Bayesian Network Analysis of Intervention-Induced Physical Activity Behavior Change: Comparative Modeling Study Across Age, Education, and Activity Impairment Subgroups
Intervention mechanisms in specific demographic groups have been rarely studied so far. Initial interpretations from the derived subpopulation models in this study unveil subpopulation-specific patterns of behavioral change, which enable better tailoring of intervention content to characteristics of the target population in order to induce or enhance effects.
Authors
- Roger Bemelmans (ORCID: https://orcid.org/0000-0002-6352-5213)
- Simone Catharina Maria Wilhelmina Tummers (ORCID: https://orcid.org/0000-0003-4835-998X)
- Lilian Lechner (ORCID: https://orcid.org/0000-0002-5160-7086)
- Catherine Bolman (ORCID: https://orcid.org/0000-0001-9209-6449)
- Arjen Hommersom (ORCID: https://orcid.org/0000-0003-0125-1680)
Institutions
- Radboud University Nijmegen (NL)
- Zuyd University of Applied Sciences (NL)
- Open University of the Netherlands (NL)
Publication Details
- Journal
- Online Journal of Public Health Informatics
- Published
- 2025-09-03
- DOI
- https://doi.org/10.2196/57977
- Primary Topic
- Physical Activity and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- ZonMw