Sexual Function, Activity, and Satisfaction Among Young Females with CKD
Bibliographic record
Abstract
Background: Up to 80% of women with chronic kidney disease (CKD) experience sexual dysfunction, though its link with sexual activity and sexual satisfaction is not known. Recent literature demonstrates that among older women with kidney failure treated with dialysis, the majority report sexual inactivity, few describe sexual dysfunction and most report high sexual satisfaction. Whether this applies to young females with CKD has not been described. Our objectives were to determine the incidence of sexual activity, sexual dysfunction and sexual satisfaction among young females with CKD. Methods: Females < 51 years old with CKD were recruited from nephrology clinics in Calgary, Alberta, Canada. Participants completed a modified version of the Female Sexual Function Index, a validated tool to assess sexual function. Results: Thirty-six females with CKD (61% hemodialysis, 14% peritoneal dialysis, 14% stage G3-5 CKD, 11% transplant) participated. The median age was 37 years old (IQR 32, 43) and all participants identified as cis-gender. Eighteen participants (51%) reported sexual activity, and 82% of these individuals met criteria for sexual dysfunction. Among all participants, only 23% reported satisfaction with their sex life, while 57% reported moderate to severe dissatisfaction. Sexual dissatisfaction was more common among women experiencing sexual dysfunction (p = 0.003). Conclusions: Young females with CKD are sexually active and experience a high incidence of both sexual dysfunction and dissatisfaction. These findings emphasize the importance of screening for sexual dysfunction and providing effective treatment options.
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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 | 0.001 |
| 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) | 0.002 | 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".