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基于理论的大学生困倦驾驶行为停止因素的研究:一项横断面研究。

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

机构信息

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

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

出版信息

Int J Environ Res Public Health. 2024 Aug 30;21(9):1157. doi: 10.3390/ijerph21091157.

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 ( = 0.0008) and behavioral confidence ( < 0.0001) significantly predicted the initiation of refraining from drowsy driving, with the final model explaining 36.4% of the variance. Similarly, emotional transformation ( < 0.0001) and practice for change ( = 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.

摘要

由于对道路安全有重大影响,大学生驾车时昏昏欲睡是一个严重的公共卫生问题。本横断面研究旨在使用健康行为改变的多理论模型(MTM)调查大学生停止昏昏欲睡驾驶行为的决定因素。本研究的数据于 2023 年 9 月至 10 月通过一项 42 项心理测量有效的、基于网络的调查收集,该调查通过 Qualtrics 分发给西南地区一所大型大学的 725 名学生。近一半的参与者(49.38%)报告过去一个月有昏昏欲睡的驾驶行为。分层多元回归分析显示,参与式对话( = 0.0008)和行为信心( < 0.0001)显著预测了避免昏昏欲睡驾驶的开始,最终模型解释了 36.4%的方差。同样,情感转变( < 0.0001)和改变实践( = 0.0202)显著预测了行为变化的维持,最终模型解释了 40.6%的方差。这些发现强调了基于 MTM 的有针对性的干预措施的重要性,这些干预措施侧重于增强学生管理困倦的意识和信心,以减轻昏昏欲睡的驾驶,最终提高道路安全和学生的幸福感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b68b/11431582/13533c0d0150/ijerph-21-01157-g001.jpg

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