Relationship of Hair Cortisol with History of Psychosis, Neuropsychological Performance and Functioning in Remitted Later-Life Major Depression
Bibliographic record
Abstract
INTRODUCTION: Major depressive disorder (MDD) is associated with hypothalamic-pituitary-adrenal axis dysfunction that may persist into remission. Preliminary evidence suggests that this dysfunction may be associated with impaired neuropsychological performance in remitted MDD. MDD with psychotic features ("psychotic depression") is associated with greater neuropsychological and functional impairment than nonpsychotic depression, including in remission. Therefore, the aim of this exploratory study was to examine the relationships among hair cortisol concentration (HCC) - a marker of longer term endogenous cortisol exposure - and history of psychotic features, neuropsychological performance, and functioning in remitted MDD. METHODS: This cross-sectional study compared the relationship between HCC and (i) history of psychosis, (ii) neuropsychological performance, and (iii) everyday functioning in a group of 60 participants with remitted later-life MDD using Pearson's correlation coefficients. This study also measured HCC in a group of 36 nonpsychiatric volunteers to examine the clinical significance of HCC in the patient group. RESULTS: There were no statistically significant correlations between HCC and history of psychotic features, neuropsychological performance, or functioning. Furthermore, there was no clinically meaningful difference in HCC between patients and nonpsychiatric volunteers. CONCLUSION: This study is the first to examine HCC in psychotic depression. The results do not support the hypothesis that impaired neuropsychological performance, and everyday function in remitted psychotic depression is due to a sustained elevation of cortisol.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".