TY - JOUR
T1 - Assessing Daily Physical Activity in Older Adults
T2 - Unraveling the Complexity of Monitors, Measures, and Methods
AU - Schrack, Jennifer A.
AU - Cooper, Rachel
AU - Koster, Annemarie
AU - Shiroma, Eric J.
AU - Murabito, Joanne M.
AU - Rejeski, W. Jack
AU - Ferrucci, Luigi
AU - Harris, Tamara B.
N1 - Funding Information:
The MRC National Survey of Health and Development is funded by the UK Medical Research Council. The authors wish to acknowledge the NSHD participants and scientific and data collection teams (led by Professor Diana Kuh and including members of the MRC Unit for Lifelong Health and Ageing at UCL and the MRC Epidemiology Unit, University of Cambridge). Dr. Cooper is funded by the UK Medical Research Council (program codes: MC-UU-12019/4 and MC-UU-12019/1). The Framingham Heart Study is supported by contract N01-HC-25195 and HHSN268201500001l of the National Heart, Lung and Blood Institute. The accelerometry study was supported by R01AG047645. The authors wish to acknowledge FHS participants and staff for participation in the Actical study. The Baltimore Longitudinal Study of Aging is supported by the Intramural Research Program of the National Institute on Aging. The authors wish to acknowledge BLSA participants and staff for participation in the study. Dr. Schrack is supported by K01AG048765 and HHSN311210300177P. The WHS accelerometry ancillary study was supported by research grants CA154647 from the National Institutes of Health. Dr. Shiroma was supported by the Intramural Research Program of the National Institutes of Health, National Institute on Aging. The Age, Gene/Environment Susceptibility-Reykjavik Study has been funded by NIA contract N01-AG-1-2100, the NIA Intramural Research Program, Hjartavernd (the Icelandic Heart Association), and the Althingi (the Icelandic Parliament). This work was also supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-0940903 and by the National Institutes of Health Intramural Research Program, study numbers: Z01 DK071013 and Z01 DK071014 to R.J.B. and K.Y.C. The researchers are indebted to the participants for their willingness to participate in the study.
Publisher Copyright:
© 2016 The Author. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - At the 67th Gerontological Society of America Annual Meeting, a preconference workshop was convened to discuss the challenges of accurately assessing physical activity in older populations. The advent of wearable technology (eg, accelerometers) to monitor physical activity has created unprecedented opportunities to observe, quantify, and define physical activity in the real-world setting. These devices enable researchers to better understand the associations of physical activity with aging, and subsequent health outcomes. However, a consensus on proper methodological use of these devices in older populations has not been established. To date, much of the validation research regarding device type, placement, and data interpretation has been performed in younger, healthier populations, and translation of these methods to older populations remains problematic. A better understanding of these devices, their measurement properties, and the data generated is imperative to furthering our understanding of daily physical activity, its effects on the aging process, and vice versa. The purpose of this article is to provide an overview of the highlights of the preconference workshop, including properties of the different types of accelerometers, the methodological challenges of employing accelerometers in older study populations, a brief summary of ongoing aging-related research projects that utilize different types of accelerometers, and recommendations for future research directions.
AB - At the 67th Gerontological Society of America Annual Meeting, a preconference workshop was convened to discuss the challenges of accurately assessing physical activity in older populations. The advent of wearable technology (eg, accelerometers) to monitor physical activity has created unprecedented opportunities to observe, quantify, and define physical activity in the real-world setting. These devices enable researchers to better understand the associations of physical activity with aging, and subsequent health outcomes. However, a consensus on proper methodological use of these devices in older populations has not been established. To date, much of the validation research regarding device type, placement, and data interpretation has been performed in younger, healthier populations, and translation of these methods to older populations remains problematic. A better understanding of these devices, their measurement properties, and the data generated is imperative to furthering our understanding of daily physical activity, its effects on the aging process, and vice versa. The purpose of this article is to provide an overview of the highlights of the preconference workshop, including properties of the different types of accelerometers, the methodological challenges of employing accelerometers in older study populations, a brief summary of ongoing aging-related research projects that utilize different types of accelerometers, and recommendations for future research directions.
KW - Exercise
KW - Functional performance
KW - Physical activity
KW - Physical function
KW - Physical performance
UR - http://www.scopus.com/inward/record.url?scp=84981266419&partnerID=8YFLogxK
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U2 - 10.1093/gerona/glw026
DO - 10.1093/gerona/glw026
M3 - Review article
C2 - 26957472
AN - SCOPUS:84981266419
SN - 1079-5006
VL - 71
SP - 1039
EP - 1048
JO - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
JF - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
IS - 8
ER -