Little is known about the relationship between sleep duration and quality and the risk of arthritis in the older adult population of China. The participants were a prospective cohort of adults aged 65 years and over who had not had arthritis at baseline and had participated in follow-up surveys from 2011 to 2018 in the Chinese Longitudinal Health and Longevity Survey (CLHLS). A Cox proportional-hazards regression model was established. The dose-response relationship between sleep duration and the incidence of arthritis was analyzed. The results of a Cox proportional-risk regression model revealed that sleep duration and quality were associated with the risk of arthritis in the participants. Specifically, compared with participants with good sleep quality, those with poor sleep quality had a 38% higher risk of developing arthritis (hazard ratio [HR] = 1.38, 95% confidence interval [CI] = 1.09-1.74), and compared with participants with a sleep duration of 5 to 10 hours, those with a sleep duration shorter than 5 hours had a higher risk of developing arthritis (HR = 1.56, 95% CI = 1.27-1.91). Moreover, the results of a restricted cubic spline Cox proportional-hazards regression model showed that there was an approximately non-linear dose-response relationship between sleep duration and the incidence rate of arthritis (P nonlinear < .0001). Participants with poor sleep quality and a sleep duration shorter than 5 hours had a higher risk of developing arthritis than those with better sleep quality and a longer sleep duration.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11404932 | PMC |
http://dx.doi.org/10.1097/MD.0000000000039641 | DOI Listing |
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