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Record W2123339815 · doi:10.25011/cim.v30i2.986

The relationship between stress and hair cortisol in healthy pregnant women

2007· article· en· W2123339815 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueClinical and investigative medicine · 2007
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsSickKids FoundationWestern UniversityUniversity of TorontoSt. Joseph's HospitalHospital for Sick Children
FundersCanadian Institutes of Health Research
KeywordsBiomarkerMedicinePregnancyInternal medicinePrenatal stressPhysiologyEndocrinologyPerceived Stress ScaleChronic stressGestational ageStress (linguistics)GestationBiology

Abstract

fetched live from OpenAlex

PURPOSE: Stress has been shown to cause a large range of adverse fetal effects. This pilot study is the first attempt to examine cortisol level in the hair of pregnant women and assess its potential as a biomarker of gestational stress. PATIENTS AND METHODS: Twenty-five healthy pregnant women, in whom hair cortisol levels and the Perceived Stress Scale (PSS) were measured and correlated. RESULTS: Maternal hair cortisol levels, ranging between 0.06 and 0.23 nmol/g of hair correlated positively and significantly with measures of perceived stress (ranging between 2-22); (Rs=0.47) (P < 0.05). CONCLUSIONS: Our findings corroborate recent primate studies with induced stress, and suggest that hair cortisol is a potential biomarker of chronic stress in pregnancy. This new long term biological marker may have important implications in research and clinical practice.

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.

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)0.001
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.008
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 head0.296
GPT teacher head0.412
Teacher spread0.116 · 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