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

Epidemiologic Studies and Surveys in Elder Care (189) Depression and Mood Disorders; Suicide Prevention (2484) Methods and New Tools in Mental Health Research (916) Dementia and Cognitive Decline (890) Insomnia and Sleep Hygiene (312) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (314) Mental Health Surveillance and Epidemiology (226)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76210, first published .
Elderly woman with gray hair in bed, holding her cheek in pain

Dynamic Interactions Among Sleep Duration, Cognitive Function, and Depressive Symptoms in Middle-Aged and Older Chinese Adults: Temporal Network Analysis From CHARLS

Dynamic Interactions Among Sleep Duration, Cognitive Function, and Depressive Symptoms in Middle-Aged and Older Chinese Adults: Temporal Network Analysis From CHARLS

Authors of this article:

Furong Chen1 Author Orcid Image ;   Jiaying Li2 Author Orcid Image ;   Junchen Guo3 Author Orcid Image ;   Ying Xiong4 Author Orcid Image ;   Zengjie Ye1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Yuan Y, Wang Y, Xu H, Pan M. Intrinsic capacity trajectory and hip fracture risk in Chinese middle-aged and older adults: a 10-year retrospective cohort study. Scientific Reports 2026;16(1) View
  2. Zhao Y, Zhang Y, Luo L. Association between Chinese visceral adiposity index and cognitive trajectory: A nationally representative prospective cohort study. Medicine 2026;105(24):e49279 View
  3. Lv Y, Wang N, Jia X, Yang Y. Dynamic association between sleep duration and depressive symptoms in middle-aged and older Chinese population: A secondary analysis of CHARLS data using panel vector autoregression. Psychiatry Research 2026;364:117352 View

Conference Proceedings

  1. Zhao J, Sh Abdullah S, Yu H, Zhang T, Lu Z, Liang B. Proceedings of the 2026 2nd International Conference on Health Informatization and Data Analysis. Explainable Machine Learning for Predicting Depressive Symptoms in Older Adults Living Alone: A CHARLS-Based Study View