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Record W1979227493 · doi:10.1080/08870446.2011.563852

Openness to psychological explanations and treatment among people with Fibromyalgia<i>versus</i>Rheumatoid Arthritis

2011· article· en· W1979227493 on OpenAlexafffund
Naomi J. Gryfe Saperia, Leora C. Swartzman

Bibliographic record

VenuePsychology and Health · 2011
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsPsychogenic diseaseFibromyalgiaOpenness to experiencePsychosocialRheumatoid arthritisPsychologyClinical psychologyPerspective (graphical)PsychotherapistPsychiatryMedicineSocial psychologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The classic perspective in the psychosomatic literature is that patients with medically unexplained syndromes do not acknowledge psychologically-based causes for their conditions and will not engage in psychological treatments. These assumptions were tested by contrasting the illness models and reported treatment experiences of individuals with fibromyalgia (FM), a syndrome with a currently unknown organic origin, with those of individuals with rheumatoid arthritis (RA), a 'legitimate' (i.e. organic) condition. METHOD: 193 patients with FM and 176 with RA completed measures assessing their views about the causes of their condition, the treatments they had used and their judged effectiveness. RESULTS: Contrary to prediction, compared to patients with RA, patients with FM were more likely to endorse psychological causes for their condition and reported having used more psychological management approaches. Moreover, patients with FM considered psychological approaches to be more effective than narcotics. CONCLUSION: These findings indicate that patients with FM do not react defensively to the implication of psychogenic causes. Rather, as a group, they tend to acknowledge both the psychosocial influences on and the effectiveness of psychological management approaches for their condition.

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 score0.135
Threshold uncertainty score0.568

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)0.0010.000

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 head0.100
GPT teacher head0.387
Teacher spread0.287 · 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

Citations4
Published2011
Admission routes2
Has abstractyes

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