Cited by 87Physical Activity and HealthContext-Aware Activity Recognition SystemsObesity, Physical Activity, Diet

Moving forward with accelerometer-assessed physical activity: two strategies to ensure meaningful, interpretable, and comparable measures

Open access
Rowlands, Alex V.·2018·Pediatric Exercise Science

Abstract

Significant advances have been made in the measurement of physical activity in youth over the past decade. Monitors and protocols promote very high compliance, both night and day, and raw measures are available rather than "black box" counts. Consequently, many surveys and studies worldwide now assess children's physical behaviors (physical activity, sedentary behavior, and sleep) objectively 24 hours a day, 7 days a week using accelerometers. The availability of raw acceleration data in many of these studies is both an opportunity and a challenge. The richness of the data lends itself to the continued development of innovative metrics, whereas the removal of proprietary outcomes offers considerable potential for comparability between data sets and harmonizing data. Using comparable physical activity outcomes could lead to improved precision and generalizability of recommendations for children's present and future health. The author will discuss 2 strategies that he believes may help ensure comparability between studies and maximize the potential for data harmonization, thereby helping to capitalize on the growing body of accelerometer data describing children's physical behaviors.

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Registry

Crossref · 10.1123/pes.2018-0201

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Authors
Rowlands, A. V.
Affiliations
University of Leicester (GB)
Corresponding author
Rowlands, Alex V.
Venue
Pediatric Exercise Science
Published
2018-11-01
Volume
30
Issue
4
Pages
450-456
ISSN
  • 0899-8493 (ISSN-L)
  • 1543-2920
OpenAlex
W2896546521
Cited by
87
References
46
Citations by year
2026: 3 · 2025: 18 · 2024: 11 · 2023: 7 · 2022: 12 · 2021: 15 · 2020: 10 · 2019: 11
FWCI
6.18
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Pediatric Exercise Science (publishedVersion)
  • PubMed (publishedVersion)
  • UniSA Research Outputs Repository (University of South Australia) (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • Leicester Research Archive (University of Leicester) (submittedVersion, other-oa)
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 › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
accelerometer-measured activity, children's physical activity, data harmonization, sedentary behavior, sleep
MeSH terms
Child, Humans, Sleep, Exercise, Sedentary Behavior, Accelerometry

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