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Updated: Aug 16, 2025
05:59
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
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Determinants of physical activity behaviour change in (online) interventions, and gender-specific differences: a
Simone Catharina Maria Wilhelmina Tummers1, Arjen Hommersom2,3, Lilian Lechner2
1Open University of the Netherlands, Heerlen, The Netherlands. simone.tummers@ou.nl.
The International Journal of Behavioral Nutrition and Physical Activity
|December 19, 2022
Summary
This study reveals how health interventions influence physical activity (PA) through psychological factors. It highlights gender-specific pathways, offering insights to improve PA promotion strategies.
Area of Science:
- Behavioral Science
- Health Psychology
- Data Science
Background:
- Adherence to physical activity (PA) guidelines is low across populations.
- Interventions aim to boost PA by targeting psycho-social determinants.
- Theoretical frameworks like the Theory of Planned Behaviour guide intervention design.
Purpose of the Study:
- To investigate the pathways through which interventions influence physical activity (PA).
- To examine gender differences in these pathways of change.
- To enhance the effectiveness of PA interventions.
Main Methods:
- Analysis of an integrated dataset from five randomized controlled trials.
- Estimation of a Bayesian network to model relationships between intervention, determinants, and PA outcomes.
- Comparison of general and gender-specific models to identify differences in pathways.
Main Results:
- Interventions impact short-term PA via intention and habit; other determinants have indirect effects.
- Long-term PA is maintained by previous behavior, intention, and attitude.
- Gender-specific models reveal differences in the roles of self-efficacy, attitude, and planning.
Conclusions:
- Bayesian network analysis clarifies the complex mechanisms of PA interventions.
- Identified determinants and their interactions provide new insights for intervention improvement.
- Subpopulation-specific models highlight gender differences, enabling tailored PA promotion.
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