E043 Relationship between pain, physical activity and sleep quality among individuals with radiographic knee osteoarthritis: findings from the Hertfordshire Cohort Study
Bibliographic record
Abstract
Abstract Background/Aims While several studies have evaluated the relationship between sleep and osteoarthritis (OA), few assessed the importance of physical activity to this relationship. We considered this in the Hertfordshire Cohort Study, a UK cohort of community-dwelling older adults who had been characterised for OA phenotypes. Methods At a research clinic, participants completed a questionnaire that included: the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC); the Pittsburgh Sleep Quality Index (PSQI); Longitudinal Aging Study Amsterdam Physical Activity Questionnaire (LAPAQ); and the Hospital Anxiety and Depression (HAD) Scale. Knee radiographs were taken and classified according to Kellgren and Lawrence (K&L) criteria; analyses were restricted to individuals with radiographic knee OA (K&L score ≥2 on either knee at the tibiofemoral or patellofemoral joint). 81 men and 88 women were included, aged 71-80. Logistic regression was used to examine the WOMAC knee pain score in relation to having poor sleep quality (PSQI>5) with adjustment for sex, age, and anxiety and depression scores; analyses were performed with and without stratification by physical activity category (bottom sex-specific tertile vs not). Results Knee pain prevalence (WOMAC pain score > 0) was 40.7% among men and 46.6% among women; 37.0% of men and 50.0% of women reported poor sleep quality (PSQI>5). Higher WOMAC knee pain scores were related to higher odds of poor sleep quality (Table 1). For example, the odds ratio (95% CI) for having poor sleep quality per unit increase in WOMAC knee pain score was 1.15 (1.01,1.32), p = 0.038. Relationships were similar in men and women, and across physical activity subgroups. Associations were also similar in sensitivity analyses after removing participants with more severe OA (K&L score ≥3). Conclusion In this cohort of community-dwelling older people with radiographic knee OA, sleep disturbance was common. We found associations between higher levels of reported knee pain and poorer sleep quality. However, these relationships did not differ according to physical activity level. Future work on larger populations, and among younger people who may be more physically active, is now required. Disclosure F.J. Kirkham-Wilson: None. L. Westbury: None. G. Bevilacqua: None. F. Laskou: None. N.O. Fuggle: None. E. Dennison: Consultancies; EMD has received consultancy fees from UCB, Pfizer and Viatris.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".