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This paper is in the following e-collection/theme issue:

Psychological, Behavioral, Social, and/or Cultural Experiments and Interventions (152) Dementia and Cognitive Decline (876) Insomnia and Sleep Hygiene (309) Sleep Monitoring, Sleep Quality, Sleep Disorders (344) Aging with Chronic Disease (529) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (305)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72886, first published .
Elderly woman sleeping peacefully in a comfortable bed.

Associations Between Sleep Duration and Cognitive Function Among Older Adults: Cross-Sectional Study

Associations Between Sleep Duration and Cognitive Function Among Older Adults: Cross-Sectional Study

Authors of this article:

Guolin Guo1 Author Orcid Image ;   Yanling Jiang1 Author Orcid Image ;   Jianteng Dong1 Author Orcid Image ;   Xu Zhao1 Author Orcid Image ;   Xiaofan Lai1 Author Orcid Image ;   Xiumei Wang2 Author Orcid Image ;   Hongguo Rong1, 3 Author Orcid Image ;   Jian Li1 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

Journals

  1. della Monica C, Ravindran K, Atzori G, Trender W, Hampshire A, Skene S, Hassanin H, Revell V, Dijk D. Within- and between-individual associations between sleep and cognition in older community-dwelling individuals. Frontiers in Aging 2026;6 View
  2. Yu K, Wang X, Shi Y. Maternal Age at Childbirth and Offspring Cognitive Function in Middle and Older Age: A Longitudinal Cohort Study. Developmental Neurobiology 2026;86(2) View
  3. Zhao X, Zheng Y, Wang Y, Liu S, Wang X, Chen F, Wang F. Long-term health outcomes of migration experiences during different life stages among middle-aged and older adults in China: a retrospective study using CHARLS data. BMJ Open 2026;16(5):e107521 View

Conference Proceedings

  1. Mohebi M, Tuleukhanov S, Turmakhan S, Nietbaeva G, Amangeldi I, Kazkenov A. 2026 IEEE 6th International Conference on Smart Information Systems and Technologies (SIST). Benchmarking of Classical and Modern Tabular Machine Learning Models for Sleep Efficiency Prediction View