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dc.contributor.authorWatts, Amber
dc.contributor.authorWalters, Ryan W.
dc.contributor.authorHoffman, Lesa
dc.contributor.authorTemplin, Jonathan
dc.date.accessioned2016-04-25T18:57:12Z
dc.date.available2016-04-25T18:57:12Z
dc.date.issued2016-04-20
dc.identifier.citationWatts A, Walters RW, Hoffman L, Templin J (2016) Intra-Individual Variability of Physical Activity in Older Adults With and Without Mild Alzheimer’s Disease. PLoS ONE 11(4): e0153898. https://doi.org/10.1371/journal.pone.0153898en_US
dc.identifier.urihttp://hdl.handle.net/1808/20706
dc.descriptionAll data included in the analyses reported in this paper are fully available without restriction on KU Scholarworks at https://hdl.handle.net/1808/20544.

A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
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dc.description.abstractPhysical activity shows promise for protection against cognitive decline in older adults with and without Alzheimer’s disease (AD). To better understand barriers to adoption of physical activity in this population, a clear understanding of daily and weekly activity patterns is needed. Most accelerometry studies report average physical activity over an entire wear period without considering the potential importance of the variability of physical activity. This study evaluated individual differences in the amount and intra-individual variability of physical activity and determined whether these differences could be predicted by AD status, day of wear, age, gender, education, and cardiorespiratory capacity. Physical activity was measured via accelerometry (Actigraph GT3X+) over one week in 86 older adults with and without AD (n = 33 and n = 53, respectively). Mixed-effects location-scale models were estimated to evaluate and predict individual differences in the amount and intra-individual variability of physical activity. Results indicated that compared to controls, participants with AD averaged 21% less activity, but averaged non-significantly greater intra-individual variability. Women and men averaged similar amounts of physical activity, but women were significantly less variable. The amount of physical activity differed significantly across days of wear. Increased cardiorespiratory capacity was associated with greater average amounts of physical activity. Investigation of individual differences in the amount and intra-individual variability of physical activity provided insight into differences by AD status, days of monitor wear, gender, and cardiovascular capacity. All individuals regardless of AD status were equally consistent in their physical activity, which may have been due to a highly sedentary sample and/or the early disease stage of those participants with AD. These results highlight the value of considering individual differences in both the amount and intra-individual variability of physical activity.en_US
dc.publisherPublic Library of Scienceen_US
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleIntra-Individual Variability of Physical Activity in Older Adults With and Without Mild Alzheimer’s Diseaseen_US
dc.typeArticleen_US
kusw.kuauthorWatts, Amber
kusw.kudepartmentPsychologyen_US
dc.identifier.doi10.1371/journal.pone.0153898en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccess


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This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's license is described as: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.