Bourdeau Beth, Miller Brenda A, Johnson Mark B, Voas Robert B
Prevention Research Center, Pacific Institute for Research and Evaluation, Oakland, CA, United States.
Pacific Institute for Research and Evaluation, Calverton, MD, United States.
Transp Res Part F Traffic Psychol Behav. 2015 Jul 1;32:11-22. doi: 10.1016/j.trf.2015.04.009.
The current study examines the variation in alcohol use among nightclub patrons under three transportation conditions: those who departed from a club using modes of transportation other than cars or motorcycles (e.g., pedestrians, bicyclists, subway riders); those who were passengers of drivers (auto/taxi passenger patrons); and those who drove from the club (driving patrons). We seek to determine whether patrons' choice for how to leave the club contributes to their risk, as assessed by blood alcohol concentrations (BAC), after controlling for other factors that may contribute to their BAC including demographic characteristics and social drinking group influences.
Data were collected from social drinking groups as they entered and exited clubs for 71 different evenings at ten clubs from 2010 through 2012. Using portal methodology, a research site was established proximal to club entrances. Each individual participant provided data on themselves and others in their group. The present analyses are based upon 1833 individuals who completed both entrance and exit data. Our outcome variable is blood alcohol content (BAC) based upon breath tests attained from patrons at entrance and exit from the club. Independent variables include method of transportation, social group characteristics, drug use, and personal characteristics. We use step-wise multiple regressions to predict entrance BAC, change in BAC from entrance to exit, and exit BAC: first entering individual demographic characteristics, then entering group characteristics, then drug use, and finally entering method of transportation (two dummy coded variables such that drivers are the referent category).
In sum, in all three of our analyses, only three variables are consistently predictive of BAC: presence of a group member who is frequently drunk and non-driving modes of transportation, either being the passenger or taking alternate methods of transportation. In particular, taking an alternate form of transportation was consistently and strongly predictive of higher BAC.
Additional public health messages are needed to address patrons who are no longer drinking and driving but who are nonetheless engaged in high levels of drinking that may lead to various risky outcomes, for example: being targeted for physical and/or sexual assault, pedestrian accidents, and other adverse consequences. These risks are not addressed by the focus on drinking and driving. Key messages appropriate for patrons who use alternate transportation might include devising a safety plan before entering the club and a focus on sobering up before leaving.
本研究考察了在三种交通方式下夜总会顾客的饮酒差异:那些离开夜总会时使用汽车或摩托车以外交通方式的人(如行人、骑自行车的人、地铁乘客);那些作为司机乘客的人(汽车/出租车乘客顾客);以及那些从夜总会开车离开的人(开车顾客)。我们试图确定顾客选择离开夜总会的方式是否会增加他们的风险,这一风险通过血液酒精浓度(BAC)来评估,同时控制其他可能影响其BAC的因素,包括人口统计学特征和社交饮酒群体的影响。
2010年至2012年期间,在十家夜总会的71个不同夜晚,收集社交饮酒群体进出夜总会时的数据。采用入口处方法,在夜总会入口附近设立一个研究点。每个个体参与者提供关于他们自己和其所在群体中其他人的数据。目前的分析基于1833名完成了进出数据的个体。我们的结果变量是基于对顾客进出夜总会时进行呼气测试得到的血液酒精含量(BAC)。自变量包括交通方式、社交群体特征、药物使用情况和个人特征。我们使用逐步多元回归来预测入口处BAC、从入口到出口的BAC变化以及出口处BAC:首先纳入个体人口统计学特征,然后纳入群体特征,接着纳入药物使用情况,最后纳入交通方式(两个虚拟编码变量,以开车顾客作为参照类别)。
总之,在我们所有的三项分析中,只有三个变量始终能够预测BAC:有一个经常醉酒的群体成员以及非开车的交通方式,即作为乘客或采用其他交通方式。特别是,采用其他交通方式始终且强烈地预示着更高的BAC。
需要增加公共卫生信息,以应对那些不再酒后驾车但仍大量饮酒可能导致各种风险后果的顾客,例如:成为身体和/或性侵犯的目标、行人事故以及其他不良后果。对酒后驾车的关注并未涉及这些风险。适合使用其他交通方式的顾客的关键信息可能包括在进入夜总会前制定安全计划,以及在离开前专注于清醒过来。