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Record W2143705782 · doi:10.1176/appi.ajp.158.9.1509

Posttraumatic Stress Symptoms and Salivary Cortisol Levels

2001· article· en· W2143705782 on OpenAlexaff
Hymie Anisman, Jenna Griffiths, Kimberly Matheson, Arun V. Ravindran, Zul Merali

Bibliographic record

VenueAmerican Journal of Psychiatry · 2001
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsCarleton University
Fundersnot available
KeywordsStormMedicineInternal medicinePsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: This study assessed the relationship between posttraumatic stress symptoms and salivary cortisol levels after a severe ice storm. METHOD: Posttraumatic stress symptoms (Impact of Event Scale scores) and salivary cortisol levels were determined in 115 victims of an ice storm and in 27 healthy comparison subjects 1 month and approximately 1 year after the ice storm. RESULTS: One month after the storm, Impact of Event Scale scores for the victims (mean=20.31, SD=15.23) exceeded those of the comparison subjects (mean=5.30, SD=9.78) but were reduced approximately 1 year later (mean=14.01, SD=13.68). A quadratic relation was found to exist between Impact of Event Scale scores and cortisol levels. CONCLUSIONS: One month after the storm, cortisol levels were found to be elevated among the victims but were diminished among those with the highest Impact of Event Scale scores. This relationship was found not to exist approximately 1 year later.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.473
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.021
GPT teacher head0.288
Teacher spread0.267 · 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 teacher head, 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

Citations74
Published2001
Admission routes1
Has abstractyes

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