0837 Could sleep quality and excessive sleepiness be associated with knee pain? A cross-sectional study

Abstract

Abstract Introduction Osteoarthritis (OA) is common among the older population, and sleep deprivation and depression appear to be associated with worse OA pain. The scientific literature is inconsistent in respect of overall sleep quality and daytime sleepiness in studies that consider knee pain specifically. To examine the association between sleep quality, daytime sleepiness and knee pain in older adults. Methods This was a cross-sectional study. The sleep quality was assessed by Pittsburgh Sleep Quality Index (PSQI) and sleepiness was evaluated by Epworth Sleepiness Scale. Older adults with knee pain classified as having OA according to the National Institute for Health and Care Excellence (NICE) guidelines. Eligibility criteria were preserved cognitive functions and being over 60 years old. Logistic regression analyses, adjusted for potential covariates (age, body mass index and sex), were performed to assess potential associations between sleep parameters and knee pain. Results The total sample was 451 older adults. Poor sleepers were associated with knee pain (OR=1.93, 95%Confidence interval [CI]: 1.26 to 299). Participants with daytime sleepiness were related with knee pain (OR=1.68, 95%CI: 1.100 to 2.80). Conclusion Sleep quality and daytime sleepiness were correlated with knee pain in the older adults. Social sleep education strategies for patients with knee pain may be important for pain control. Therefore, these variables are important in the management of patients with knee pain. Future studies should investigate whether there is a prognostic relationship between sleep quality and knee pain in the older population. Support (if any) Our studies are supported by grants from the Associacão Fundo de Incentivo à Pesquisa (AFIP) and the Sao Paulo Research Foundation (FAPESP 2022/00328-5 to VAK). CG and PKM are supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES)-Finance Code 001). GLF is supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq—#141445/2021-1). MLA, ST and RZP are Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) fellowship recipientes.