Evidence map›Paper›PMID 33793279›Full record

ArticlePsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2021

Do alcohol interventions affect peers who do not receive the intervention? Modeling treatment contagion effects via simulations of adolescent social networks.

Kevin A Hallgren, Barbara S McCrady, Katie Witkiewitz, Thomas P Caudell

Open access · hybridAbstract read
In one paragraph

Article in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2021. 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
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Social Network Analysis of Diffusion Among American Indian Youth in a Culturally Adapted, Family-focused Prevention Program.Prevention science : the official journal of the Society for Prevention Research · 2023
    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

4 authors at 2 institutions in 1 country.

Kevin A HallgrenBehavioral Research in Technology and Engineering (BRiTE) Center.ORCID 0000-0001-8386-3984
Barbara S McCradyCenter on Alcoholism, Substance Abuse, and Addictions.ORCID 0000-0002-2442-396X
Katie WitkiewitzCenter on Alcoholism, Substance Abuse, and Addictions.ORCID 0000-0002-1086-3067
Thomas P CaudellDepartment of Electrical and Computer Engineering.
Council on Alcoholism and Drug Abuse · USBehavioral Tech · US

Funding

Developing a tool to assess, provide feedback, and facilitate discussion of mechanisms of change in frontline addiction treatmentK01AA024796 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2016 to 2020
$870k
Targeting social networks to maximize alcohol use disorder treatment & preventionF31AA021031 · NIAAA · UNIVERSITY OF NEW MEXICO · PI HALLGREN, KEVIN A. · 2011 to 2013
$55k
National Institutes of Health; National Institute on Alcohol Abuse and AlcoholismNIAAA NIH HHS F31 AA021031NIAAA NIH HHS K01 AA024796
6 · The paper itself

Abstract

objectiveAdolescents' drinking is influenced by their friends' drinking. However, it is unclear whether individually-targeted alcohol interventions reduce drinking in the friends of individuals who receive the intervention. This study used simulations of drinking in simulated longitudinal social networks to test whether individually-targeted alcohol interventions may be expected to spread to non-targeted individuals.

methodStochastic actor-based models simulated longitudinal social networks where changes in drinking and friendships were modeled using parameters from a meta-analysis of high school 10th grade social networks. Social influence (i.e., how much one's friends' drinking affects their own drinking) and social selection (i.e., how much one's drinking affects who they select as friends) were manipulated at several levels. At the midpoint of each simulation, a randomly-selected heavy-drinking individual was experimentally assigned to an intervention (changing their drinking status to non-drinking) or a control condition (no change in drinking status) and the drinking statuses of that individual's friends were recorded at the end of the simulation.

resultsFriends of individuals who received the intervention significantly reduced their drinking, with higher reductions occurring in networks with greater social influence. However, all effect sizes were small (e.g., average per-friend reduction of .07 on a 5-point drinking scale).

conclusionsIndividually-targeted alcohol interventions may have small effects on reducing the drinking of non-targeted adolescents, with social influence being a mechanism that drives such effects. Due to small effect sizes, many adolescents may need to receive alcohol interventions to produce measurable effects on drinking outcomes for non-targeted individuals. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Indexed as

Adolescent BehaviorFriendsPeer GroupSocial NetworkingAdolescentFemaleHumansMaleUnderage Drinking

Identifiers

PMID33793279
PMCPMC9199539
OpenAlexW3145195289

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.