Low Quality of Life and Depressive Symptoms as an Independent Risk Factor for Erectile Dysfunction in Patients with Obstructive Sleep Apnea
Bibliographic record
Abstract
INTRODUCTION: Accumulating evidence indicates that obstructive sleep apnea (OSA) is associated with a high prevalence of erectile dysfunction (ED), but the factors that predict the risk of ED in OSA patients have yet to be defined clearly. AIMS: The aims of the present study were to investigate the clinical characteristics of OSA patients with ED and to identify plausible predictors of ED. METHODS: The present cross-sectional analysis included 713 male patients who visited Seoul National University Hospital for snoring and/or daytime sleepiness from 2006 to 2014. An in-laboratory polysomnography procedure was conducted to obtain objective recordings of OSA and other sleep parameters. MAIN OUTCOME MEASURES: The demographic data of all patients were obtained, and each patient completed all requirements of the following questionnaires: the Calgary Sleep Apnea Quality of Life Index (SAQLI), the Korean version of the International Index of Erectile Function (KIIEF-5), the Beck Depression Inventory (BDI), and the Epworth Sleepiness Scale (ESS). ED and OSA were defined as a KIIEF-5 < 21 and a respiratory disturbance index (RDI) ≥ 5, respectively. Depressive symptoms were defined as a BDI ≥ 10. RESULTS: The frequency of ED did not differ significantly according to OSA severity. In Spearman's correlation analysis, the BDI and the ESS were inversely correlated with the KIIEF-5, whereas the SAQLI was positively correlated with the KIIEF-5. The RDI and the lowest oxygen saturation (SaO2 ) did not exhibit significant correlations with the KIIEF-5. A multivariate logistic regression analysis adjusted for possible confounding factors showed that ED was independently associated with the SAQLI and depressive symptoms, but there was no significant association of ED with either the RDI or the lowest SaO2 . CONCLUSIONS: The present study demonstrated that depressive symptoms and a low quality of life specific to sleep apnea are independent risk factors for ED in OSA patients.
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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 | 0.001 | 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".