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Adapting the Intensity Gradient for Use with Count-Based Accelerometry Data in Children and Adolescents

Authors :
Christina J. Alexander
Sarah L. Manske
W. Brent Edwards
Leigh Gabel
Source :
Sensors, Vol 24, Iss 10, p 3019 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The intensity gradient is a new cutpoint-free metric that was developed to quantify physical activity (PA) measured using accelerometers. This metric was developed for use with the ENMO (Euclidean norm minus one) metric, derived from raw acceleration data, and has not been validated for use with count-based accelerometer data. In this study, we determined whether the intensity gradient could be reproduced using count-based accelerometer data. Twenty participants (aged 7–22 years) wore a GT1M, an ActiGraph (count-based), and a GT9X, ActiGraph (raw accelerations) accelerometer during both in-lab and at-home protocols. We found strong agreement between GT1M and GT9X counts during the combined in-lab activities (mean bias = 2 counts) and between minutes per day with different intensities of activity (e.g., sedentary, light, moderate, and vigorous) classified using cutpoints (mean bias < 5 min/d at all intensities). We generated bin sizes that could be used to generate IGs from the count data (mean bias = −0.15; 95% LOA [−0.65, 0.34]) compared with the original IG. Therefore, the intensity gradient could be used to analyze count data. The count-based intensity gradient metric will be valuable for re-analyzing historical datasets collected using older accelerometer models, such as the GT1M.

Details

Language :
English
ISSN :
14248220
Volume :
24
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.02539a577f4450b98feaea7f7ae3ad1
Document Type :
article
Full Text :
https://doi.org/10.3390/s24103019