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

Md Sohail Akhter, Sidath Kapukotuwa (), Chia-Liang Dai, Asma Awan, Omolola A. Odejimi and Manoj Sharma
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Md Sohail Akhter: Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA
Sidath Kapukotuwa: Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA
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

IJERPH, 2024, vol. 21, issue 9, 1-17

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.

Keywords: college students; drowsy driving; fatigue-related accidents; multi-theory model; road safety (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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