Association of anxiety, sleepiness, and sexual dysfunction with restless legs syndrome in hemodialysis patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Restless legs syndrome (RLS) is characterized by unpleasant sensations, pain in the legs along with irresistible urges to move the legs when at rest. It is often accompanied by sleep disturbance. The purpose of this study was to assess the association of anxiety and sleepiness with sexual function in hemodialysis patients with and without RLS. Sociodemographic parameters, laboratory data of hemodialysis patients from three dialysis centers were collected prospectively. Anxiety, sleepiness, sexual function, and presence of RLS symptoms were assessed with standardized questionnaires as the RLS Diagnosis and Scale, Hamilton Anxiety Rating Scale, Epworth Sleepiness Scale (ESS), Arizona Sex Experiences Scale (ASEX). Univariate, regression tree method were used for statistical analysis. RLS was observed in 45.9% (n = 113) of hemodialysis patients (n = 246). The mean age of patients and duration of hemodialysis were 59.7 ± 14.0 and 4.9 ± 4.2 years, respectively. The correlation between Arizona Sexual Experiences Scale (ASEX) and sociodemographic features was significant (P < 0.0001). Patients with RLS had higher scores for anxiety (9.4 ± 7.8 with RLS and 6.8 ± 6.0 without), higher ESS (ESS, 6.6 ± 5.2 with RLS and 4.6 ± 4.0 without), and higher ASEX (24.6 ± 5.7 with RLS and 22.5 ± 6.8 without) than did those without RLS. The presence of RLS symptoms in hemodialysis patients was associated with sleepiness, anxiety, and sexual dysfunction. A regression tree method, which is a different statistical method, can help physicians estimate patients ASEX, RLS, ESS, and anxiety scores.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it