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Baseline self-efficacy predicts subsequent engagement behavior in an online physical activity intervention
Seungmin Lee1, Nicholas D Myers2, André G Bateman3
1Division of Health and Wellness Studies, Binghamton University, Binghamton, NY, United States.
Participant self-efficacy to engage in online physical activity interventions positively predicts engagement. Enhancing self-efficacy may improve adherence to digital health programs.
Area of Science:
- Digital Health
- Behavioral Science
- Public Health
Background:
- Online physical activity interventions offer potential benefits like cost-effectiveness and accessibility.
- Participant engagement is crucial for realizing the benefits of these digital health programs.
- Limited research exists on modifiable predictors, such as beliefs, influencing engagement in online interventions.
Purpose of the Study:
- To investigate if self-efficacy to engage at baseline predicts subsequent engagement behavior.
- To examine the role of self-efficacy in online physical activity intervention adherence.
Main Methods:
- Analysis of data from 331 participants in the 2018 Fun For Wellness trial.
- Utilized multiple logistic regression analysis in Mplus 8 with maximum-likelihood estimation.
Main Results:
- Baseline self-efficacy to engage beliefs were found to be a positive predictor of subsequent engagement.
- A significant association was observed between self-efficacy and engagement behavior at 30 days post-baseline.
Conclusions:
- Self-efficacy to engage is a key modifiable factor for online physical activity intervention success.
- Recommendations are provided to enhance self-efficacy in future digital health studies.
- Findings align with self-efficacy theory, emphasizing the importance of belief systems in behavior change.
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