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Can step count be used to identify older adults with high sedentary time and low moderate‐to‐vigorous physical activity

Bibliographic Data

ID19459964
AuthorsEduardo Caldas Costa (0000-0003-2807-7109, ExCE Research Group, Department of Physical Education Federal University of Rio Grande do Norte Natal Brazil), Priscilla P Nelson (The University of Texas at Austin), Yuri A Freire (ExCE Research Group, Department of Physical Education Federal University of Rio Grande do Norte Natal Brazil), Francis L C Fong, Raphael M Ritti‐Dias (Graduate Program in Rehabilitation Sciences University Nove de Julho São Paulo Brazil), Charles P de Lucena Alves (ExCE Research Group, Department of Physical Education Federal University of Rio Grande do Norte Natal Brazil), Ludmila L P Cabral (ExCE Research Group, Department of Physical Education Federal University of Rio Grande do Norte Natal Brazil), Tiago V Barreira (0000-0001-7108-3374, Exercise Science Department Syracuse University Syracuse New York USA), Debra L Waters (0000-0001-7982-2370, Department of Medicine and School of Physiotherapy University of Otago Dunedin New Zealand)
Year2024
Volume36
Issue9
Pagese24112-e24112
Publication date2024-09-01
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Human Biology (JOURNAL)
Journal identifiersISSN: 1042-0533 • E-ISSN: 1520-6300
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajhb.24112
OpenAlexW38845141
LanguageEN
References cited39

Daily step count appears to be a practical, simple metric for identifying community-dwelling older adults with concomitant high ST and low MVPA, indicative of unhealthier movement behavior, who have a poorer cardiometabolic profile

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Highly citedNo

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