Disrupted Sleep Patterns and Daily Functioning in Patients with Chronic Pain
Bibliographic record
Abstract
OBJECTIVE: To investigate the role of disturbed sleep in the daily functioning of persons with chronic pain. subjects and METHODS: Participants comprised 287 patients seeking treatment for chronic pain at a university pain clinic. All patients completed the measures employed in the present study as part of a comprehensive initial evaluation. RESULTS: Descriptive analyses showed that 88.9% of patients reported as least one problem with disturbed sleep. Correlation analyses showed that greater sleep disturbance was associated with greater pain, disability, depression and physical symptoms, and less daily uptime. Hierarchical regression analyses showed that sleep disturbance predicted disability, daily uptime and physical symptoms independent of pain or depression. CONCLUSIONS: Sleep disruption is usually considered to be a consequence of the pain experience. However, the results of the present study reinforce the view that sleep disturbance may have a bidirectional relation with other features of chronic pain. Future studies should confirm that repairing disrupted sleep leads to an improvement in patients' daily activity and a reduction in their suffering.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".