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Using the behavior change wheel to develop text messages to promote diet and physical activity adherence following a diabetes prevention program
Author(s) -
Megan MacPherson,
Kaela Cranston,
Sean Locke,
Jessica E. Bourne,
Mary E. Jung
Publication year - 2021
Publication title -
translational behavioral medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 39
eISSN - 1869-6716
pISSN - 1613-9860
DOI - 10.1093/tbm/ibab058
Subject(s) - health psychology , diabetes mellitus , behavior change , physical activity , behavioral medicine , psychology , wheel running , health behavior , medicine , gerontology , clinical psychology , public health , applied psychology , physical therapy , social psychology , environmental health , nursing , endocrinology
Improving diet and physical activity (PA) can reduce the risk of developing type 2 diabetes (T2D); however, long-term diet and PA adherence is poor. To impact population-level T2D risk, scalable interventions facilitating behavior change adherence are needed. Text messaging interventions supplementing behavior change interventions can positively influence health behaviors including diet and PA. The Behavior Change Wheel (BCW) provides structure to intervention design and has been used extensively in health behavior change interventions. Describe the development process of a bank of text messages targeting dietary and PA adherence following a diabetes prevention program using the BCW. The BCW was used to select the target behavior, barriers and facilitators to engaging in the behavior, and associated behavior change techniques (BCTs). Messages were written to map onto BCTs and were subsequently coded for BCT fidelity. The target behaviors were adherence to diet and PA recommendations. A total of 16 barriers/facilitators and 28 BCTs were selected for inclusion in the messages. One hundred and twenty-four messages were written based on selected BCTs. Following the fidelity check a total of 43 unique BCTs were present in the final bank of messages. This study demonstrates the application of the BCW to guide the development of a bank of text messages for individuals with prediabetes. Results underscore the potential utility of having independent coders for an unbiased expert evaluation of what active components are in use. Future research is needed to demonstrate the feasibility and effectiveness of resulting bank of messages.

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