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

Mental Health Issues in Elderly Patients and Geriatric Psychiatry (88) Sleep Medicine (26) Sleep Medicine (26) Cognitive Training for the Elderly (94) Dementia and Cognitive Decline (474) Sleep Monitoring, Sleep Quality, Sleep Disorders (183) Cross-Sectional Studies in Public Health (271) Fitness Trackers and Smart Pedometers/Accelerometers (560) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1392) Cognitive Training for the Elderly (94) Dementia and Cognitive Decline (474) Sleep Monitoring, Sleep Quality, Sleep Disorders (183) Cross-Sectional Studies in Public Health (271) Fitness Trackers and Smart Pedometers/Accelerometers (560) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1392)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54353, first published .
Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study

Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study

Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study

Authors of this article:

Collin Sakal1 Author Orcid Image ;   Tingyou Li1 Author Orcid Image ;   Juan Li2 Author Orcid Image ;   Can Yang3 Author Orcid Image ;   Xinyue Li1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Collin Sakal   1 , BA, MSc ;   Tingyou Li   1 ;   Juan Li   2 , BA, MA, PhD ;   Can Yang   3 , BS, MPhil, PhD ;   Xinyue Li   1 , BA, MS, PhD

1 School of Data Science, City University of Hong Kong, Hong Kong, China (Hong Kong)

2 Center on Aging Psychology, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

3 Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China (Hong Kong)

Corresponding Author:

  • Xinyue Li, BA, MS, PhD
  • School of Data Science
  • City University of Hong Kong
  • 16/F, Lau Ming Wai Academic Building, 83 Tat Chee Avenue
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 34422180
  • Email: xinyueli@cityu.edu.hk