Components of Sleep Quality and Sleep Fragmentation in Rheumatoid Arthritis and Osteoarthritis
Bibliographic record
Abstract
OBJECTIVES: Poor sleep is increasingly recognized as contributing to a decreased quality of life, increased morbidity/mortality and heightened pain perception. The purpose of the present study was to assess components of sleep quality and self-identified contributors to sleep fragmentation in rheumatoid arthritis (RA) and osteoarthritis (OA) patient populations. METHODS: Consecutive RA and OA clinic patients were invited to participate in a self-administered questionnaire study which included the validated multi-domain Pittsburgh Sleep Quality Index (PSQI), visual analogue scales for pain, fatigue, global functioning, modified Health Assessment Questionnaire (mHAQ), stress scores, the Centre for Epidemiologic Studies-Depression (CES-D) score, the 36-item short form (SF-36) quality of life measure, the Rheumatoid Arthritis Disease Activity Index (RADAI), the Epworth Sleepiness Scale (ESS), Berlin score for obstructive sleep apnoea (OSA) risk and the International Restless Legs Syndrome Study Group (IRLSSG) diagnostic criteria. RESULTS: The study population included 145 RA and 78 OA patients. PSQI global scores were >5 in 62% of RA and 67% of OA patients. Multivariate analysis identified global functioning and the CES-D to be independent predictors for higher global PSQI scores in RA patients, whereas in OA patients predictors were the mHAQ and SF-36 mental component summary. Abnormalities in subjective sleep assessment, sleep latency, sleep duration, sleep efficiency, daytime dysfunction and increased sleep-aid medication use were observed in both populations. The most common abnormality reported by both RA and OA patients was increased sleep fragmentation. The most frequent self-identified cause for sleep disturbance was 'need to use the washroom' by 51% of RA and 49% of OA patients, and, second most common, 'pain' was identified as a cause for awakening by 33% of RA and 45% of OA patients. CONCLUSIONS: A high prevalence of abnormal sleep quality in both RA and OA patient populations was observed. The most common abnormality was sleep fragmentation, with an increased sleep disturbance score. 'Need to use the washroom' and 'pain' were the most common self-identified reasons for awakening from sleep. A review of sleep hygiene, optimization of urological status, and rheumatological disease symptomatic control may prove beneficial in terms of sleep health.
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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 | 0.001 | 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 | 0.000 | 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) | 0.001 | 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".