Clapp John D, Shillington Audrey M, Lange James E, Voas Robert B
San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-4119, USA.
Accid Anal Prev. 2003 Mar;35(2):161-6. doi: 10.1016/s0001-4575(01)00099-9.
This paper examines the correlates and predictors of driving under the influence behaviors (DUIBs) during the past month by college students. Measures of heavy episodic drinking, monthly drinking frequency, monthly drinking variance, monthly drinks per occasion and reported marijuana use are compared as predictors net of other predictive factors. A cross-sectional telephone survey was conducted with college students by a university social science research laboratory. Respondents attended two large public universities located in the southwestern part of the US. Participants included 803 randomly selected college students. The interview schedule included items from the Core Alcohol and Drug Survey and the College Alcohol Risk Assessment Guide. Several additional last-drinking-event items were also developed for the interview. Bivariate analyses indicate that marijuana use (past year), heavy episodic drinking, reports of DUIBs (driving under the influence or riding with a driver who is under the influence) in the past year, monthly frequency of drinking, the average number of drinks consumed when drinking and age are correlates of DUIBs during the past month. Multivariate analyses indicate past year DUIBs, monthly frequency of drinking and monthly marijuana use predicted recent DUIB.
本文研究了大学生在过去一个月内受影响驾驶行为(DUIBs)的相关因素和预测指标。将重度偶发性饮酒、每月饮酒频率、每月饮酒差异、每次饮酒量以及报告的大麻使用情况作为预测指标,并在控制其他预测因素的情况下进行比较。一所大学的社会科学研究实验室对大学生进行了一项横断面电话调查。受访者来自美国西南部的两所大型公立大学。参与者包括803名随机抽取的大学生。访谈问卷包括核心酒精与药物调查问卷以及大学酒精风险评估指南中的项目。访谈中还设计了几个关于最近一次饮酒事件的额外项目。双变量分析表明,过去一年使用大麻、重度偶发性饮酒、过去一年报告的DUIBs(受影响驾驶或乘坐受影响驾驶者驾驶的车辆)、每月饮酒频率、饮酒时的平均饮酒量以及年龄与过去一个月的DUIBs相关。多变量分析表明,过去一年的DUIBs、每月饮酒频率和每月大麻使用情况可预测近期的DUIBs。