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

Digital Health Reviews (3660) Mobile Health (mhealth) (5168) Fitness Trackers and Smart Pedometers/Accelerometers (794) Physical Activity for Older People (481) Aging in Place (517) Innovations and Technology for Physical Activity Education (1065)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75667, first published .
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How Well Do Older Adult Fitness Technologies Match User Needs and Preferences? Scoping Review of 2014-2024 Literature

How Well Do Older Adult Fitness Technologies Match User Needs and Preferences? Scoping Review of 2014-2024 Literature

Authors of this article:

Christopher Tacca1 Author Orcid Image ;   Arturo Vazquez Galvez1 Author Orcid Image ;   Isobel Margaret Thompson2 Author Orcid Image ;   Alexander Dawid Bincalar1 Author Orcid Image ;   Christoph Tremmel1 Author Orcid Image ;   Richard Gomer1 Author Orcid Image ;   Martin Warner2 Author Orcid Image ;   Chris Freeman1 Author Orcid Image ;   m.c schraefel1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Om Sudhakar Powar , Harsh Bharat Pol , Suyash Dinesh Dabholkar , Purva Anant Manglekar , Siddharth Amol Gurav , Nurain Anis Sayyad . Nutrifit-The Fitness App. Vidhyayana 2026;11(6) View
  2. Choudhry A, Mshvelidze J, Mullen S, Kletenik D, Adler R. Motivations, Barriers, and the Potential of AI in Physical Activity Applications for U.S. Older Adults: Interview Study (Preprint). JMIR Aging 2026 View