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

Mental Health Issues in Elderly Patients and Geriatric Psychiatry (116) Insomnia and Sleep Hygiene (208) Ecological Momentary Assessment (EMA) (350)

Published on in Vol 2, No 1 (2019): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11331, first published .
Using Actigraphy to Predict the Ecological Momentary Assessment of Mood, Fatigue, and Cognition in Older Adulthood: Mixed-Methods Study

Using Actigraphy to Predict the Ecological Momentary Assessment of Mood, Fatigue, and Cognition in Older Adulthood: Mixed-Methods Study

Using Actigraphy to Predict the Ecological Momentary Assessment of Mood, Fatigue, and Cognition in Older Adulthood: Mixed-Methods Study

Authors of this article:

Carolyn M. Parsey1 Author Orcid Image ;   Maureen Schmitter-Edgecombe2 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

Journals

  1. Gothe N, Ehlers D, Salerno E, Fanning J, Kramer A, McAuley E. Physical Activity, Sleep and Quality of Life in Older Adults: Influence of Physical, Mental and Social Well-being. Behavioral Sleep Medicine 2020;18(6):797 View
  2. Kim H, Lee S, Lee S, Hong S, Kang H, Kim N. Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone. JMIR mHealth and uHealth 2019;7(10):e14149 View
  3. Difrancesco S, Penninx B, Antypa N, van Hemert A, Riese H, Lamers F. The day-to-day bidirectional longitudinal association between objective and self-reported sleep and affect: An ambulatory assessment study. Journal of Affective Disorders 2021;283:165 View
  4. Sun-Suslow N, Campbell L, Tang B, Fisher A, Lee E, Paolillo E, Heaton A, Moore R. Use of digital health technologies to examine subjective and objective sleep with next-day cognition and daily indicators of health in persons with and without HIV. Journal of Behavioral Medicine 2022;45(1):62 View
  5. Hong S, Lee S, Song K, Kim M, Kim Y, Kim H, Kim H. A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study. International Journal of Nursing Studies 2023;138:104431 View
  6. Carlozzi N, Freedman J, Troost J, Carson T, Molton I, Ehde D, Najarian K, Miner J, Boileau N, Kratz A. Daily Variation in Sleep Quality is Associated With Health-Related Quality of Life in People With Spinal Cord Injury. Archives of Physical Medicine and Rehabilitation 2022;103(2):263 View
  7. Wild C, Norton L, Menon D, Ripsman D, Swartz R, Owen A. Disentangling the cognitive, physical, and mental health sequelae of COVID-19. Cell Reports Medicine 2022;3(10):100750 View
  8. Wild C, Norton L, Menon D, Ripsman D, Swartz R, Owen A. Disentangling the Cognitive, Physical, and Mental Health Sequalae of COVID-19. SSRN Electronic Journal 2022 View
  9. Aggarwal A, Chen S, Lee J, Tracy A, Qiao S, Li X, Yang C. Time‐lagged associations of mindfulness and self‐regulation with affect and cognition: An ecological momentary assessment study. Mental Health Science 2024;2(2) View
  10. Schmitter-Edgecombe M, Luna C, Dai S, Cook D. Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment. The Clinical Neuropsychologist 2024:1 View
  11. Hickman R, D’Oliveira T, Davies A, Shergill S. Monitoring Daily Sleep, Mood, and Affect Using Digital Technologies and Wearables: A Systematic Review. Sensors 2024;24(14):4701 View