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Record W2087147335 · doi:10.1002/smi.1269

Traumatic events, perceived stress and health in women with fibromyalgia and healthy controls

2009· article· en· W2087147335 on OpenAlexaff
Bruce W. Smith, Zsuzsanna Z. Papp, Erin M. Tooley, Erica Q. Montague, Amanda E. Robinson, Cynthia J. Cosper

Bibliographic record

VenueStress and Health · 2009
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsFibromyalgiaMental healthPhysical healthTraumatic stressClinical psychologyPsychologyPsychiatryMedicineOccupational safety and health

Abstract

fetched live from OpenAlex

Abstract This study examined the relationship between trauma, stress and health in 41 women with fibromyalgia (FM) and 44 women who were healthy controls (HC). The participants were assessed for traumatic events, perceived stress and mental and physical health. Perceived stress was related to worse mental and physical health in both groups. Traumatic events were related to worse mental and physical health in the FM group but were unrelated to health in the HC group. Perceived stress partially mediated the effect of traumatic events on mental and physical health in the FM group. Finally, adult abuse partially mediated the effects of child abuse on adult stress and health. Trauma may have lasting effects on stress and health in women with FM. Copyright © 2009 John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.341
Teacher spread0.309 · 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

Citations24
Published2009
Admission routes1
Has abstractyes

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