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Assessing physical behavior through accelerometry – State of the science, best practices and future directions

Burchartz, A.; Anedda, B.; Auerswald, T.; Giurgiu, M.; Hill, H.; Ketelhut, S.; Kolb, S.; Mall, C.; Manz, K.; Nigg, C. R.; Reichert, M.; Sprengeler, O.; Wunsch, K.; Matthews, C. E.

Abstract (englisch):
Multidimensional data, a great number of metrics can be derived to capture and describe the unique aspects of PB. The goal of this paper is to help the end-user of PB monitoring devices (novice to intermediate experience) wade through sometimes excessive technical details of accelerometry to outline best practices in selecting and applying devices to quantify three major behavioral categories of common interest to the research community: physical activity (PA), sedentary behavior (SB) and sleep. The effects of these decisions on the metrics (energy expenditure, activity intensity, body position, activity patterns) can occur in a variety of ways. The device, carrying position (hip, wrist, thigh) and recording parameters (epoch length (EL), frequency, memory capacity, recording frequency and filters) have a large influence on the measured activity. The different backgrounds such as study design (purpose, repeated measurements) and duration (time frame, wear time) as well as data storage and evaluation must be taken into account when determining the parameters. Finally, the evaluation must adjust several levers (raw data, context information, non-wear time, intensity classification, compliance) depending on the target variables. ... mehr

DOI: 10.1016/j.psychsport.2020.101703
Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 07.2020
Sprache Englisch
Identifikator ISSN: 1469-0292, 1878-5476
KITopen-ID: 1000119876
Erschienen in Psychology of sport and exercise
Band 49
Seiten Art. Nr.: 101703
Nachgewiesen in Scopus
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