression/anxiety. The current sample consisted of 6,597 individuals 15-64 years of age who were interviewed using the World Health Organization Composite International Diagnostic Interview (CIDI). Using a multivariate design, we compared early adversity scores across four diagnostic study groups including normal controls, individuals with major depression but no anxiety disorders, individuals with one or more anxiety disorders without major depression, and individuals with co-morbid major depression and anxiety. Individuals with past disorders were considered separately from those with current disorders. For both past and current disorders, highly significant differences in early adversity scores were found across the four study groups. A novel and robust finding, consistent across all analyses, was a marked association between early sexual abuse and co-morbid depression and anxiety but not the "pure" disorders. A strong association between early parental strain and major depression (independent of anxiety) was also found. The overall pattern of results suggest that there may be unique relationships linking particular adversities to particular manifestations of depression and anxiety disorders later in life. A particularly strong association between early sexual abuse and co-morbid depression/anxiety was found.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".