Understanding the Psychosocial Profile of Women with Fibromyalgia Syndrome
Bibliographic record
Abstract
Fibromyalgia syndrome (FMS) is a disease with a complex etiology characterized by symptoms of widespread pain and fatigue. FMS is more common in women. Both depression and anxiety have been found to be independently associated with the severity of pain in symptoms of FMS. The goal of the present study was to examine the psychosocial profile of women with FMS and to see how the attributions, perceived social support and cognitive biases of women with FMS are related to internalizing ratings of depression and anxiety. The current study included a sample of women with FMS from a local support group and a control group to examine how women with FMS differed from controls with respect to psychosocial variables, and to determine the relationship between these variables. Women with FMS reported a higher external locus of control, lower levels of adaptive cognitive bias, less perceived family support and lower mood than controls. Correlations between these variables were examined within the FMS group, and it was found that an external locus of control was significantly associated with higher ratings of anxiety and depressed mood. These results suggest that beliefs about locus of control and perceived family support of women with FMS may importantly impact their health outcomes, and that treatments related to locus of control and advocating for family support may considerably improve the quality of life of patients with FMS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".