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Application of Behavior Change Techniques in a Personalized Nutrition Electronic Health Intervention Study: Protocol
Anna L Macready1,2,3, Rosalind Fallaize1,2,4, Laurie T Butler5
1Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom.
This study standardized behavior change techniques for a large internet-based personalized nutrition intervention. It demonstrated the utility of behavior change taxonomies for web-based health programs.
Area of Science:
- Behavioral Science
- Nutritional Science
- Digital Health
Background:
- Standardizing behavior change techniques (BCTs) is crucial for evaluating intervention efficacy.
- Existing BCT frameworks often require adaptation for web-based delivery.
- The Food4Me study offered a large-scale opportunity to apply and refine BCT frameworks for online interventions.
Purpose of the Study:
- To describe the BCTs used in the Food4Me study and their selection rationale.
- To demonstrate the application of BCT taxonomies in an internet-based intervention.
- To inform future studies by identifying strengths and limitations of the developed framework.
Main Methods:
- A 6-month randomized controlled trial across seven European countries with varying personalization levels.
- A three-phase approach: a priori technique identification, standard operating procedure development, and a posteriori framework review.
- Analysis of included and excluded techniques to understand suitability for internet-based delivery.
Main Results:
- 17 out of 46 a priori identified BCTs were embedded in the intervention (11 dietary, 6 smoking cessation).
- The smoking cessation framework structure was adapted for dietary applications.
- A posteriori, 9 additional techniques were incorporated, highlighting differences between face-to-face and online delivery.
Conclusions:
- Utilizing existing taxonomies effectively facilitated the description and standardization of BCTs in the Food4Me study.
- A priori technique analysis and a posteriori review are recommended for complex, large-scale interventions.
- This study represents a novel application of BCT taxonomies in a remote, internet-based personalized nutrition intervention.
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