"On a night like this": A mixed-methods approach to understanding high-risk drinking events in college students.

"On a night like this": A mixed-methods approach to understanding high-risk drinking events in college students.
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DOI:
10.1111/acer.14844
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发表时间:
2022-06
期刊:
ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH
影响因子:
--
通讯作者:
Larimer, Mary E.
Larimer, Mary E.
中科院分区:
其他
文献类型:
--
作者:
Garcia, Tracey A.;Hultgren, Brittney A.;Canning, Jessica R.;Gilson, Michael S.;Larimer, Mary E.

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先前的研究表明,大学生报告在某些事件(例如,21岁生日)喝酒更多。虽然过去的研究已经确定了重度饮酒事件,但学生自己报告的与饮酒增加有关的事件仍未得到充分研究。目前的研究采用混合方法来探索大学生饮酒者潜在的高风险饮酒事件,以及这些事件与典型饮酒的区别以及彼此之间的区别。大学生饮酒者(N=204)报告了在9个预定事件(如万圣节)的饮酒量。学生们还回答了一些开放式问题,列出了他们在五种情况下饮酒过量的情况,并指出每种情况下的饮酒量。开放式回答被编码成类似的事件类别。对预定的和编码的开放式事件计算饮料消费的描述性统计。卡方分析评估了出生性别、年龄和希腊成员对开放式活动的支持差异。两个多层次计数回归评估了参与者在典型饮酒场合与1)高度认可的开放式活动和2)预定活动之间的饮酒量差异。对于所有开放式事件类别,平均饮酒量超过了重度偶发性饮酒阈值;然而,存在很大的可变性。将预定事件与参与者的典型饮酒量进行比较表明,参与者在生日、除夕、万圣节、期末和春假期间的饮酒量增加;事件之间也出现了显著差异。开放式类别与参与者典型饮酒量的比较表明,生日、庆祝活动、聚会和假期的饮酒量增加;然而,开放式事件之间没有显著差异。饮酒的学生报告说,在特定的日历活动(如春假)中饮酒较多。然而,学生们也报告说,与日历无关的活动(例如,非特定派对)是他们饮酒最多的一些活动。需要更多的研究来了解干预和预防计划如何适应已知的基于日历的高风险饮酒事件,以及未知的,特殊的高风险饮酒事件。
Previous research indicates college students report heavier drinking on certain events (e.g., 21st birthday). While past research has identified heavier drinking events, students’ own reports of what events are associated with elevated drinking remains understudied. The current study utilized mixed methods to explore potential high-risk drinking events for college student drinkers and how these events differed from typical drinking and each other. College student drinkers (N=204) reported number of drinks consumed on nine predetermined events (e.g., Halloween). Students also responded to open-ended questions listing five events during which they had elevated drinking, and indicating amount consumed on each event. Open-ended responses were coded into similar event categories. Descriptive statistics for drinks consumed were calculated for predetermined and coded open-ended events. Chi-square analyses assessed differences in endorsement of open-ended events by birth sex, age, and Greek membership. Two multilevel count regressions assessed within-person differences in number of drinks consumed between participants’ typical drinking occasions and 1) highly endorsed open-ended events and 2) predetermined events. For all open-ended event categories, average number of drinks consumed exceeded heavy episodic drinking thresholds; however, there was substantial variability. Comparing predetermined events to participants’ typical drinking indicated elevated drinking on participants’ birthdays, New Year’s Eve, Halloween, Finals, and Spring Break; significant differences between events also emerged. Comparison of open-ended categories to participants’ typical drinking indicated elevated drinking on birthdays, celebrations, parties, and holidays; however, there were no significant differences between open-ended events. Students who drink alcohol report heavier drinking on specific calendar-based events (e.g., Spring Break). However, students also report non-calendar related events (e.g., non-specific parties) as some of their highest drinking events. More research is needed to understand how intervention and prevention programs can be adapted to target both known calendar-based high-risk drinking events, and unknown, idiosyncratic high-risk drinking events.
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