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You don't know why you (don't) exercise: The relationship between automatic processes and physical activity (or
Yu-Bu Wang1, Zhonghao Zhang1, Zhi-Xiong Mao1
1Beijing Sport University, School of Psychology, Beijing, China.
Scandinavian Journal of Psychology
|December 28, 2023
Summary
Automatic processes positively predict behavior, though the effect is small. Moderators like task reliability and study design influence this relationship, suggesting areas for future research.
Area of Science:
- Psychology
- Behavioral Science
Background:
- Automatic processes, often unconscious, play a role in shaping human behavior.
- Understanding the link between automaticity and observable actions is crucial for behavioral science.
Purpose of the Study:
- To systematically analyze the relationship between automatic processes and behavior.
- To identify key moderators influencing this association.
Main Methods:
- A meta-analysis of 126 effect sizes from 55 independent studies (N=10,432).
- Utilized Comprehensive Meta-Analysis software (Version 3.3).
- Employed univariate meta-regression to investigate moderators.
Main Results:
- Automatic processes significantly and positively predict behavior.
- The overall effect size was small (Fisher's Z = 0.057, p < 0.001).
Conclusions:
- Components of automatic processes, task reliability, and study design significantly moderate the automatic process-behavior link.
- Future research should consider neurophysiological measures and population-matched stimuli for enhanced validity.
- Further investigation is needed to develop strategies for reducing sedentary behavior.
