Sexual Activity, Function, and Satisfaction in Reproductive-Aged Females Living with Chronic Kidney Disease
Bibliographic record
Abstract
Up to 80% of women living with chronic kidney disease (CKD) experience sexual dysfunction, though its link with sexual activity and sexual satisfaction is not well understood. Among older women with CKD treated with hemodialysis, the majority report sexual inactivity, though few describe sexual difficulty and most report high sexual satisfaction. Whether this applies to reproductive-aged females living with CKD is yet unknown. This study aimed to assess the sexual activity, function, and satisfaction of reproductive-aged females living with CKD. Self-identified females aged 18-51 years with CKD were recruited from nephrology clinics in Calgary, Canada. Sexual activity, function, and satisfaction were assessed with a modified version of the Female Sexual Function Index. Fifty-seven participants were recruited (35% CKD without kidney replacement therapy, 44% CKD treated with hemodialysis, 9% CKD treated with peritoneal dialysis, 12% CKD treated with kidney transplant) and nearly half (47%) reported sexual activity. Among sexually active participants, there was a high prevalence of sexual dysfunction (67%) and only 25% of participants reported sexual satisfaction. A strong relationship between sexual function and satisfaction was identified. Reproductive-aged females living with CKD are sexually active, though experience high rates of sexual dysfunction and dissatisfaction. These findings emphasize the importance of recognition and management of sexual dysfunction in this important population.
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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 | 0.003 |
| 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".