Associations between sleep patterns and depressive symptoms across disability types in Chinese middle-aged and older adults

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Authors: JING LI
Cited by: 0
References: 36

Abstract

Background Depression prevalence among elderly individuals with disabilities significantly exceeds that in the general population; however, sleep-depression associations across disability types remain poorly understood. This study examined associations between sleep patterns and depressive symptoms across disability types in Chinese middle-aged and older adults. Methods This study utilized data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), collecting demographic information, health status, and sleep patterns of participants. We included 1,997 participants aged ≥45 years with disabilities categorized into five types: physical, cognitive, visual, hearing, and multiple disabilities. Depressive symptoms were assessed using the CES-D-10 scale, with scores ≥10 indicating depressive symptoms. Multivariable logistic regression and restricted cubic splines were used to examine associations between sleep patterns and depressive symptoms across disability types. Results The overall prevalence of depressive symptoms was 52.63%, with the highest rate in participants with multiple disabilities (64.09%). Compared with short sleep, normal sleep (6-8 hours) reduced depression risk by 30-65% across all disability types. The strongest protective association was observed in visual impairment (OR=0.35, 95% CI: 0.22-0.55). Napping associations varied by disability type. Long napping (>90 minutes) was associated with a 62% lower risk of cognitive impairment (OR=0.38, 95% CI: 0.18-0.81), while short napping (

Fields of Study & Subjects

Sleep and related disorders Aging Health and Disability Health and Well-being Studies

Publication details

Journal / source
Archives of Gerontology and Geriatrics Plus
Volume
3
Issue
1
Pages
100256–100256
Publication date
4 February 2026
Language
EN