Evidence map›Paper›PMID 42231326›Full record

ArticleBMC public health2026

Sleep patterns and impaired cognitive function in adults aged ≥ 55 years: a longitudinal study in China.

Wei Zhang, DeQing Zeng, Yuge Yan, YiJing Chu, Yuqi Yang, Jing Guo, Jie Shen, Jiaoling Huang

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wei ZhangSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.
DeQing ZengSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Yuge YanSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.
YiJing ChuSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Yuqi YangShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Jing GuoSchool of Social Development & Public Policy, Fudan University, Shanghai, China.
Jie ShenMedical Records and Statistics Office, Shanghai Sixth People's Hospital, Shanghai, China.
Jiaoling HuangSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China. jiaoling_huang@sina.com.

Funding

Shanghai Municipal Health Commission GWVI-11.2-YQ54
6 · The paper itself

Abstract

backgroundResearch on sleep duration and cognitive function has primarily relied on cross-sectional designs or single-time assessments, overlooking the longitudinal patterns of sleep behavior. This study aims to explore the synergistic effects of nighttime sleep and daytime napping on cognitive changes.

methodsWe identified distinct long-term sleep patterns using Dynamic Time Warping -based K-medoids clustering analysis of three sleep data sets from 4,385 participants aged 55 and older. We examined the association between these patterns and cognitive decline and AACD-defined cognitive impairment incidence via linear mixed-effects models and time-censored Cox proportional hazards regression analysis.

resultsThree sleep pattern clusters were identified: Cluster 1 (moderate-stable sleep duration, increasing napping), Cluster 2 (long-stable sleep, frequent napping), and Cluster 3 (progressively shorter sleep, infrequent napping). Compared with Cluster 1, both Cluster 2 (β = -0.11, 95% CI: -0.16 to -0.05) and Cluster 3 (β = -0.09, 95% CI: -0.13 to -0.04) exhibited significantly greater cognitive decline. In fully adjusted Cox models, Cluster 3 was modestly associated with a higher likelihood of AACD-defined cognitive impairment (HR = 1.15, 95% CI: 1.02 to 1.23), while Cluster 2 showed no significant association.

conclusionsDistinct long-term sleep-nap patterns are differentially associated with cognitive outcomes. Shortening sleep duration over time with limited napping may be associated with a higher likelihood of AACD-defined cognitive impairment. These findings highlight the potential importance of monitoring longitudinal sleep behaviors in older adults, although further studies are needed to clarify the underlying mechanisms.

Indexed as

Cognitive DysfunctionSleepAgedChinaCluster AnalysisFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsSleep DurationAACD-defined cognitive impairmentDementiaOlder peopleSleep pattern

Identifiers

PMID42231326
PMCPMC13501763

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.