Defining Accelerometer Nonwear Time to Maximize Detection of Sedentary Time in Youth.

Autor: Cain KL; 1 University of California, San Diego., Bonilla E; 1 University of California, San Diego., Conway TL; 1 University of California, San Diego., Schipperijn J; 2 University of Southern Denmark., Geremia CM; 1 University of California, San Diego., Mignano A; 1 University of California, San Diego., Kerr J; 1 University of California, San Diego., Sallis JF; 1 University of California, San Diego.
Jazyk: angličtina
Zdroj: Pediatric exercise science [Pediatr Exerc Sci] 2018 May 01; Vol. 30 (2), pp. 288-295. Date of Electronic Publication: 2017 Dec 23.
DOI: 10.1123/pes.2017-0132
Abstrakt: Purpose: The present study examined various accelerometer nonwear definitions and their impact on detection of sedentary time using different ActiGraph models, filters, and axes.
Methods: In total, 61 youth (34 children and 27 adolescents; aged 5-17 y) wore a 7164 and GT3X+ ActiGraph on a hip-worn belt during a 90-minute structured sedentary activity. Data from GT3X+ were downloaded using the Normal filter (N) and low-frequency extension (LFE), and vertical axis (V) and vector magnitude (VM) counts were examined. Nine nonwear definitions were applied to the 7164 model (V), GT3X+LFE (V and VM), and GT3X+N (V and VM), and sedentary estimates were computed.
Results: The GT3X+LFE-VM was most sensitive to movement and could accurately detect observed sedentary time with the shortest nonwear definition of 20 minutes of consecutive "0" counts for children and 40 minutes for adolescents. The GT3X+N-V was least sensitive to movement and required longer definitions to detect observed sedentary time (40 min for children and 90 min for adolescents). VM definitions were 10 minutes shorter than V definitions. LFE definitions were 40 minutes shorter than N definitions in adolescents.
Conclusion: Different nonwear definitions are needed for children and adolescents and for different model-filter-axis types. Authors need to consider nonwear definitions when comparing prevalence rates of sedentary behavior across studies.
Databáze: MEDLINE