A closer look at the relationship among accelerometer-based physical activity metrics: ICAD pooled data

Autor: Soyang Kwon, Lars Bo Andersen, Anders Grøntved, Elin Kolle, Greet Cardon, Rachel Davey, Susi Kriemler, Kate Northstone, Angie S. Page, Jardena J. Puder, John J. Reilly, Luis B. Sardinha, Esther M. F. van Sluijs, Kathleen F. Janz
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Behavioral Nutrition and Physical Activity, Vol 16, Iss 1, Pp 1-9 (2019)
Druh dokumentu: article
ISSN: 1479-5868
DOI: 10.1186/s12966-019-0801-x
Popis: Abstract Background Accelerometers are widely used to assess child physical activity (PA) levels. Using the accelerometer data, several PA metrics can be estimated. Knowledge about the relationships between these different metrics can improve our understanding of children’s PA behavioral patterns. It also has significant implications for comparing PA metrics across studies and fitting a statistical model to examine their health effects. The aim of this study was to examine the relationships among the metrics derived from accelerometers in children. Methods Accelerometer data from 24,316 children aged 5 to 18 years were extracted from the International Children’s Accelerometer Database (ICAD) 2.0. Correlation coefficients between wear time, sedentary behavior (SB), light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA), moderate- and vigorous-intensity PA (MVPA), and total activity counts (TAC) were calculated. Results TAC was approximately 22X103 counts higher (p
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