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

Behavioral Surveillance for Population and Public Health Informatics (59) Behavior Change (887) Statistical Methods (27) Data Science (371) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (664) Innovations and Technology for Physical Activity Education (948)

Published on in Vol 17 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57977, first published .
Bayesian Network Analysis of Intervention-Induced Physical Activity Behavior Change: Comparative Modeling Study Across Age, Education, and Activity Impairment Subgroups

Bayesian Network Analysis of Intervention-Induced Physical Activity Behavior Change: Comparative Modeling Study Across Age, Education, and Activity Impairment Subgroups

Bayesian Network Analysis of Intervention-Induced Physical Activity Behavior Change: Comparative Modeling Study Across Age, Education, and Activity Impairment Subgroups

Authors of this article:

Simone Catharina Maria Wilhelmina Tummers1 Author Orcid Image ;   Arjen Hommersom2, 3 Author Orcid Image ;   Lilian Lechner1 Author Orcid Image ;   Roger Bemelmans4 Author Orcid Image ;   Catherine Adriana Wilhelmina Bolman1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Collombon E, de Bruijn G, Bolman C, Peels D, Lechner L. Differences in usage and engagement rates of an online physical activity intervention among subgroups of adults aged 50 years and older in a practical setting. BMC Public Health 2025;26(1) View