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Published on: December 23, 2025
Motivational interviewing in a web-based physical activity intervention: questions and reflections
Stijn A H Friederichs1, Anke Oenema2, Catherine Bolman3
1Department of Psychology, Open University of the Netherlands, Heerlen, The Netherlands stijn.friederichs@ou.nl.
Web-based physical activity interventions are most effective for autonomous motivation when using open-ended questions. Combining both open-ended and multiple-choice questions enhances user appreciation for the intervention.
Area of Science:
- Health behavior change
- Digital health interventions
- Behavioral science
Background:
- Web-based computer-tailored interventions are increasingly used for physical activity promotion.
- Self-determination theory (SDT) and motivational interviewing (MI) principles are foundational for effective behavior change.
- Understanding optimal question formats is crucial for enhancing intervention effectiveness.
Purpose of the Study:
- To determine the most effective question/reflection format in web-based tailored physical activity interventions.
- To assess the impact of different question formats on autonomous motivation and intervention appreciation.
- To compare interventions based on open-ended questions, multiple-choice questions, or a combination.
Main Methods:
- A randomized trial involving 465 Dutch adults.
- Comparison of three intervention groups: open-ended questions only, multiple-choice questions only, or both.
- Measurements of motivation and process variables at baseline, post-intervention, and 1-month follow-up.
Main Results:
- Open-ended questions significantly enhanced autonomous motivation in web-based MI.
- A combination of open-ended and multiple-choice questions yielded the highest intervention appreciation.
- Both question types are valuable components for optimizing web-based tailored SDT/MI PA interventions.
Conclusions:
- Open-ended questions are key for boosting autonomous motivation in digital health interventions.
- Integrating both open-ended and multiple-choice questions optimizes user engagement and appreciation.
- Further research is needed to refine the optimal design of these novel digital interventions.
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