Evidence map›Paper›PMID 38301589›Full record

ArticleAddictive behaviors2024

Associations between frequency of exposure to peer-generated alcohol-related posts and alcohol use within a social network of college students.

Megan Strowger, Matthew K Meisel, Michelle Haikalis, Michelle L Rogers, Nancy P Barnett

Abstract read
In one paragraph

Article in Addictive behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

5 authors.

Megan StrowgerDepartment of Behavioral and Social Sciences, Brown University, Providence, RI 02912, United States. Electronic address: Megan_strowger@brown.edu.
Matthew K MeiselDepartment of Behavioral and Social Sciences, Brown University, Providence, RI 02912, United States. Electronic address: Matthew_meisel@brown.edu.
Michelle HaikalisDepartment of Behavioral and Social Sciences, Brown University, Providence, RI 02912, United States. Electronic address: Michelle_haikalis@brown.edu.
Michelle L RogersDepartment of Behavioral and Social Sciences, Brown University, Providence, RI 02912, United States. Electronic address: Michelle_rogers@brown.edu.
Nancy P BarnettDepartment of Behavioral and Social Sciences, Brown University, Providence, RI 02912, United States. Electronic address: Nancy_barnett@brown.edu.

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
Event-Level Analysis of Alcohol Use and Bystander Behavior in Social Drinking Contexts: A Novel Approach to Inform Alcohol-Related Sexual Assault PreventionK08AA029181 · NIAAA · BROWN UNIVERSITY · PI Michelle Haikalis · 2022 to 2026
$973k
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
The impact of friends sharing different modalities of alcohol-related social media content on alcohol consumption: A longitudinal examination of changes in content shared by social networks over timeF31AA029945 · NIAAA · OLD DOMINION UNIVERSITY · PI STROWGER, MEGAN · 2022 to 2023
$43k
NIAAA NIH HHS F31 AA029945NIAAA NIH HHS K01 AA025994NIAAA NIH HHS K08 AA029181NIAAA NIH HHS R01 AA023522NIAAA NIH HHS T32 AA007459
6 · The paper itself

Abstract

Peer alcohol use, commonly assessed via perceptions of how many drinks peers consume, is a robust predictor of college drinking. These perceptions are formed by in-person exposure to peer drinking but also may be affected by seeing alcohol-related content (ARC) shared on peer social media accounts. Most research assesses exposure by asking about the frequency of ARC sharing by a whole friend group, potentially missing influences from specific friends. Social network methods collect information about specific friends and their behavior but few studies have used these methods to examine the effects of ARC on drinking, nor have they examined potential moderators of this relationship. The purpose of this study was to examine whether perceived frequency of exposure to ARC shared by social network members on social media is associated with participant alcohol use after controlling for network members' self-reported alcohol use, and if participant gender and relationship qualities with network members moderate this association. Participants were 994 college students (Mage = 21.17, SD = 0.47; 61.8 % female; 55.4 % White; 12.3 % Hispanic) who completed a web-based survey. Due to the social network design, network autocorrelation analyses were conducted, which revealed that greater perceived frequency of exposure to network member ARC was significantly associated with higher alcohol quantity above and beyond network members' alcohol use. Peer ARC had a unique association with drinking behavior independent of in-person peer alcohol use, although the cross-sectional design precludes making causal inferences. Clinicians delivering alcohol interventions to college students may wish to discuss exposure to ARC as another important source of peer influence and how media literacy may help reduce the effects.

Indexed as

Interpersonal RelationsPeer GroupCross-Sectional StudiesFemaleHumansMaleSocial NetworkingStudentsAlcoholAlcohol-related contentCollege studentsSocial mediaSocial network

Identifiers

PMID38301589
PMCPMC10988997

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.