Bibliographic record
Abstract
Sleep difficulties are often leading symptoms of psychiatric disorders. Furthermore, several longitudinal studies have demonstrated that untreated insomnia predicts the onset of mental health disorders. Other sleep disorders also often cause mood and/or anxiety symptoms. Furthermore, overlapping symptoms of sleep apnea, a sleep disorder with undoubted public health significance, and depression merits special attention. Sleep disorders have profound effect on daytime functioning causing daytime sleepiness, tiredness, fatigue and impaired cognitive functioning. These symptoms may severely affect both the quality of life of the patient and also the sleep and quality of life of their bedpartners and family members, as well. It is increasingly appreciated that the majority of medically ill patients suffer from sleep disorders and sleep complaints, which contribute to their impaired quality of life and clinical outcomes. “Sleep Health” is an important aspect of everyone's life but has a special relevance in mentally or medically ill patients. In our studies focusing on patients with various stages of chronic kidney disease (moderate to severe chronic renal failure, patients on dialysis and kidney transplant recipients) we have found high prevalence of sleep disorders (insomnia, Restless Legs Syndrome, Periodic Leg Movements in Sleep, Sleep apnea). We have shown that they are associated with the presence of depressive symptoms, increased illness intrusiveness and worse quality of life. Furthermore, RLS predicted mortality of kidney transplant recipients. In my presentation I will cover the most important aspects of the complex relationship between sleep disorders, mental and physical health and quality of life.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.190 | 0.077 |
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".