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Learning to Like Exercising: Evaluative Conditioning Changes Automatic Evaluations of Exercising and Influences
Franziska Antoniewicz1, Ralf Brand
1Sport and Exercise Psychology, University of Potsdam, Potsdam, Germany.
Journal of Sport & Exercise Psychology
|July 8, 2016
Summary
Altering automatic evaluations of exercise (AEE) through associative learning can increase exercise behavior. This suggests AEE is a promising target for interventions aimed at promoting physical activity.
Area of Science:
- Psychology
- Behavioral Science
- Exercise Science
Background:
- Automatic evaluations of exercise (AEE) influence health behaviors.
- Understanding the malleability of AEE is crucial for designing effective interventions.
Purpose of the Study:
- To investigate the plasticity of automatic evaluations of exercise (AEE).
- To examine the link between changes in AEE and subsequent exercise behavior.
- To assess the potential of AEE as an intervention target for promoting physical activity.
Main Methods:
- Developed a computerized evaluative conditioning task to alter AEE.
- Assigned participants to experimental (positive/negative associations) or control groups.
- Measured subsequent exercise intensity on a bike ergometer.
Main Results:
- The evaluative conditioning task successfully altered participants' AEE.
- Significant differences in exercise behavior were observed between groups.
- Individuals with initially negative AEE who acquired positive associations showed increased exercise intensity.
Conclusions:
- Automatic evaluations of exercise are malleable and can be altered through associative learning.
- Changes in AEE are directly linked to subsequent exercise behavior.
- Targeting AEE holds potential for developing novel exercise interventions.
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