Pain management · 2026
Wearable-derived sleep architecture and chronic musculoskeletal pain: a national cohort study.
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Jevnikar Benjamin E, Mahatme Ronak J, Gerak Samuel K, Crites William A, Moore Shawn, Campa William, Koscielski Marissa, Grawe Brian
Аннотация
AIMS: Sleep disturbances are associated with chronic pain risk, but most large studies rely on self-reported sleep duration. We evaluated whether wearable-derived sleep architecture predicts incident musculoskeletal pain in a large United States national cohort.
MATERIALS AND METHODS: We analyzed 26,852 adults in the NIH All of Us Research Program with wearable sleep data. Average nightly sleep duration and percentage of deep sleep, a wearable-derived proxy for slow-wave sleep (SWS), were estimated prior to a 12-month washout period before diagnosis. Multivariable logistic regression evaluated associations with incident chronic hip, low back, neck, and shoulder pain. False discovery rate (FDR) correction was applied across site-specific models.
RESULTS: During follow-up, 3,949 participants (14.7%) developed chronic pain. Higher deep sleep predicted lower odds of hip pain (OR 0.73; p = 0.020) and low back pain (OR 0.72; p = 0.023). Longer sleep duration predicted hip (OR 1.09; p = 0.041) and neck pain (OR 1.11; p = 0.025). After FDR correction, only the associations between higher deep sleep and hip and low back pain remained significant.
CONCLUSIONS: Lower deep sleep was associated with higher risk of hip and low back pain. Wearable-derived sleep architecture may represent a potential marker associated with musculoskeletal pain risk, although these findings require prospective validation.
MATERIALS AND METHODS: We analyzed 26,852 adults in the NIH All of Us Research Program with wearable sleep data. Average nightly sleep duration and percentage of deep sleep, a wearable-derived proxy for slow-wave sleep (SWS), were estimated prior to a 12-month washout period before diagnosis. Multivariable logistic regression evaluated associations with incident chronic hip, low back, neck, and shoulder pain. False discovery rate (FDR) correction was applied across site-specific models.
RESULTS: During follow-up, 3,949 participants (14.7%) developed chronic pain. Higher deep sleep predicted lower odds of hip pain (OR 0.73; p = 0.020) and low back pain (OR 0.72; p = 0.023). Longer sleep duration predicted hip (OR 1.09; p = 0.041) and neck pain (OR 1.11; p = 0.025). After FDR correction, only the associations between higher deep sleep and hip and low back pain remained significant.
CONCLUSIONS: Lower deep sleep was associated with higher risk of hip and low back pain. Wearable-derived sleep architecture may represent a potential marker associated with musculoskeletal pain risk, although these findings require prospective validation.