Variability in Pregaming Typologies Across the Freshman Year: A Multi-wave Latent Transition Analysis

• Published in: Substance use & misuse Vol. 51; no. 8; pp. 961 - 971
• Main Authors: Haas, Amie L., Wickham, Robert E., Gibbs, Elise
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 02.07.2016; Taylor & Francis Ltd
• Subjects: Alcohol abuse; Alcohol Drinking; Alcohol related; Alcohol related problems; Alcohol use; College students; Data collection; Drinking behavior; Drinks; Female; Humans; Intervention; Medical screening; Membership; Pregaming; latent transition analysis; college student; alcohol use; Risk; Risk factors; Student behavior; Students; Subtypes; Surveys and Questionnaires; Tests; Transitions; Underage drinking; Undergraduate students; Universities; Variability; Winter; Pregaming; latent transition analysis; college student; alcohol use
• ISSN: 1082-6084; 1532-2491
• DOI: 10.3109/10826084.2016.1162813

Background: Though research is rapidly expanding on pregaming and related risks, studies have not yet identified discrete subtypes of college pregamers or modeled how class membership changes across critical times like college entry. Objectives: Latent Transition Analysis (LTA) identified classes of pregaming behaviors in entering college students and described transitions in latent statuses across the freshman year. Methods: Students with prior alcohol use (N = 711; 51.3% female; 63% White; M age = 18) were surveyed at orientation and re-assessed at three follow-ups (Fall, Winter, and Spring). Items assessed overall drinking (past 30-day, number of binge episodes), pregaming (typical quantity, normativity relative to overall use, estimated pregaming BAC, drinks consumed post-pregaming event), and problems (overall and pregaming-specific). Results: LTA modeling yielded three distinct classes of pregaming membership (Low, Medium and High) that varied as a function of both overall use and pregaming practices. Evaluation of changes over the year indicated the greatest movement occurred immediately upon college entry, with significantly less movement was seen across the remainder of the year. Cross-class comparisons across all four time points showed clear differences in alcohol-related problems (overall as well as pregaming-specific), with students in the High class reporting markedly higher levels of problems on all domains. Conclusions/Importance: Overall, there appears to be considerable heterogeneity in pregaming behaviors, across both students and time that are directly related to differential levels of problems. Findings highlight the need to screen students early for risky drinking practices, including pregaming, and include pregaming-specific material in their campus screening and intervention programming.