The data file is from a larger study on physical activity in older adults with and without Alzheimer’s disease conducted from 2012 to 2015. Each row of data represents one hour of activity as monitored by Actigraph GT3X+. Each participant has multiple rows of data. At least 8 hours of wear time per day and at least 4 days of valid wear time were required for inclusion in the data file. Variables include markers of the date and time of collection, the average vector magnitude count of activity (and the log transformation thereof), and participant demographic and health status characteristics. The file includes all the data that would be necessary to replicate the results reported in the paper by Watts, Walters, Hoffman, & Templin, Intra-individual Variability of Physical Activity in Older Adults with and without Mild Alzheimer’s Disease, Public Library of Science One (forthcoming, 2016). The code book gives descriptions for each variable and explains any coding used. These data are downloadable as a text file (.csv) and the codebook is downloadable (.PDF). Anyone is free to use these data for scholarly purposes, but must include a citation to this user guide in any papers, presentation, or published articles that employ these data. This work was supported by the National Institute on Aging of the National Institutes of Health (NIA 5P30AG035982-3) and a Clinical Translational Science Award grant from National Center for Advancing Translational Sciences awarded to the University of Kansas Medical Center for Frontiers: The Heartland Institute for Clinical and Translational Research (#UL1TR000001; formerly #UL1RR033179). The contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH or NCATS.
The PLOS One article that utilized this research data is available in KU ScholarWorks at http://hdl.handle.net/1808/20706.
Watts 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. doi: 10.1371/journal.pone.0153898