Evaluation of a resilience training program for college student-athletes: A pilot study
Lindsay Sullivan1,2, Jennifer E Carter3,4, James Houle3,4
1Center for Injury Research and Policy, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.
Journal of American College Health : J of ACH
|March 24, 2021
Summary
A resilience training program enhanced college student-athletes' intention to use adaptive coping strategies for managing stress. The program did not significantly improve knowledge of these strategies.
Area of Science:
- Sports Psychology
- Mental Health Interventions
- Higher Education
Background:
- College student-athletes face unique academic and sport-related stressors.
- Developing adaptive coping strategies is crucial for student-athlete well-being and performance.
- Resilience training is a potential intervention to support mental health in this population.
Purpose of the Study:
- To evaluate the impact of a resilience training program on college student-athletes' knowledge and intention to use adaptive coping strategies.
- To explore student-athletes' experiences and satisfaction with the resilience training program.
Main Methods:
- A pretest-posttest design was employed.
- Surveys were administered at baseline and immediately after the program.
- Participants included NCAA Division I college student-athletes.
Main Results:
- Overall intention to use adaptive coping strategies significantly increased post-program (p=0.0004).
- Intentions to use specific strategies like seeking social support (p=0.0037) and self-controlling (p=0.0007) also significantly increased.
- No significant changes were observed in knowledge scores regarding adaptive coping strategies.
Conclusions:
- Resilience training shows promise in increasing the likelihood of college student-athletes employing adaptive coping mechanisms.
- The findings suggest that resilience interventions can positively influence behavioral intentions related to stress management in student-athletes.
- Further research could explore long-term effects and optimal program components.
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