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

Portable and Mobile Technologies for Rehabilitation (151) Mobile Health (mhealth) (2941) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400)

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 (3) 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 2024 View