Rates and correlates of sexual activity and impairment among women with systemic sclerosis
Bibliographic record
Abstract
OBJECTIVE: To assess 1) the rates of sexual activity and impairment, 2) clinical correlates of sexual activity/impairment, and 3) common sources of pain during and after sex in a large sample of female patients with systemic sclerosis (SSc; scleroderma). METHODS: We performed a cross-sectional multicenter study of female SSc patients from the Canadian Scleroderma Research Group Registry. Patients underwent medical examinations and clinical histories and were asked whether they had engaged in sexual activities with their partner in the past 4 weeks. Sexually active patients completed a 9-item version of the Female Sexual Function Index (FSFI) and items related to problems that may be linked to sexual dysfunction in SSc. Multivariate logistic regressions assessed independent predictors of activity/inactivity and sexual dysfunction. RESULTS: A total of 226 (41%) of 547 patients, including 215 (54%) of the 401 patients currently in relationships, reported having engaged in sexual activities with a partner in the past 4 weeks. Among 165 sexually active patients with complete data for all variables, 102 (62%) had FSFI total scores ≤22.5, indicating impaired function. Seventeen percent of the patients were sexually active and not impaired. Independent predictors (P < 0.05) of sexual activity were younger age, fewer gastrointestinal symptoms, and less severe Raynaud's phenomenon symptoms. Sexual impairment was independently associated with older age, higher skin scores, and more severe breathing problems. Vaginal pain was 8 times more likely among women with impairment. CONCLUSION: Research is needed to compare the extent of activity and impairment in SSc compared to women without SSc and to develop interventions to address impaired sexual function in women with SSc.
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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 | 0.003 |
| 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".