Effects of Varying Epoch Lengths, Wear Time Algorithms, and Activity Cut-Points on Estimates of Child Sedentary Behavior and Physical Activity from Accelerometer Data

Jorge A Banda, K Farish Haydel, Tania Davila, Manisha Desai, Susan Bryson, William L Haskell, Donna Matheson and Thomas N Robinson

PLOS ONE, 2016, vol. 11, issue 3, 1-13

Abstract: Objective: To examine the effects of accelerometer epoch lengths, wear time (WT) algorithms, and activity cut-points on estimates of WT, sedentary behavior (SB), and physical activity (PA). Methods: 268 7–11 year-olds with BMI ≥ 85th percentile for age and sex wore accelerometers on their right hips for 4–7 days. Data were processed and analyzed at epoch lengths of 1-, 5-, 10-, 15-, 30-, and 60-seconds. For each epoch length, WT minutes/day was determined using three common WT algorithms, and minutes/day and percent time spent in SB, light (LPA), moderate (MPA), and vigorous (VPA) PA were determined using five common activity cut-points. ANOVA tested differences in WT, SB, LPA, MPA, VPA, and MVPA when using the different epoch lengths, WT algorithms, and activity cut-points. Results: WT minutes/day varied significantly by epoch length when using the NHANES WT algorithm (p

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0150534

DOI: 10.1371/journal.pone.0150534

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