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

Formative Evaluation of Digital Health Interventions (3229) Wearable Devices and Sensors (1133) Fitness Trackers and Smart Pedometers/Accelerometers (665) Physical Activity for Older People (281) mHealth for Wellness, Behavior Change and Prevention (3315) Innovations and Technology for Physical Activity Education (926) mHealth for Data Collection and Research (1196)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41685, first published .
Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study

Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study

Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study

Authors of this article:

Kyle S Weber1 Author Orcid Image ;   F Elizabeth Godkin1 Author Orcid Image ;   Benjamin F Cornish1 Author Orcid Image ;   William E McIlroy1 Author Orcid Image ;   Karen Van Ooteghem1 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

Journals

  1. Van Ooteghem K, Godkin F, Thai V, Beyer K, Cornish B, Weber K, Bernstein H, Kheiri S, Swartz R, Tan B, McIlroy W, Roberts A. User-centered design of feedback regarding health-related behaviors derived from wearables: An approach targeting older adults and persons living with neurodegenerative disease. DIGITAL HEALTH 2023;9 View
  2. Beyer K, Weber K, Cornish B, Vert A, Thai V, Godkin F, McIlroy W, Van Ooteghem K. NiMBaLWear analytics pipeline for wearable sensors: a modular, open-source platform for evaluating multiple domains of health and behaviour. BMC Digital Health 2024;2(1) View
  3. Cornish B, Van Ooteghem K, Wong M, Weber K, Pieruccini-Faria F, Montero-Odasso M, McIlroy W. Evaluation of a finite state machine algorithm to measure stepping with ankle accelerometry: Performance across a range of gait speeds, tasks, and individual walking ability. Medical Engineering & Physics 2024;133:104251 View
  4. Gába A, Hartwig T, Jašková P, Sanders T, Dygrýn J, Vencálek O, Antczak D, Conigrave J, Parker P, del Pozo Cruz B, Fairclough S, Halson S, Hron K, Noetel M, Ávila-García M, Cabanas-Sánchez V, Cavero-Redondo I, Curtis R, da Costa B, del Pozo-Cruz J, García-Hermoso A, Leahy A, Lubans D, Maher C, Martínez-Gómez D, Meredith-Jones K, Redondo-Tébar A, Sabia S, Silva K, Skidmore P, Villa-González E, Yerramalla M, Lonsdale C. Reallocating Time Between 24-h Movement Behaviors for Obesity Management Across the Lifespan: A Pooled Data Meta-Analysis of More Than 9800 Participants from Seven Countries. Sports Medicine 2025;55(3):641 View
  5. Godkin F, Van Ooteghem K, Beyer K, Weber K, Cornish B, Tang A, Ehgoetz Martens K, McIlroy W. Measuring resting heart rate during daily life using wearable technology: Examining the impact of behavioral context and methodological criteria. DIGITAL HEALTH 2025;11 View
  6. Fan L, Zhao J, Wang J, Zhou X, Wang X, Liu S, Wang F, Wei Q, Lin T, Lipsitz L. Accelerometer-measured multidimensional physical activity patterns and physical functional decline: a prospective national cohort study of aging. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences 2025;80(8) View
  7. Beauchamp M, Kirkwood R, Cooper C, McIlroy W, Van Ooteghem K, Beyer K, Richardson J, Kuspinar A, McNicholas P, Newbold B, Scott D, Raina P, Fang Q, Gardner P, Zargoush M, Ma J, O’Hoski S, Rafiq T. Cohort profile: baseline characteristics and design of the McMaster Monitoring My Mobility (MacM3) study – a prospective digital mobility cohort of community-dwelling older Canadians from Southern Ontario. BMJ Open 2025;15(10):e105223 View