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

doi:10.2196/11331

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JMIR Aging

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Published on 18.01.19 in Vol 2, No 1 (2019): Jan-Jun

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

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

Carolyn M. Parsey, Maureen Schmitter-Edgecombe

JMIR Aging 2019 (Jan 18); 2(1):e11331

According to Crossref, the following articles are citing this article (DOI 10.2196/11331):

(note that this is only a small subset of citations)

Gothe NP, Ehlers DK, Salerno EA, Fanning J, Kramer AF, 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
CrossRef
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
CrossRef

JMIR Aging

Citing this Article

Published on 18.01.19 in Vol 2, No 1 (2019): Jan-Jun

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

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