Overactive Bladder Is Associated with Erectile Dysfunction and Reduced Sexual Quality of Life in Men
Bibliographic record
Abstract
INTRODUCTION: The prevalence of sexual dysfunction, including erectile dysfunction (ED), is greater in men with lower urinary tract symptoms (LUTS), including overactive bladder (OAB), than in men without LUTS. AIM: To evaluate the prevalence of ED, the impact of urinary symptoms on sexual activity and sexual enjoyment, and sexual satisfaction in men with OAB. METHODS: A nested case-control analysis was performed on data from a subset of men with (cases) and without (controls) OAB frequency-matched for age (5-year age strata) and country from the EPIC study. Respondents were asked about OAB symptoms (using the 2002 International Continence Society [ICS] definitions) and sexual activity. Sexually active respondents were asked about ED, sexual enjoyment, and overall satisfaction with their sex lives. Conditional logistic regression was used to assess factors associated with ED. MAIN OUTCOME MEASURES: The percentage of cases and controls reporting ED, a reduction in the frequency of sexual activity or enjoyment of sexual activity because of urinary symptoms, and overall satisfaction with their sex lives was determined for cases and controls. RESULTS: A total of 502 cases and 502 controls were matched for age strata and country. Significantly more cases (14%) reported reduced sexual activity because of urinary symptoms compared with controls (4%; P <or= 0.05). Among sexually active respondents, cases were significantly more likely to have ED than were controls (prevalence odds ratio, 1.5; 95% confidence interval, 1.1-2.2); the prevalence of ED was similar to that for men with hypertension or diabetes. Significantly more cases (15%) reported decreased enjoyment of sexual activity because of urinary symptoms relative to controls (2%; P <or= 0.05), and significantly fewer cases were satisfied with their sex lives (81% vs. 90%; P
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".