Screening of Anxiety and Depression in Patients With Fibromyalgia From 18 to 65 Years Old and Its Relationship With the Severity of Fibromyalgia and Quality of Life
Bibliographic record
Abstract
OBJECTIVE: To identify the relationship between anxiety and depression with the severity of fibromyalgia and quality of life in patients aged 18 to 65 years, clinic of rheumatology of Barranquilla. METHODS: Observational, descriptive, comparative cross-sectional study. Patients with fibromyalgia who attend the external consultation of rheumatology will be surveyed. The questionnaires to be applied are the Fibromyalgia Impact Questionnaire Revised (Spanish version), Health Questionnaire SF-36, Patient Health Questionnaire and a Scale of 7 questions for generalized anxiety disorder. The data collected in this descriptive study will be analyzed by means of frequency and association measures. The analysis of association between sociodemographic factors and clinical characteristics will be carried out with bivariate analysis and the comparison of qualitative or categorical variables will be done through the analysis of variance, to compare variables of ordinal type and variables of type ratio. RESULTS: 34.2% of the patients did not present anxiety whereas 83.6% of the patients had some degree of depression. 50% of the patients had moderate, severe and extreme degrees of depression. An association was found between severity of fibromyalgia with anxiety, depression and quality of life (p <0.05). CONCLUSION: A directly proportional relationship was found between the severity of depression and anxiety and the severity of FM. An elevated score in the FIQR, lower weighted scores for quality of life in the participants, in addition to greater severity in the scales GAD - 7 and PHQ - 9, all score to lower quality of life.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".