Evidence map›Paper›PMID 29291510›Full record

ArticleAddictive behaviors2018

An event- and network-level analysis of college students' maximum drinking day.

Matthew K Meisel, Angelo M DiBello, Sara G Balestrieri, Miles Q Ott, Graham T DiGuiseppi, Melissa A Clark, Nancy P Barnett

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  4. Social network moderators of brief alcohol intervention impact.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Matthew K MeiselCenter for Alcohol and Addiction Studies, Brown University, United States. Electronic address: matthew_meisel@brown.edu.
Angelo M DiBelloCenter for Alcohol and Addiction Studies, Brown University, United States.
Sara G BalestrieriCenter for Alcohol and Addiction Studies, Brown University, United States.
Miles Q OttSmith College, United States.
Graham T DiGuiseppiCenter for Alcohol and Addiction Studies, Brown University, United States.
Melissa A ClarkUniversity of Massachusetts Medical School, United States.
Nancy P BarnettCenter for Alcohol and Addiction Studies, Brown University, United States.
John Brown University · USSmith College · USUniversity of Massachusetts Chan Medical School · US

Funding

ALCOHOL INTERVENTION/TREATMENT OUTCOME RESEARCH TRAININGT32AA007459 · NIAAA · BROWN UNIVERSITY · PI ROBERT MIRANDA, PETER M. MONTI · 1986 to 2026
$13.3M
Reducing Hazardous Alcohol Use in Social Networks using Targeted InterventionR01AA023522 · NIAAA · BROWN UNIVERSITY · PI BARNETT, NANCY P · 2015 to 2020
$3.7M
Developmental Transitions, Social Networks, and Alcohol Use Among Non Four-Year College Emerging AdultsK01AA025994 · NIAAA · BROWN UNIVERSITY · PI MEISEL, MATTHEW K · 2017 to 2021
$902k
NIAAA NIH HHS K01 AA025994NIAAA NIH HHS R01 AA023522NIAAA NIH HHS T32 AA007459
6 · The paper itself

Abstract

backgroundHeavy episodic drinking is common among college students and remains a serious public health issue. Previous event-level research among college students has examined behaviors and individual-level characteristics that drive consumption and related consequences but often ignores the social network of people with whom these heavy drinking episodes occur. The main aim of the current study was to investigate the network of social connections between drinkers on their heaviest drinking occasions.

methodsSociocentric network methods were used to collect information from individuals in the first-year class (N=1342) at one university. Past-month drinkers (N=972) reported on the characteristics of their heaviest drinking occasion in the past month and indicated who else among their network connections was present during this occasion.

resultsAverage max drinking day indegree, or the total number of times a participant was nominated as being present on another students' heaviest drinking occasion, was 2.50 (SD=2.05). Network autocorrelation models indicated that max drinking day indegree (e.g., popularity on heaviest drinking occassions) and peers' number of drinks on their own maximum drinking occasions were significantly associated with participant maximum number of drinks, after controlling for demographic variables, pregaming, and global network indegree (e.g., popularity in the entire first-year class).

conclusionBeing present at other peers' heaviest drinking occasions is associated with greater drinking quantities on one's own heaviest drinking occasion. These findings suggest the potential for interventions that target peer influences within close social networks of drinkers.

Indexed as

Alcohol Drinking in CollegePeer InfluenceSocial BehaviorAdolescentBinge DrinkingFemaleFriendsHumansMalePeer GroupStudentsYoung AdultAlcoholCollege studentsEvent-levelMaximum drinksSocial network analysis

Identifiers

PMID29291510
PMCPMC5807110
OpenAlexW2776501936

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.