The Association of Childhood Maltreatment, Sex, and Hair Cortisol Concentrations With Trajectories of Depressive and Anxious Symptoms Among Adult Psychiatric Inpatients
Bibliographic record
Abstract
OBJECTIVE: Depression and anxiety symptoms are commonly observed among clinical populations, especially among women and maltreated individuals. Few investigations have, however, assessed the existence of distinct symptoms trajectories among clinical populations and how these relate to childhood maltreatment, sex differences, and stress physiology indexed by hair cortisol concentrations (HCCs). The current study a) identified distinct depression and anxious trajectories in a sample of psychiatric inpatients followed up prospectively from their admission to a psychiatric emergency service, and b) examined whether HCC, childhood maltreatment, and sex independently and jointly predict these trajectories. METHODS: Adult inpatients (n = 402; 55% women) were recruited upon admission to psychiatric emergency service (T1) during which HCC (reflecting cortisol secretion for the last 3 months), childhood maltreatment, and depression and anxiety symptoms were assessed. Symptoms were reevaluated when patients were discharged from the hospital (T2), admitted to outpatient clinics (T3), and 12 months later or at the end of outpatient treatment (T4). RESULTS: Three trajectories were identified for depression and anxiety symptoms. Among men, higher HCC predicted higher odds of evincing chronic depressive symptoms compared with a low stable trajectory (odds ratio [OR] = 3.46, 95% confidence interval [CI] = 1.43-8.40). Greater childhood maltreatment among men predicted higher chances of exhibiting chronic anxious symptoms than the low stable (OR = 1.47, 95% CI = 1.07-2.02) and the high decreasing trajectories (OR = 0.70, 95% CI = 0.51-0.95). Opposite findings were noted for women. CONCLUSIONS: Childhood maltreatment and HCC should be further investigated as predictors of anxious and depressive trajectories, during which sex-specific associations ought to be considered.
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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 | 0.000 | 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 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".