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Theory-Based Determinants of Stopping Drowsy Driving Behavior in College Students: A Cross-Sectional Study

Author

Listed:
  • Md Sohail Akhter

    (Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA
    These authors contributed equally to this work.)

  • Sidath Kapukotuwa

    (Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA
    These authors contributed equally to this work.)

  • Chia-Liang Dai

    (Department of Teaching and Learning, College of Education, University of Nevada, Las Vegas, NV 89154, USA)

  • Asma Awan

    (Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA)

  • Omolola A. Odejimi

    (Department of Educational Psychology, Leadership, and Higher Education, College of Education, University of Nevada, Las Vegas, NV 89154, USA)

  • Manoj Sharma

    (Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA
    Department of Internal Medicine, Kirk Kerkorian School of Medicine at UNLV, University of Nevada, Las Vegas, NV 89102, USA)

Abstract

Drowsy driving among college students is a critical public health issue due to its significant impact on road safety. This cross-sectional study aimed to investigate the determinants of stopping drowsy driving behavior among college students using the multi-theory model (MTM) of health behavior change. Data for this study were collected from September to October 2023 via a 42-item psychometric valid, web-based survey disseminated via Qualtrics, involving 725 students from a large southwestern university. Nearly half of the participants (49.38%) reported drowsy driving in the past month. Hierarchical multiple regression analysis revealed that participatory dialogue ( p = 0.0008) and behavioral confidence ( p < 0.0001) significantly predicted the initiation of refraining from drowsy driving, with the final model explaining 36.4% of the variance. Similarly, emotional transformation ( p < 0.0001) and practice for change ( p = 0.0202) significantly predicted the sustenance of behavior change, with the final model accounting for 40.6% of the variance. These findings underscore the importance of targeted MTM-based interventions focusing on enhancing students’ awareness and confidence in managing drowsiness to mitigate drowsy driving, ultimately improving road safety and student well-being.

Suggested Citation

  • Md Sohail Akhter & Sidath Kapukotuwa & Chia-Liang Dai & Asma Awan & Omolola A. Odejimi & Manoj Sharma, 2024. "Theory-Based Determinants of Stopping Drowsy Driving Behavior in College Students: A Cross-Sectional Study," IJERPH, MDPI, vol. 21(9), pages 1-17, August.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:9:p:1157-:d:1467978
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