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

Use and User Demographics of mHealth (344) mHealth for Wellness, Behavior Change and Prevention (2922) Fitness Trackers and Smart Pedometers/Accelerometers (571) Innovations and Technology for Physical Activity Education (756) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (505)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13391, first published .
Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study

Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study

Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study

Authors of this article:

Gert-Jan De Bruijn1 Author Orcid Image ;   Joan Martine Dallinga2 Author Orcid Image ;   Marije Deutekom2 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Tariq K, Thorne L, Toma A, Watkins L. ‘Watkins’ & ‘Watkins2.0’: Smart phone applications (Apps) for gait-assessment in normal pressure hydrocephalus and decompensated long-standing overt ventriculomegaly. Acta Neurochirurgica 2024;166(1) View
  2. Sulwarajan K, Jaafar Z, Md Sari N, Hamzah S, Yusop F, Hamid S, Ghani N. A scoping review of the types and features of technology used to deliver exercise prescription and improve exercise adherence. Patient Education and Counseling 2025;131:108580 View

Books/Policy Documents

  1. de Bruijn G, Liu S, Rhodes R. The International Encyclopedia of Health Communication. View