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Do misperceptions of peer drinking influence personal drinking behavior? Results from a complete social network of first-year college students.

Published on May 1, 2019in Psychology of Addictive Behaviors2.97
· DOI :10.1037/adb0000455
Melissa J. Cox3
Estimated H-index: 3
(ECU: East Carolina University),
Angelo M. DiBello11
Estimated H-index: 11
(Brown University)
+ 4 AuthorsNancy P. Barnett40
Estimated H-index: 40
(Brown University)
Abstract
  • References (28)
  • Citations (1)
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References28
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#1Nancy P. Barnett (Brown University)H-Index: 40
#2Melissa A. Clark (UMMS: University of Massachusetts Medical School)H-Index: 42
Last. John M. Light (Oregon Research Institute)H-Index: 14
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Abstract Heavy drinking and its consequences among college students represent a serious public health problem, and peer social networks are a robust predictor of drinking-related risk behaviors. In a recent trial, we administered a Brief Motivational Intervention (BMI) to a small number of first-year college students to assess the indirect effects of the intervention on peers not receiving the intervention. Objectives: To present the research design, describe the methods used to successfully enr...
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#1Shannon R. Kenney (Brown University)H-Index: 18
#2Miles Q. Ott (Brown University)H-Index: 7
Last. Nancy P. Barnett (Brown University)H-Index: 40
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Abstract Personalized normative feedback is a recommended component of alcohol interventions targeting college students. However, normative data are commonly collected through campus-based surveys, not through actual participant-referent relationships. In the present investigation, we examined how misperceptions of residence hall peers, both overall using a global question and those designated as important peers using person-specific questions, were related to students' personal drinking behavio...
10 CitationsSource
#1Abby L. Braitman (ODU: Old Dominion University)H-Index: 9
#2James M. Henson (ODU: Old Dominion University)H-Index: 19
ABSTRACTObjective: Computerized interventions are cost-effective and can quickly deliver individual feedback to many students. However, in-person interventions are more efficacious. The current study sought to improve the efficacy of a popular online intervention via e-mailed boosters with personalized feedback. Participants: Participants were 213 student drinkers at a southeastern public university, ages 18–24. Methods: Students were randomized into (1) intervention only, or (2) intervention pl...
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#1Dale T. Miller (Stanford University)H-Index: 54
#2Deborah A. Prentice (Princeton University)H-Index: 27
Providing people with information about the behavior and attitudes of their peers is a strategy commonly employed by those seeking to reduce behavior deemed harmful either to individuals (e.g., high alcohol consumption) or the collective (e.g., high energy consumption). We review norm-based interventions, detailing the logic behind them and the various forms they can take. We give special attention to interventions designed to decrease college students' drinking and increase environment-friendly...
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#1Stephen P. Borgatti (UK: University of Kentucky)H-Index: 50
#2Ajay Mehra (UK: University of Kentucky)H-Index: 16
Last. Giuseppe Labianca (UK: University of Kentucky)H-Index: 22
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Over the past decade, there has been an explosion of interest in network research across the physical and social sciences. For social scientists, the theory of networks has been a gold mine, yielding explanations for social phenomena in a wide variety of disciplines from psychology to economics. Here, we review the kinds of things that social scientists have tried to explain using social network analysis and provide a nutshell description of the basic assumptions, goals, and explanatory mechanis...
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#1Carter T. Butts (UCI: University of California, Irvine)H-Index: 30
Modern social network analysis---the analysis of relational data arising from social systems---is a computationally intensive area of research. Here, we provide an overview of a software package which provides support for a range of network analytic functionality within the R statistical computing environment. General categories of currently supported functionality are described, and brief examples of package syntax and usage are shown.
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#1Kate B. Carey (SU: Syracuse University)H-Index: 67
#2Lori A. J. Scott-Sheldon (SU: Syracuse University)H-Index: 28
Last. Kelly S. DeMartini (SU: Syracuse University)H-Index: 8
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In light of increasing numbers of controlled studies evaluating alcohol abuse prevention interventions for college drinkers, we conducted a meta-analysis to summarize the current status of the literature. The meta-analysis includes 62 studies, published between 1985-early 2007, with 13 750 participants and 98 intervention conditions. All studies were content coded for study descriptors, participant characteristics, and intervention components. We derived weighted mean effect sizes for alcohol in...
462 CitationsSource
#1Nancy P. Barnett (Brown University)H-Index: 40
#2James G. Murphy (Brown University)H-Index: 37
Last. Peter M. Monti (Brown University)H-Index: 66
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Abstract The purpose of this study was to evaluate the efficacy of two brief interventions and the inclusion of a 1-month booster session with college students who were referred to attend alcohol education following an alcohol-related incident. Participants ( N = 225; 48.9% male) were randomly assigned to receive one session of a Brief Motivational Interview (BMI) or computer-delivered intervention (CDI) with the Alcohol 101 CD-ROM. Participants were also randomly assigned to booster/no booster....
163 CitationsSource
#1Clayton Neighbors (UW: University of Washington)H-Index: 60
#2Christine M. Lee (UW: University of Washington)H-Index: 38
Last. Mary E. Larimer (UW: University of Washington)H-Index: 56
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Objective: This research was designed to evaluate the relative contribution of social norms, demographics, drinking motives, and alcohol expectancies in predicting alcohol consumption and related problems among heavy-drinking college students. Method: Participants included 818 (57.6% women) first-year undergraduates who reported at least one heavy-drinking episode in the previous month. In addition to providing demographic information (gender and fraternity/sorority membership) participants comp...
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Objective: The potential effectiveness of two group-administered social-skills training interventions for reducing high-risk drinking behavior was evaluated through a prospective randomized intervention trial with 3,406 members of a national college fraternity. Method: Ninety eight of 99 chapters of a national fraternity were randomly assigned, within three strata, to receive (1) a 3-hour baseline intervention, (2) the same baseline intervention plus two booster sessions, or (3) assessments only...
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#1Joanne Angosta (UH: University of Houston)
#2Mai-Ly N. Steers (Duquesne University)
Last. Clayton Neighbors (UH: University of Houston)H-Index: 60
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Abstract There is considerable research demonstrating that college life alcohol salience is associated with alcohol use among undergraduates. However, the strength of this association may depend on whether students self-identify with other students on their campus; self-identification with other students may indicate how influential other students are on an individuals' drinking. As such, the current research investigated whether identification with the “typical student” moderated the relationsh...
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