Evidence map›Paper›PMID 38240663›Full record

ArticleAlcohol, clinical & experimental research2024

Dynamic social network analysis of a brief alcohol intervention trial in heavy-drinking college students shows spillover effects.

Nancy P Barnett, John M Light, Melissa A Clark, Miles Q Ott, Graham T DiGuiseppi, Matthew K Meisel

Open access · greenAbstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

6 authors at 4 institutions in 1 country.

Nancy P BarnettBrown University, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0001-9634-8287
John M LightOregon Research Institute, Eugene, Oregon, USA.
Melissa A ClarkBrown University, Providence, Rhode Island, USA.
Miles Q OttTubi, San Francisco, California, USA.
Graham T DiGuiseppiSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California, USA.
Matthew K MeiselBrown University, Providence, Rhode Island, USA.
Brown University · USOregon Research Institute · USSan Francisco Foundation · USUniversity of Southern California · US

Funding

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 K01AA025994NIAAA NIH HHS R01 AA023522NIAAA NIH HHS R01AA023522
6 · The paper itself

Abstract

backgroundHeavy-drinking college students tend to have close social networks, and there is theoretical and empirical support for the idea that behavior change can spread through those networks via close ties. The objective of this research was to determine whether intervention-induced behavior change in a subset of heavy drinkers in a sociometric (whole) college class-year social network is transmitted to other heavy drinkers in the network, resulting in reduced behavioral risk and change in network ties.

methodsWe conducted a controlled trial in which most of a first-year college class (N = 1236; 56.9% female) was enrolled, with alcohol use and social network ties measured early in each of three semesters. Following a baseline assessment, the network was divided into two groups, brief motivational intervention (BMI) and natural history control (NHC) according to dormitory residence location. A subset of heavy drinkers in each group was selected, and those in the BMI group received an in-person intervention.

resultsUsing stochastic actor-oriented modeling, we found a significant tendency for participants in the BMI group to shed ties with individuals with similar drinking behaviors between the first and second semesters, relative to the NHC group. Furthermore, heavy drinkers with reciprocal ties to intervention recipients in the BMI group showed a significant reduction in drinks per week.

conclusionsIndividual alcohol interventions appear to have effects both on behavior and network connections among individuals who did not receive the intervention. Continued research is needed to identify the optimal conditions for the diffusion of behavior change.

Indexed as

alcohol usebrief alcohol interventionsocial networkspillover effect

Identifiers

PMID38240663
PMCPMC10922236
OpenAlexW4391024890

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.