Characterizing behavioral activity rhythms in older adults using actigraphy

Ariel B. Neikrug, Ivy Y. Chen, Jake R. Palmer, Susan M. McCurry, Michael Von Korff, Michael Perlis, Michael V. Vitiello

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)
    7 Downloads (Pure)

    Abstract

    Wrist actigraphy has been used to assess sleep in older adult populations for nearly half a century. Over the years, the continuous raw activity data derived from actigraphy has been used for the characterization of factors beyond sleep/wake such as physical activity patterns and circadian rhythms. Behavioral activity rhythms (BAR) are useful to describe individual daily behavioral patterns beyond sleep and wake, which represent important and meaningful clinical outcomes. This paper reviews common rhythmometric approaches and summarizes the available data from the use of these different approaches in older adult populations. We further consider a new approach developed in our laboratory designed to provide graphical characterization of BAR for the observed behavioral phenomenon of activity patterns across time. We illustrate the application of this new approach using actigraphy data collected from a well-characterized sample of older adults (age 60+) with osteoarthritis (OA) pain and insomnia. Generalized additive models (GAM) were implemented to fit smoothed nonlinear curves to log-transformed aggregated actigraphy-derived activity measurements. This approach demonstrated an overall strong model fit (R2 = 0.82, SD = 0.09) and was able to provide meaningful outcome measures allowing for graphical and parameterized characterization of the observed activity patterns within this sample.
    Original languageEnglish
    Article number549
    Pages (from-to)1-16
    Number of pages16
    JournalSensors
    Volume20
    Issue number2
    DOIs
    Publication statusPublished - 19 Jan 2020

    Bibliographical note

    Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

    • actigraphy
    • circadian rhythms
    • older adults
    • behavioral activity rhythms

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