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

Portable and Mobile Technologies for Rehabilitation (198) Mobile Health (mhealth) (3479) Fitness Trackers and Smart Pedometers/Accelerometers (672) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1738)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52733, first published .
Exploring the Major Barriers to Physical Activity in Persons With Multiple Sclerosis: Observational Longitudinal Study

Exploring the Major Barriers to Physical Activity in Persons With Multiple Sclerosis: Observational Longitudinal Study

Exploring the Major Barriers to Physical Activity in Persons With Multiple Sclerosis: Observational Longitudinal Study

Authors of this article:

Chloé Sieber1, 2 Author Orcid Image ;   Christina Haag1, 2 Author Orcid Image ;   Ashley Polhemus2 Author Orcid Image ;   Sarah R Haile2 Author Orcid Image ;   Ramona Sylvester3 Author Orcid Image ;   Jan Kool3 Author Orcid Image ;   Roman Gonzenbach3 Author Orcid Image ;   Viktor von Wyl1, 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Daniore P, Nittas V, Haag C, Bernard J, Gonzenbach R, von Wyl V. From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal. npj Digital Medicine 2024;7(1) View
  2. Morgenshtern G, Rutishauser Y, Haag C, von Wyl V, Bernard J. MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis. Journal of the American Medical Informatics Association 2024;31(11):2496 View
  3. Bozkurt T, Unal M, Salci Y. Factors influencing adherence to Physical Exercise in patients with multiple sclerosis: a systematic review focusing on Exercise over General Physical Activity. Acta Neurologica Belgica 2025;125(2):335 View
  4. Monaghan P, VanNostrand M, Takla T, Fritz N. Predicting Real-World Physical Activity in Multiple Sclerosis: An Integrated Approach Using Clinical, Sensor-Based, and Self-Reported Measures. Sensors 2025;25(6):1780 View
  5. Ibáñez-Carrasco F, McDuff K, Da Silva G, Bayoumi A, Chan Carusone S, Loutfy M, Tang A, Ahluwalia P, Avery L, O’Brien K. Qualitative insights from an online community-based exercise intervention for persons living with HIV. Frontiers in Rehabilitation Sciences 2025;6 View
  6. Kiloatar H, Olcay Demir C, Turutgen N, Aydogdu Delibay A, Donmez S. Content quality and reliability of YouTube exercise videos for multiple sclerosis. Multiple Sclerosis and Related Disorders 2025;104:106765 View
  7. Useinova A, Kaliberdenko V, Maryanenko S, Uzunov S, Sapronova E. Modern methods of rehabilitation of patients with different degrees of multiple sclerosis. (Literature review). Problems of Balneology, Physiotherapy and Exercise Therapy 2025;102(5):48 View