This paper is in the following e-collection/theme issue:

Physical Activity for Older People (214) Advanced Data Analytics in eHealth (162) Instruments and Questionnaires for Physical Activity and Lifestyle (90) Fitness Trackers and Smart Pedometers/Accelerometers (604) Wearable Devices and Sensors (976) mHealth for Data Collection and Research (1062) mHealth for Wellness, Behavior Change and Prevention (3067)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53020, first published .
Characterizing Walking Behaviors in Aged Residential Care Using Accelerometry, With Comparison Across Care Levels, Cognitive Status, and Physical Function: Cross-Sectional Study

Characterizing Walking Behaviors in Aged Residential Care Using Accelerometry, With Comparison Across Care Levels, Cognitive Status, and Physical Function: Cross-Sectional Study

Characterizing Walking Behaviors in Aged Residential Care Using Accelerometry, With Comparison Across Care Levels, Cognitive Status, and Physical Function: Cross-Sectional Study

Authors of this article:

Ríona Mc Ardle1, 2 Author Orcid Image ;   Lynne Taylor3 Author Orcid Image ;   Alana Cavadino3 Author Orcid Image ;   Lynn Rochester1, 2, 4 Author Orcid Image ;   Silvia Del Din1, 2 Author Orcid Image ;   Ngaire Kerse3 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Pogrzeba L, Muschter E, Hanisch S, Wardhani V, Strufe T, Fitzek F, Li S. A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults. Scientific Data 2025;12(1) View