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针对即将入学的新生的预防措施:个性化规范反馈与高风险饮酒。 (注:原文表述似乎不太准确完整,正常逻辑可能是针对新生预防高风险饮酒的个性化规范反馈措施等,但按要求逐字翻译如上)

Indicated prevention for incoming freshmen: personalized normative feedback and high-risk drinking.

作者信息

Lewis Melissa A, Neighbors Clayton, Oster-Aaland Laura, Kirkeby Benjamin S, Larimer Mary E

机构信息

Department of Psychiatry and Behavioral Sciences, Box 354694, University of Washington, Seattle, WA 98105-6099, USA.

出版信息

Addict Behav. 2007 Nov;32(11):2495-508. doi: 10.1016/j.addbeh.2007.06.019. Epub 2007 Jun 28.

DOI:10.1016/j.addbeh.2007.06.019
PMID:17658695
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2969166/
Abstract

This research evaluated the efficacy of a computerized, freshmen-specific personalized normative feedback (PNF) intervention on reducing alcohol consumption among high-risk drinking freshmen. Students (N=316; 53.8% female) completed measures of perceived drinking norms and drinking behavior. After completing the baseline assessment, students were randomly assigned to receive either freshmen-specific PNF that was gender-specific or gender-neutral, or to assessment only control. Findings demonstrated that students exhibited normative misperceptions for typical freshmen drinking behavior and that perceptions of typical same-sex freshmen drinking were positively associated with riskier drinking behavior. At follow-up, students randomly assigned to receive PNF reduced perceptions of typical freshmen drinking behavior and personal drinking behavior relative to those who did not receive PNF. Findings extend previous evaluations of computer-based PNF and suggest that computer-based PNF for incoming freshmen utilizing freshmen-specific norms that are gender-specific may constitute a promising prevention strategy.

摘要

本研究评估了一种针对大一新生的计算机化个性化规范反馈(PNF)干预措施在减少高危饮酒大一新生酒精消费方面的效果。学生(N = 316;53.8%为女性)完成了对饮酒规范的认知和饮酒行为的测量。在完成基线评估后,学生被随机分配接受针对大一新生的特定性别或无性别区分的PNF,或仅接受评估作为对照。研究结果表明,学生对典型大一新生饮酒行为存在规范认知偏差,且对典型同性大一新生饮酒的认知与更危险的饮酒行为呈正相关。在随访中,相对于未接受PNF的学生,随机分配接受PNF的学生降低了对典型大一新生饮酒行为和个人饮酒行为的认知。研究结果扩展了先前对基于计算机的PNF的评估,并表明利用特定于大一新生且区分性别的规范的基于计算机的PNF可能构成一种有前景的预防策略。

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