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DOI 10.1177/19427891261459303

Медицинская библиотека · Population health management · 2026

When Sleep Hurts the Joints: Longitudinal Associations of Sleep Quality and Duration with Incident Arthritis in the English Longitudinal Study of Aging.

Yang Hao, Lu Bowen, Wang Ziyue

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Аннотация

To examine the associations of sleep quality, sleep duration, and their trajectories with the risk of incident arthritis in middle-aged and older adults in the United Kingdom. Data from waves 4 to 8 of the English Longitudinal Study of Aging were used. We included 3028 participants aged ≥50 years without arthritis at baseline, followed for ∼8 years. Sleep quality was assessed using the Jenkins Sleep Scale (JSS), categorized as good, intermediate, or poor. Sleep duration was divided into tertiles. Incident arthritis was self-reported and physician-diagnosed. Associations were estimated using multivariable logistic regression and stratified analyses, including restricted cubic spline (RCS) models to explore dose-response relationships. Overall, 559 cases of incident arthritis were identified. Both intermediate and good sleep quality were associated with a lower risk of arthritis compared to poor sleep (odds ratio [OR] intermediate = 0.71, OR good = 0.55, P for trend < 0.001). The longest sleep tertile (Q3) showed a modest protective effect (OR = 0.72). RCS analysis revealed a significant linear dose-response relationship between JSS scores and arthritis risk. Sensitivity analyses of sleep-quality trajectories showed lower arthritis risk in all but the stable poor pattern, with the lowest risk in the stable good group (OR = 0.44). Poor subjective sleep quality is a more consistent predictor of arthritis than short-sleep duration alone, with a clear dose-response gradient. Improving poor sleep quality may be key to reducing arthritis risk.

Для цитирования: Yang Hao, Lu Bowen, Wang Ziyue. When Sleep Hurts the Joints: Longitudinal Associations of Sleep Quality and Duration with Incident Arthritis in the English Longitudinal Study of Aging.. Population health management. 2026. DOI: 10.1177/19427891261459303.
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