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Record W2099746354 · doi:10.6000/1927-5129.2014.10.67

Mental Health Status in Patients with Fibromyalgia

2014· article· en· W2099746354 on OpenAlexvenueno aff
Sousan Kolahi, Ali Fakhari, Mehrzad Hajaliloo, Alireza Khabbazi, Sahar Hassanzadeh Dizaj, Mahdi Hemati

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsFibromyalgiaAnxietyDepression (economics)MedicineVisual analogue scalePsychosocialInsomniaQuality of life (healthcare)General Health QuestionnairePsychiatryPhysical therapyMental health

Abstract

fetched live from OpenAlex

Background: It has long been shown that chronic conditions are usually accompanied by psychosocial disorders. Fibromyalgia (FM) is not an exception in this regard. The aim of this study is to evaluate the mental health in FM patients.Methods: In an analytic-descriptive setting, patients with diagnosis of FM were inquired according to general health questionnaire-28 (GHQ-28) and severity of pain was inquired based on visual analogue scale (VAS). Somatic symptoms, anxiety/insomnia, social dysfunction and severe depression were assessed.Results: One hundred female patients with mean age of 44.66±11.34 years were enrolled. According to GHQ-28, 55% of the patients with FM have suffered from psychological abnormalities.The prevalence of suspected psychological disorders, were 68 % in ""somatic symptoms"", 18% in “depression” and ""anxiety and insomnia"" and 53% in ""social dysfunction"". There were a significant positive correlation between VAS and level of somatic symptoms, social dysfunction and severe depression.Conclusion: This study showed that a considerable portion of patients with FM may suffer concurrently from psychological disorders. The probability of these diseases increases with the severity of pain, hence effective pain reducing policies may be useful in providing a better quality of life.

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)0.001
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 score0.029
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.013
GPT teacher head0.280
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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Basic & Applied SciencesSame topicFibromyalgia and Chronic Fatigue Syndrome ResearchFrench-language works237,207