Literature DB >> 26889588

The Influence of Epoch Length on Physical Activity Patterns Varies by Child's Activity Level.

Lindsay Nettlefold1,2, P J Naylor3, Darren E R Warburton2, Shannon S D Bredin2, Douglas Race1,2, Heather A McKay1,2.   

Abstract

PURPOSE: Patterns of physical activity (PA) and sedentary time, including volume of bouted activity, are important health indicators. However, the effect of accelerometer epoch length on measurement of these patterns and associations with health outcomes in children remain unknown.
METHOD: We measured activity patterns in 308 children (52% girls, age range = 8-11 years) using ActiGraph GT1M accelerometers with 15-s epochs and reintegrated to 60-s epochs. We calculated the volume (minutes per day) of moderate-to-vigorous PA (MVPA), sedentary time, light, moderate, and vigorous PA, as well as bouted MVPA and sedentary time (0-5 min, 5-10 min, 10-20 min, and > 20 min).
RESULTS: The difference between 15-s and 60-s epochs was statistically significant for all outcomes; however, effect sizes were small or negligible in 30% of comparisons. Bias ranged from 1.9 min/day (total MVPA) to 102.7 min/day (0-5 min sedentary bouts). Regression-based estimates of bias and 95% limits of agreement illustrated that the magnitude, and in some cases, the direction, of between-epoch differences varied with activity level. Correlations with body mass index and cardiovascular fitness were similar for 15-s (r = -.19 to .20) and 60-s (r = -.16 to .29) epochs. Estimated 15-s data (predicted from 60-s) were similar to measured data and had similar relationships with health outcomes.
CONCLUSION: Epoch length influences measurement of PA and sedentary patterns and the effect is modified by activity level. However, associations with health outcomes were similar and epoch differences can be adjusted. Future research should clarify the accuracy of different epoch lengths for measuring bouted activity and evaluate whether epoch length alters relationships with additional health outcomes.

Entities:  

Keywords:  Accelerometry; bouts; measurement

Mesh:

Year:  2016        PMID: 26889588     DOI: 10.1080/02701367.2015.1129046

Source DB:  PubMed          Journal:  Res Q Exerc Sport        ISSN: 0270-1367            Impact factor:   2.500


  6 in total

1.  Modifying Accelerometer Cut-Points Affects Criterion Validity in Simulated Free-Living for Adolescents and Adults.

Authors:  Paul R Hibbing; David R Bassett; Scott E Crouter
Journal:  Res Q Exerc Sport       Date:  2020-02-05       Impact factor: 2.500

2.  Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children.

Authors:  Christiana M T VAN Loo; Anthony D Okely; Marijka J Batterham; Trina Hinkley; Ulf Ekelund; Søren Brage; John J Reilly; Stewart G Trost; Rachel A Jones; Xanne Janssen; Dylan P Cliff
Journal:  Med Sci Sports Exerc       Date:  2017-04       Impact factor: 5.411

3.  Moving fast, thinking fast: The relations of physical activity levels and bouts to neuroelectric indices of inhibitory control in preadolescents.

Authors:  Dominika M Pindus; Eric S Drollette; Lauren B Raine; Shih-Chun Kao; Naiman Khan; Daniel R Westfall; Morgan Hamill; Rebecca Shorin; Emily Calobrisi; Dinesh John; Arthur F Kramer; Charles H Hillman
Journal:  J Sport Health Sci       Date:  2019-02-15       Impact factor: 7.179

4.  Influence of Epoch Length and Recording Site on the Relationship Between Tri-Axial Accelerometry-Derived Physical Activity Levels and Structural, Functional, and Hemodynamic Properties of Central and Peripheral Arteries.

Authors:  Mariana Gómez-García; Juan Torrado; Daniel Bia; Yanina Zócalo
Journal:  Front Sports Act Living       Date:  2022-02-24

5.  Physical activity and sedentary behavior following pediatric burns - a preliminary investigation using objective activity monitoring.

Authors:  Moniek Akkerman; Leonora J Mouton; Laurien M Disseldorp; Anuschka S Niemeijer; Marco van Brussel; Lucas H V van der Woude; Marianne K Nieuwenhuis
Journal:  BMC Sports Sci Med Rehabil       Date:  2018-02-09

6.  Application and Validation of Activity Monitors' Epoch Lengths and Placement Sites for Physical Activity Assessment in Exergaming.

Authors:  Jungyun Hwang; Austin Michael Fernandez; Amy Shirong Lu
Journal:  J Clin Med       Date:  2018-09-11       Impact factor: 4.241

  6 in total

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