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Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
Impact evaluation of a pilot web-based intervention to increase physical activity.
Melissa Grim1, Brian Hortz, Rick Petosa
1Department of Exercise, Sport, and Health Education, Radford University, Virginia 24142, USA. mlgrim@radford.edu
American Journal of Health Promotion : AJHP
|March 3, 2011
Summary
A 10-week web-based physical activity intervention significantly improved vigorous physical activity and self-regulation. This online approach proved more effective than traditional health courses for college students.
Area of Science:
- Health and Physical Education
- Behavioral Science
- Online Learning
Background:
- Physical activity interventions are crucial for college student health.
- Web-based interventions offer scalable solutions for health promotion.
- Evaluating the efficacy of online versus traditional physical activity programs is essential.
Purpose of the Study:
- To evaluate the impact of a 10-week web-based physical activity intervention.
- To compare the effectiveness of web-based, traditional physical activity, and health instruction on student outcomes.
Main Methods:
- A quasi-experimental, three-group pretest-posttest design was employed.
- 233 college students were divided into web-based, physical activity, and general health groups.
- Outcome variables included physical activity levels, self-regulation, self-efficacy, and social support.
Main Results:
- The web-based and physical activity groups showed significant improvements in vigorous physical activity (p < .01).
- Self-regulation and outcome expectancy also significantly improved in both intervention groups (p < .01).
Conclusions:
- Web-based and traditional physical activity interventions are superior to health courses for improving vigorous physical activity and self-regulation.
- Online interventions show promise for promoting physical activity and behavioral change in college students.
- Further research with larger, randomized samples is warranted to confirm these findings.
