Cited by 1,043Physical Activity and HealthContext-Aware Activity Recognition SystemsCardiovascular and exercise physiology

Age Group Comparability of Raw Accelerometer Output from Wrist- and Hip-Worn Monitors

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HILDEBRAND, MARIA, VAN HEES, VINCENT T., HANSEN, BJORGE HERMANN, EKELUND, ULF·2014·Medicine & Science in Sports & Exercise

Abstract

PURPOSE: The study aims were to compare raw triaxial accelerometer output from ActiGraph GT3X+ (AG) and GENEActiv (GA) placed on the hip and the wrist and to develop regression equations for estimating energy expenditure. METHODS: Thirty children (7-11 yr) and 30 adults (18-65 yr) completed eight activities (ranging from lying to running) while wearing one AG and one GA on the hip and the wrist. Oxygen consumption (V˙O2) was measured with indirect calorimetry. Analysis involved the use of ANOVA to examine the effect of activity, brand, and placement on the acceleration values, intraclass correlation coefficient to evaluate the agreement between the two brands and placements, and linear regression to establish intensity thresholds. RESULTS: A significant difference in acceleration values between the hip and the wrist placement was found (P < 0.001). The output from the wrist placement was, in general, higher compared with that from the hip. There was no main effect of monitor brand in adults (P < 0.12) and children (P < 0.73), and the intraclass correlation coefficient showed a strong agreement (0.96-0.99). However, a three-way interaction and systematic error between the brands was found in children. Acceleration from both brands and placements showed a strong correlation with V˙O2. The intensity classification accuracy of the developed thresholds for both brands and placements was, in general, higher for adults compared with that for children and was greater for sedentary/light (93%-97%), and vigorous activities (68%-92%) than that for moderate activities (33%-59%). CONCLUSIONS: Accelerometer outputs from AG and GA seem comparable when attached to the same body location in adults, whereas inconsistent differences are apparent between the two brands and placements in children, hence limiting the comparability between brands in this age group.

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Crossref · 10.1249/mss.0000000000000289

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Authors
HILDEBRAND, M., VAN HEES, V. T., HANSEN, B. H., & EKELUND, U.
Affiliations
MRC Epidemiology Unit (GB)
Venue
Medicine & Science in Sports & Exercise
Published
2014-09
Volume
46
Issue
9
Pages
1816-1824
ISSN
0195-9131 (ISSN-L)
OpenAlex
W2329483624
Cited by
1,043
References
37
Citations by year
2026: 99 · 2025: 124 · 2024: 130 · 2023: 119 · 2022: 115 · 2021: 107 · 2020: 106 · 2019: 87 · 2018: 61 · 2017: 41 · 2016: 29 · 2015: 21 · 2014: 3
FWCI
20.86
Type
journal article
Language
en
Open access
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
  • Newcastle University ePrints (Newcastle Univesity)
Funders
Medical Research Council (MC_UU_12015/3)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
Keywords
triaxial accelerometer, ActiGraph GT3X+, GENEActiv, accelerometer placement, energy expenditure estimation, regression equations, oxygen consumption, children, adults, activity intensity classification, intensity threshold, device comparability, age differences
MeSH terms
Adult, Age Factors, Aged, Analysis of Variance, Child, Energy Metabolism, Female, Hip, Humans, Male, Middle Aged, Motor Activity, Oxygen Consumption, Regression Analysis, Wrist, Young Adult, Accelerometry

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