Accepted for/Published in: JMIR Formative Research
Date Submitted: Jul 5, 2023
Date Accepted: Oct 31, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Problem solutions for physical activity plans: building on classifications of behaviour change techniques
ABSTRACT
Background:
When trying to be more physically active, preparing for possible barriers by considering potential solutions increases likelihood of plan enactment. Digital interventions can support this process by providing personalized recommendations for solutions, but this requires that possible solutions are identified and classified.
Objective:
The present study investigated which kinds of solutions are not or insufficiently covered by existing classification systems and which adaptations or additions to the frameworks are needed.
Methods:
360 Flemish university students created action and coping plans for physical activity for eight consecutive days in 2020, resulting in 5251 coping plans. The compendium of self-enactable techniques was used to code the coping plan solutions, and additional codes were added to the codebook iteratively.
Results:
Interrater reliability was moderate (Cohen’s kappa = .71) for the coded solutions. More than a quarter of the solutions could not be coded within the compendium of self-enactable techniques, and most of the eight added classes aimed to solve barriers related to the environment of the individual.
Conclusions:
This study is a first step in classifying the content of problem-solving solutions for physical activity. Future work should link the solutions to specific barriers and define characteristics for the solutions.
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