| Literature DB >> 23752299 |
Emily L Mailey1, Neha P Gothe, Thomas R Wójcicki, Amanda N Szabo, Erin A Olson, Sean P Mullen, Jason T Fanning, Robert W Motl, Edward McAuley.
Abstract
The criteria one uses to reduce accelerometer data can profoundly influence the interpretation of research outcomes. The purpose of this study was to examine the influence of 3 different interruption periods (i.e., 20, 30, and 60 min) on the amount of data retained for analyses and estimates of sedentary time among older adults. Older adults (N = 311, M age = 71.1) wore an accelerometer for 7 d and reported wear time on an accelerometer log. Accelerometer data were downloaded and scored using 20-, 30-, and 60-min interruption periods. Estimates of wear time, derived using each interruption period, were compared with self-reported wear time, and descriptive statistics were used to compare estimates of sedentary time. Results showed a longer interruption period (i.e., 60 min) yields the largest sample size and the closest approximation of self-reported wear time. A short interruption period (i.e., 20 min) is likely to underestimate sedentary time among older adults.Entities:
Mesh:
Year: 2013 PMID: 23752299 PMCID: PMC3875619 DOI: 10.1123/japa.2013-0021
Source DB: PubMed Journal: J Aging Phys Act ISSN: 1063-8652 Impact factor: 1.961