Chronic pain can compromise sleep and quality of life in the older.
Bibliographic record
Abstract
Background: Age-related changes often disrupt sleep patterns, impacting overall health and quality of life, potentially leading to various health issues and societal challenges due to associated comorbidities and sleep deficiencies. Aim: Test the association of chronic pain with the quality of sleep and health-related quality of life of older. Methods: Clinical, anthropometric data, Pittsburgh Sleep Quality Index; Visual analogue scale; cognitive impairment; World Health Organization Quality of Life-OLD and functional mobility was verified. The means between the groups were compared using the Student's t test for independent samples, Spearman correlation coefficient (ρ) to test the associations and one-way analysis of variance to compare the means between the three age groups. Results: Were involved 131 older, predominantly female (87%), average age 68 ± 7 years. There was a moderate (ρ = 0.590) and significant (p <0.01) positive correlation between Pittsburgh Sleep Quality Index scores and chronic pain intensity and a negative moderate (ρ = - 0.57) and significant (p <0.01) correlation between quality of life and chronic pain.
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 | 0.000 | 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) | 0.003 | 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".