Accessibility settings

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

Use and User Demographics of mHealth (504) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3184) Usability of Apps and User Perceptions of mHealth (1788) mHealth for Wellness, Behavior Change and Prevention (4252) Usability Evaluation Case Studies (351) Behavior Change (1074) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (801)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68982, first published .
Woman using smartphone on yoga mat in gym, another woman exercising in background

User Archetypes of a Well-Being–Promoting Mobile App Among Adults: Cross-Sectional Study and Cluster Analysis of Usage Patterns

User Archetypes of a Well-Being–Promoting Mobile App Among Adults: Cross-Sectional Study and Cluster Analysis of Usage Patterns

Authors of this article:

Hanna Rekola1, 2 Author Orcid Image ;   Tommi Tolmunen3, 4 Author Orcid Image ;   Elina Mattila5 Author Orcid Image ;   Juho Strömmer6 Author Orcid Image ;   Timo A Lakka7, 8, 9 Author Orcid Image ;   Helena Länsimies10 Author Orcid Image ;   Tomi Mäki-Opas1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Wu T, Han T, Zhang X, Dai Y, Meng X. A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial. JMIR mHealth and uHealth 2026;14:e72560 View
  2. Rantala E, Valtanen M, Umer A, Parikka S, Pihlajamäki J, Ruotsalainen I, Lindström J. The Usage Effects, Effect Modifiers, and Experiences of a Web-Based App for Healthy Habit Formation in Adults: An Explorative Analysis of a Quasi-Experimental Real-World Intervention (Preprint). JMIR mHealth and uHealth 2025 View