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

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

doi:10.1016/j.addbeh.2007.06.019

Cited by 136 publications

(123 citation statements)

References 40 publications

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“…To reduce the prevalence of pregaming, campuses might also benefi t from the use of breath test devices at campus functions, along with requirements that students not be permitted to attend such functions if intoxicated (Borsari et al, 2007). Regarding intervention, personalized feedback interventions (Lewis et al, 2007;Neighbors et al, 2010) might benefi t from assessment and incorporation of feedback on pregaming behavior and its risks in particular. Finally, students who report pregaming, and women in particular, may need to be prioritized for interventions, given that they may be those most at risk for deleterious outcomes.…”

Section: Discussionmentioning

confidence: 99%

Is the Pregame to Blame? Event-Level Associations Between Pregaming and Alcohol-Related Consequences

Merrill

Vermont

Bachrach

et al. 2013

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: Pregaming (drinking before a social occasion) predicts alcohol consequences between persons; people who pregame report greater consequences than those who do not. The present study examined within-person associations between pregaming and daily consequences. Method: Participants were college students (N = 44; 50% female) reporting past-month pregaming. Daily drinks consumed (during pregaming and across the entire drinking episode) and alcohol consequences were assessed with a 30-day Timeline Followback interview. Results: Within individuals, engaging in pregaming predicted consequences experienced on a given day above and beyond the number of drinks consumed across the drinking episode and typical drinking level. Furthermore, there was a trend toward pregaming placing women at more risk for consequences than men. Conclusions: Findings support a context-specifi c risk for consequences that is conferred by pregaming and that is independent of how much drinking occurs across the drinking episode. Results highlight pregaming as a target for future interventions. (J. Stud. Alcohol Drugs, 74, 757-764, 2013) Received: December 18, 2012. Revision: March 21, 2013. This research was supported by National Institute on Alcohol Abuse and Alcoholism Grant R01AA016564 (to Jennifer P. Read).*Correspondence may be sent to Jennifer E. Merrill at the Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, BOX G-S121-4, Providence, RI 02912, or via email at: Jennifer_Merrill@brown.edu. H EAVY DRINKING AND ASSOCIATED alcoholrelated consequences among college students continue to present a public health concern (Hingson et al., 2005(Hingson et al., , 2009. Therefore, examinations of specifi c contexts or drinking behaviors that are associated with alcohol-related consequences are needed. Such work may serve to identify those students most in need of interventions and may help uncover important intervention targets. One specifi c drinking behavior that has been a recent focus of the literature is pregaming. Pregaming, also referred to as prepartying or preloading, is a pervasive and risky drinking practice among college students that commonly involves drinking large quantities of alcohol in a compressed period before a planned social occasion . The current research on pregaming, albeit limited, indicates that this drinking practice places students at risk for experiencing more alcohol-related consequences (Pedersen and LaBrie, 2007;Read et al., 2010). In the present study, we extend this literature by using daily data analyzed with hierarchical linear modeling (HLM) to examine whether, within persons, pregaming (the practice of consuming alcohol before going out for the night or before a function has started) is associated with subsequent alcohol-related consequences at the daily level, above and beyond (a) the amount of drinking across the drinking day and (b) between-person infl uences of typical drinking behavior. We also examined whether the association betw...

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Section: Discussionmentioning

confidence: 99%

Is the Pregame to Blame? Event-Level Associations Between Pregaming and Alcohol-Related Consequences

Merrill

Vermont

Bachrach

et al. 2013

J. Stud. Alcohol Drugs

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“…This is an important limitation of alcohol intervention research. However, the importance of social norms is an exception, as several studies have shown interventions that only include personalized descriptive normative feedback are effective at reducing alcohol use (Lewis & Neighbors, 2007; Lewis, Neighbors, Oster-Aaland, Kirkeby, & Larimer, 2007; Neighbors, Larimer, & Lewis, 2004; Neighbors, Lewis, Bergstrom, & Larimer, 2006; Neighbors et al, 2010). The effect of these interventions on alcohol-related problems, though, is inconsistent, as one study found no effect on alcohol-related problems (Neighbors et al, 2006), while another found effects only for women (Neighbors et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Protective behavioral strategies, social norms, and alcohol-related outcomes

Arterberry¹,

Smith²,

Martens³

et al. 2013

Addiction Research & Theory

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The present study examined the unique contributions of protective behavioral strategies and social norms in predicting alcohol-related outcomes. Participants were 363 students from a large public university in the Midwest who reported at least one binge-drinking episode (5+/4+ drinks for men/women in one sitting) in the past 30 days. Data were collected 1/2010–3/2011. We used SEM to test models where protective behavioral strategies (PBS) and social norms were predictors of both alcohol use and alcohol-related problems, after controlling for the effects of gender. Both PBS and descriptive norms had relationships with alcohol use. PBS also had a relationship with alcohol-related problems. Overall, the findings suggest that PBS and social norms have unique associations with distinct alcohol-related outcomes.

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“…The goal of normative feedback is to highlight discrepancies between an individual’s behaviors and perceptions and the prevailing population norms. Research supports that this is an effective means for reducing alcohol use when used alone (Lewis & Neighbors, 2007; Lewis, Neighbors, Oster-Aaland, Kirkeby, & Larimer, 2007; Neighbors, Larimer, & Lewis, 2004; Neighbors et al, 2010) or in multicomponent interventions (Carey, Scott-Sheldon, Carey, & DeMartini, 2007). …”

mentioning

confidence: 97%

Effects of normative feedback for drinkers who consume less than the norm: Dodging the boomerang.

Prince¹,

Reid²,

Carey³

et al. 2014

Psychology of Addictive Behaviors

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A number of alcohol interventions designed for college students attempt to correct exaggerated perceptions of alcohol use on college campuses through the use of personalized normative feedback. Personalized normative feedback has been shown effective in reducing drinking both as a stand-alone intervention and as a part of a multi-component intervention. Typically, this feedback is targeted to heavier drinkers, in order to create a discrepancy between their personal beliefs and behavior and the actual lower levels of use on campus. However, little is known about how this form of normative feedback might affect lighter drinkers who learn that they are drinking less than the typical student at their school. The risk is a potential boomerang effect, or an increase in drinking among lighter drinkers receiving personalized feedback. The current study examined four samples from three geographic locations, two employing computer delivered personalized normative feedback alone and two delivering personalized feedback in the context of a brief motivational intervention. We found no evidence for a boomerang effect among lighter drinkers receiving personalized normative feedback in any of the four samples. These findings help to assuage fears of increasing drinking among lighter drinkers through widespread implementation of normative interventions for college students in the absence of screening for current drinking status.

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

Cited by 136 publications

References 40 publications

Is the Pregame to Blame? Event-Level Associations Between Pregaming and Alcohol-Related Consequences

Is the Pregame to Blame? Event-Level Associations Between Pregaming and Alcohol-Related Consequences

Protective behavioral strategies, social norms, and alcohol-related outcomes

Effects of normative feedback for drinkers who consume less than the norm: Dodging the boomerang.

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