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Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials
by
Russell, Michael A
, Coatsworth, J. Douglas
, Mason, Michael J
, Rodriguez, Gabriel C
, Mennis, Jeremy
, Brown, Aaron
, Zaharakis, Nikola
in
Adolescents
/ African American Children
/ African Americans
/ Alcohol Abuse
/ Alcohol use
/ Clinical trials
/ Counseling
/ Drug abuse
/ Drug use
/ Drugs
/ Efficacy
/ Escalation
/ Individual differences
/ Intervention
/ Interviews
/ Marijuana
/ Medical research
/ Meta Analysis
/ Moderation
/ Moderators
/ Networks
/ Participant Characteristics
/ Peer Counseling
/ Peer Groups
/ Peer Relationship
/ Peer relationships
/ Peers
/ Randomized Controlled Trials
/ Regression (Statistics)
/ Structural equation modeling
/ Structural Equation Models
/ Substance abuse
/ Teenagers
/ Tobacco
/ Young adults
2023
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Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials
by
Russell, Michael A
, Coatsworth, J. Douglas
, Mason, Michael J
, Rodriguez, Gabriel C
, Mennis, Jeremy
, Brown, Aaron
, Zaharakis, Nikola
in
Adolescents
/ African American Children
/ African Americans
/ Alcohol Abuse
/ Alcohol use
/ Clinical trials
/ Counseling
/ Drug abuse
/ Drug use
/ Drugs
/ Efficacy
/ Escalation
/ Individual differences
/ Intervention
/ Interviews
/ Marijuana
/ Medical research
/ Meta Analysis
/ Moderation
/ Moderators
/ Networks
/ Participant Characteristics
/ Peer Counseling
/ Peer Groups
/ Peer Relationship
/ Peer relationships
/ Peers
/ Randomized Controlled Trials
/ Regression (Statistics)
/ Structural equation modeling
/ Structural Equation Models
/ Substance abuse
/ Teenagers
/ Tobacco
/ Young adults
2023
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Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials
by
Russell, Michael A
, Coatsworth, J. Douglas
, Mason, Michael J
, Rodriguez, Gabriel C
, Mennis, Jeremy
, Brown, Aaron
, Zaharakis, Nikola
in
Adolescents
/ African American Children
/ African Americans
/ Alcohol Abuse
/ Alcohol use
/ Clinical trials
/ Counseling
/ Drug abuse
/ Drug use
/ Drugs
/ Efficacy
/ Escalation
/ Individual differences
/ Intervention
/ Interviews
/ Marijuana
/ Medical research
/ Meta Analysis
/ Moderation
/ Moderators
/ Networks
/ Participant Characteristics
/ Peer Counseling
/ Peer Groups
/ Peer Relationship
/ Peer relationships
/ Peers
/ Randomized Controlled Trials
/ Regression (Statistics)
/ Structural equation modeling
/ Structural Equation Models
/ Substance abuse
/ Teenagers
/ Tobacco
/ Young adults
2023
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Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials
Journal Article
Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials
2023
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Overview
The current study describes an individual participant data meta-analysis (IPDMA) testing the efficacy of a peer-network counseling (PNC) intervention for preventing substance use escalation in adolescents and young adults. PNC has shown efficacy in reducing substance use among adolescents and young adults across small-scale randomized controlled trials (RCTs). Identifying expected large-scale effects and moderators is an important next step in guiding use of PNC in practice. To this end, we combine three small-scale RCTs to test PNC intervention effects on substance use change in a combined sample of 421 adolescents and young adults (50% intervention, 55% female, 69% Black/African-American, M age [SD] = 17.3 [2.2] years). Our approach combines latent change score modeling in a structural equation modeling (SEM) framework with study-level fixed effects to obtain (a) a more generalizable PNC effect than we could obtain with each constituent sample and (b) greater power and precision for individual-level moderation of treatment effects. We found that although PNC main effects on substance use outcomes (past 30-day cannabis, alcohol, tobacco, and drug use) were not significant, PNC effects were moderated by individual-level pre-intervention substance use frequency. PNC more strongly reduced drug use at the 1-month follow-up and cannabis use at the 3-month follow-up among participants who showed higher baseline use of these substances. Implications of our approach and findings for prevention researchers are discussed.
Publisher
Springer Nature B.V
Subject
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