High Burden of Sexual Dysfunction in Female Patients with Rheumatoid Arthritis: Results of a Cross-sectional Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effect of rheumatoid arthritis (RA) on impairing women's sexuality regarding motivation, activity, and satisfaction, and to assess the correlation of disease-related physical impairment within sexual functioning. METHODS: An anonymous survey among women with RA and healthy controls (HC) using standardized questionnaires, predominantly the Changes in Sexual Functioning Questionnaire-short form (CSFQ-14). In addition, disease activity, depression, and disability were evaluated. RESULTS: There were 319 questionnaires distributed to patients and 306 to HC. Of these, 235 patient questionnaires (73.7%) and 180 HC questionnaires (58.8%) were returned, of which 203 and 169 were completed, respectively. Of the patients with RA, 47.8% had a total CSFQ-14 score of ≤ 41, indicating female sexual dysfunction (FSD), as compared to 14.2% of HC (p < 0.0001). The median CSFQ-14 score was lower in patients with RA [42 points, interquartile range (IQR) 36-48] than in HC (49 points, IQR 44-54; p < 0.0001), resulting in an OR of 5.53 (95% CI 3.19-9.57; p < 0.0001). After adjustment for confounders, given a higher mean age of patients (55.2 ± 11.3 yrs) than HC (47.4 ± 11.8 yrs; p < 0.0001), the OR for FSD in patients with RA was still 3.04 (95% CI 1.61-5.75; p = 0.001). Neither the Health Assessment Questionnaire-Disability Index nor the Clinical Disease Activity Index was associated with FSD after adjustment. CONCLUSION: FSD apparently is highly prevalent in female patients with RA, affects all subdomains of sexual function, and is most likely underestimated in daily clinical practice. Of note, FSD could not be linked to disability or RA disease activity.
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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 | 0.001 |
| 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) | 0.002 | 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".