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Examining implicit cognitions in the evaluation of a community-wide physical activity program
1University of Alberta, Faculty of Kinesiology, Sport, and Recreation, W1-16A, Van Vliet Centre, Edmonton, Alberta, T6G 2H9, Canada.
Evaluation and Program Planning
|April 15, 2018
Summary
Community physical activity programs benefit from measuring automatic thinking, like attentional bias and implicit attitudes. Awareness and these cognitive factors significantly predict physical activity behavior.
Area of Science:
- Public Health
- Behavioral Science
- Health Communication
Background:
- Community-wide physical activity programs utilize diverse communication strategies.
- Evaluating program effectiveness traditionally focuses on explicit measures, potentially overlooking automatic cognitive processes.
- The hierarchy of effects model provides a framework for understanding program outcomes from awareness to behavior.
Purpose of the Study:
- To integrate attentional bias and implicit attitude measures into the evaluation of the UWALK physical activity program.
- To examine the relationships between program awareness, automatic cognitions, and physical activity outcomes.
- To assess the predictive power of attentional bias and implicit attitudes on program-related behavior.
Main Methods:
- A community-wide physical activity program (UWALK) employed mass media and digital communication.
- Participants (N=127) completed measures of awareness, attentional bias, implicit attitudes, and physical activity.
- A mixed-methods approach included questionnaires, a video stimulus, and a thought-listing task.
Main Results:
- Unprompted awareness of UWALK correlated with attentional bias toward program imagery and positive implicit attitudes.
- Participants with awareness and positive implicit attitudes reported higher physical activity levels.
- Attentional bias, awareness, and implicit attitudes collectively explained 15.2% of the variance in physical activity behavior.
Conclusions:
- Incorporating automatic cognition measures enhances program evaluation, providing deeper insights into behavioral impact.
- Program awareness alone is insufficient; automatic cognitive responses are crucial predictors of engagement and behavior.
- Website visits do not guarantee program recall or cognitive impact, highlighting the need for comprehensive evaluation metrics.
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