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Record W7108200855 · doi:10.1016/j.ynstr.2025.100776

Hair stress hormones in individuals with a recent suicide attempt experiencing a depressive episode

2025· article· en· W7108200855 on OpenAlexaff

Bibliographic record

VenueNeurobiology of Stress · 2025
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsMcGill University
FundersDeutsche ForschungsgemeinschaftAmerican Foundation for Suicide Prevention
KeywordsBiopsychosocial modelMajor depressive episodeSuicide attemptHormoneDepression (economics)Poison controlDepressive symptoms

Abstract

fetched live from OpenAlex

Background: Stressful events and dysregulation of the hypothalamic-pituitary-adrenal (HPA)- axis contribute to the risk of suicide attempt (SA) in persons in depressive episodes. Hair cortisol, cortisone and dehydroepiandrosterone (DHEA) concentrations may serve as reliable indicators of HPA axis dysregulation prior to SA. Methods: < .012 threshold. Results: = .02). Childhood abuse and impulsiveness of the last SA were not related to hair stress hormones. Conclusions: Individuals with a recent history of SA showed alterations in the DHEA hair levels. These results partially support dysregulation of the HPA axis as a biopsychosocial feature of SA. Future longitudinal and experimental studies should investigate whether hair HPA axis hormones can serve as markers of suicidal crisis and vulnerability.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.276
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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