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个体因素和情境因素在大学生酒后驾车升级过程中的作用。

Personal and contextual factors in the escalation of driving after drinking across the college years.

机构信息

Department of Psychology, The University of Texas at Austin, 1 University Station A8000, Austin, TX 78712, USA.

出版信息

Psychol Addict Behav. 2012 Dec;26(4):714-23. doi: 10.1037/a0026819. Epub 2012 Jan 9.

Abstract

College students continue to drive after drinking at alarmingly high rates. Age trends suggest that driving after drinking increases from late adolescence across the college years, largely mirroring trends in binge drinking. Relatively little research, however, has examined change over time in driving after drinking among college students or tested whether some students might be at greater risk of escalations in driving after drinking. Using a sample of 1,833 nonabstaining students who completed surveys for seven semesters across the college years, we tested whether personal (i.e., age of drinking onset, gender, risk perceptions, and sensation seeking) and contextual (i.e., college residence) factors were associated with changes in driving after drinking. Using latent growth curve modeling, we found significant individual differences in rates of change in driving after drinking. Male students and students who began drinking earlier in life increased in driving after drinking more rapidly, whereas living in on-campus housing was associated with time-specific decreases in driving after drinking. These results demonstrate the value of considering driving after drinking from a longitudinal perspective and suggest possible avenues toward preventing the public health consequences of intoxicated driving.

摘要

大学生酒后驾车的比例高得惊人。年龄趋势表明,大学生在整个大学期间酒后驾车的比例从青春期后期开始上升,这在很大程度上反映了狂饮的趋势。然而,相对较少的研究调查了大学生酒后驾车行为随时间的变化,也没有检验是否有些学生酒后驾车行为升级的风险更大。本研究使用了一个在大学期间完成了七个学期调查的 1833 名非戒酒学生的样本,检验了个人(即饮酒起始年龄、性别、风险认知和感觉寻求)和环境(即大学住宿)因素是否与酒后驾车行为的变化有关。使用潜在增长曲线模型,我们发现酒后驾车行为变化的个体差异显著。男性学生和更早开始饮酒的学生酒后驾车的速度更快,而住在校内宿舍与酒后驾车的特定时间减少有关。这些结果表明,从纵向角度考虑酒后驾车行为具有重要价值,并为预防醉酒驾驶造成的公共卫生后果提供了可能的途径。

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本文引用的文献

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