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Association between childhood trauma and loss of functionality in adult women with fibromyalgia

2013· article· en· W2074885167 on OpenAlexaff
Ana Paula Mezacaza Filippon, Diego G. Bassani, Rogério Wolf de Aguiar, Lúcia Helena Freitas Ceitlin

Bibliographic record

VenueTrends in Psychiatry and Psychotherapy · 2013
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFibromyalgiaDepression (economics)MedicineAssociation (psychology)Clinical psychologyPsychiatryPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate whether history of childhood trauma is associated with loss of functionality in adult women with fibromyalgia (FM). A secondary objective was to assess the presence of differences between depressed and non-depressed adult women with FM in a regression model for functionality. METHODS: A total of 114 adult women with FM according to the American College of Rheumatology diagnostic criteria answered the Childhood Trauma Questionnaire and the Fibromyalgia Impact Questionnaire. All subjects were interviewed by trained psychiatrists and evaluated for depression using the Mini International Neuropsychiatric Interview (MINI) - Brazilian version 5.0.0. Correlation and regression models were used to investigate associations between childhood trauma and loss of functionality among patients with FM. The sample was stratified by presence and absence of clinical depression. RESULTS: Overall, childhood trauma was associated with of loss of functionality in adult women with FM. When stratified by depression, the regression model significantly increased the association among non-depressed patients, even after adjustment for age and use of psychotropic medications. CONCLUSIONS: Childhood trauma showed a clinically important association with loss of functionality among adult women with FM. The associations were more pronounced among subjects without comorbid depression.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.283
Teacher spread0.271 · 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.

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

Citations14
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueTrends in Psychiatry and PsychotherapySame topicFibromyalgia and Chronic Fatigue Syndrome ResearchFrench-language works237,207