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Updated: May 6, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
Published on: September 18, 2018
Systematic development of a text-driven and a video-driven web-based computer-tailored obesity prevention
Michel Jean Louis Walthouwer1, Anke Oenema, Katja Soetens
1School for Public Health and Primary Care (CAPHRI), Maastricht University, Maastricht, The Netherlands. michel.walthouwer@maastrichtuniversity.nl.
This study developed text- and video-based web interventions for obesity prevention. The video intervention is hypothesized to be more effective for individuals with lower education levels.
Area of Science:
- Health behavior change
- Digital health interventions
- Obesity prevention
Background:
- Systematic development of web-based computer-tailored interventions for obesity prevention.
- Two formats: text-driven and video-driven, with identical educational content.
- Hypothesis: video-driven intervention is more effective for individuals with lower education levels.
Purpose of the Study:
- To systematically develop and evaluate text- and video-driven web-based computer-tailored interventions for obesity prevention.
- To compare the efficacy and appeal of text- versus video-based delivery formats.
- To provide recommendations for future digital health interventions in obesity prevention.
Main Methods:
- Intervention Mapping protocol used for systematic development.
- Interventions based on the I-Change Model and self-regulation theories.
- Six-session program with goal setting, action planning, and progress evaluation.
- Three-group randomized controlled trial with measurements at baseline, 6, and 12 months.
- Primary outcomes: body mass index, physical activity, and dietary intake.
Main Results:
- (Study results not yet available in the abstract)
Conclusions:
- Systematic development of text- and video-driven obesity prevention interventions using self-regulation concepts.
- Evaluation will provide insights into efficacy and the added value of video tailoring.
- Recommendations for future web-based computer-tailored interventions will be generated.
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