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

Mental Health Issues in Elderly Patients and Geriatric Psychiatry (149) Sleep Medicine (40) Sleep Medicine (40) Cognitive Training for the Elderly (149) Dementia and Cognitive Decline (696) Sleep Monitoring, Sleep Quality, Sleep Disorders (268) Cross-Sectional Studies in Public Health (431) Fitness Trackers and Smart Pedometers/Accelerometers (665) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Cognitive Training for the Elderly (149) Dementia and Cognitive Decline (696) Sleep Monitoring, Sleep Quality, Sleep Disorders (268) Cross-Sectional Studies in Public Health (431) Fitness Trackers and Smart Pedometers/Accelerometers (665) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732)

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 (16) Tweetations (3) Metrics

Journals

  1. Liang Y, Wang C, Hsiao C. Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review. Journal of Medical Internet Research 2024;26:e59497 View
  2. Hong M, Kang R, Yang J, Rhee S, Lee H, Kim Y, Lee K, Kim H, Lee Y, Youn T, Kim S, Ahn Y. Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study. Journal of Medical Internet Research 2024;26:e65994 View
  3. Sakal C, Zhao W, Xu W, Li X. Effects of caffeine on accelerometer measured sleep and physical activity among older adults under free-living conditions. BMC Public Health 2024;24(1) View
  4. Sakal C, Li T, Li J, Li X. Predicting poor performance on cognitive tests among older adults using wearable device data and machine learning: a feasibility study. npj Aging 2024;10(1) View
  5. Feng T, Li R, Xu L. Associations of social isolation with memory and cognitive function in middle-aged and older Chinese adults. Aging Clinical and Experimental Research 2025;37(1) View
  6. Qin S, Ng E, Soon C, Chua X, Zhou J, Koh W, Chee M. Association between objectively measured, multidimensional sleep health and cognitive function in older adults: cross-sectional wearable tracker study. Sleep Medicine 2025;132:106569 View
  7. Sakal C, Chen T, Xu W, Zhang W, Yang Y, Li X. Towards proactively improving sleep: machine learning and wearable device data forecast sleep efficiency 4–8 hours before sleep onset. SLEEP 2025;48(8) View
  8. Li S, Wang Y, Li L, Wu H. The Relationship Between Sleep Disorders and Combination of Diabetes and Sarcopenia in Adults Aged 45 Years or Older: 10-Year Nationwide Prospective Cohort Study. JMIR Aging 2025;8:e66372 View
  9. Sun Y, Chen J, Ji M, Li X. Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map. Journal of Medical Internet Research 2025;27:e69077 View
  10. Stancu A, Rosca C, Iovanovici E. Applications of Machine Learning Algorithms in Geriatrics. Applied Sciences 2025;15(15):8699 View
  11. Shin Y, Shah S, Sejpal H, Wang H. Mapping the relationships among sleep, motor balance, and cognition in older adults: a systematic scoping review. Frontiers in Human Neuroscience 2025;19 View
  12. Yeh T, Huang Y, Ho S, Siow C, Lee H, Recio-Rodriguez J, Sung J, Tani J. Combined effect of cognitive dysfunction and sleep disturbance on mortality risk: NHANES 2011–2014. Annals of General Psychiatry 2025;24(1) View
  13. Durak B, Özol D, Saraç S. Sleep and neurocognitive function in the geriatric population: a cross-sectional comparison between nursing-home and community-dwelling older adults. Sleep and Breathing 2025;29(6) View
  14. Xia Y, He S, Sun Z, Wang F. The association between sleep variability and cognitive function: A systematic review and meta analysis. Journal of Affective Disorders 2026;393:120481 View
  15. Schwarz J, Freidle M, van Leeuwen W, Silfverling J, Åkerstedt T, Kecklund G. Daily fluctuations in sleep duration and quality affect next-day processing speed performance in young and older adults: an intensive longitudinal everyday life study over 21 days. SLEEPJ 2025 View
  16. Ding R, Liu X, Ding Y, Leng M, Yang L, Zhang A. Correlation analysis between sleep quality and depressive symptoms among rural elderly in China: An observational study. World Journal of Psychiatry 2025;15(12) View