Sleep health and its assessment and management in physical therapy practice: The evidence
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
Sleep and sleep deprivation have become major health issues in our modern society. Impaired sleep can negatively affect physical and psychological well-being, and conversely, certain common conditions can impair sleep. Furthermore, insufficient or disrupted sleep can contribute to functional impairments. As health care professionals, physical therapists are singularly concerned with function and well-being. To understand the role of sleep and sleep deprivation on health, this article describes sleep, our contemporary culture of sleeplessness, insomnia, sleep needs, the physical cost of inadequate sleep, the psychological cost of sleep deprivation, and the effects of sleep debt on safety. How to assess an individual's sleep debt is then described, and a sleep inventory questionnaire and scoring scale are presented. Evidence-based recommendations for optimizing sleep are outlined, and these can be readily implemented by the busy clinician. The sleep inventory questionnaire can be used to evaluate the outcome of these recommendations or other interventions as well as serve as an assessment tool. Based on the literature, the assessment and evaluation of sleep and basic sleep recommendations need to be considered as fundamental clinical competencies in contemporary physical therapy care.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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