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

Wearables and MHealth Reviews (257) mHealth for Wellness, Behavior Change and Prevention (2728) Wearable Devices and Sensors (811) Evaluation and Research Methodology for mHealth (193) Fitness Trackers and Smart Pedometers/Accelerometers (539) mHealth for Data Collection and Research (907)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31327, first published .
Personalization of Intervention Timing for Physical Activity: Scoping Review

Personalization of Intervention Timing for Physical Activity: Scoping Review

Personalization of Intervention Timing for Physical Activity: Scoping Review

Authors of this article:

Saurabh Chaudhari1 Author Orcid Image ;   Suparna Ghanvatkar1 Author Orcid Image ;   Atreyi Kankanhalli1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Hahm J, Choi H, Matsuoka H, Kim J, Byon K. Understanding the relationship between acceptance of multifunctional health and fitness features of wrist-worn wearables and actual usage. International Journal of Sports Marketing and Sponsorship 2023;24(2):333 View
  2. Trumpf R, Schulte L, Schroeder H, Larsen R, Haussermann P, Zijlstra W, Fleiner T. Physical activity monitoring-based interventions in geriatric patients: a scoping review on intervention components and clinical applicability. European Review of Aging and Physical Activity 2023;20(1) View
  3. Vandelanotte C, Trost S, Hodgetts D, Imam T, Rashid M, To Q, Maher C. Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions. Journal of Biomedical Informatics 2023;144:104435 View