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

Physical Activity for Older People (239) Advanced Data Analytics in eHealth (176) Instruments and Questionnaires for Physical Activity and Lifestyle (96) Fitness Trackers and Smart Pedometers/Accelerometers (624) Wearable Devices and Sensors (1040) mHealth for Data Collection and Research (1111) mHealth for Wellness, Behavior Change and Prevention (3161)

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 (3) 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
  2. Sha T, Zhang Y, Wei J, Li C, Zeng C, Lei G, Wang Y. Sarcopenia and Risk of Cognitive Impairment: Cohort Study and Mendelian Randomization Analysis. JMIR Aging 2025;8:e66031 View
  3. Gawron N, Zębrowski A. Physical activity, home and leisure activities, and neuropsychological performance in middle-aged and older adults living in the community. Health Psychology Report 2025 View