Evidence map›Paper›PMID 25546144›Full record

SynthesisPsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2015

Project INTEGRATE: An integrative study of brief alcohol interventions for college students.

Eun-Young Mun, Jimmy de la Torre, David C Atkins, Helene R White, Anne E Ray, Su-Young Kim, Yang Jiao, Nickeisha Clarke, Yan Huo, Mary E Larimer and 2 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 10 pooled it
3.4field-weighted citation impact, top 7% 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

43 citing papers in PubMed, 10 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  3. Examining replicability in addictions research: How to assess and ways forward.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Pooled it
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  11. Trial
  12. A randomized pilot trial of a mobile delivered brief motivational interviewing and behavioral economic alcohol intervention for emerging adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Trial
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  15. Article
  16. Review
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  19. Review
  20. A Tutorial on Cognitive Diagnosis Modeling for Characterizing Mental Health Symptom Profiles Using Existing Item Responses.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

12 authors at 3 institutions in 4 countries.

Eun-Young MunCenter of Alcohol Studies.
Jimmy de la TorreCenter of Alcohol Studies.
David C AtkinsDepartment of Psychiatry and Behavioral Sciences, The University of Washington.
Helene R WhiteCenter of Alcohol Studies.
Anne E RayCenter of Alcohol Studies.
Su-Young KimDepartment of Psychology, Ewha Womans University.
Yang JiaoCenter of Alcohol Studies.
Nickeisha ClarkeCenter of Alcohol Studies.
Yan HuoCenter of Alcohol Studies.
Mary E LarimerDepartment of Psychiatry and Behavioral Sciences, The University of Washington.
David HuhDepartment of Psychiatry and Behavioral Sciences, The University of Washington.
Project INTEGRATE Team
Behavioral Tech Research, Inc. · USInstitute of Alcohol Studies · GBEwha Womans University · KR

Funding

Innovative Analyses of Alcohol Intervention Trials for College StudentsR01AA019511 · NIAAA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI MUN, EUN-YOUNG · 2010 to 2021
$4.6M
NIAAA NIH HHS R01 AA019511
6 · The paper itself

Abstract

This article provides an overview of a study that synthesizes multiple, independently collected alcohol intervention studies for college students into a single, multisite longitudinal data set. This research embraced innovative analytic strategies (i.e., integrative data analysis or meta-analysis using individual participant-level data), with the overall goal of answering research questions that are difficult to address in individual studies such as moderation analysis, while providing a built-in replication for the reported efficacy of brief motivational interventions for college students. Data were pooled across 24 intervention studies, of which 21 included a comparison or control condition and all included one or more treatment conditions. This yielded a sample of 12,630 participants (42% men; 58% first-year or incoming students). The majority of the sample identified as White (74%), with 12% Asian, 7% Hispanic, 2% Black, and 5% other/mixed ethnic groups. Participants were assessed 2 or more times from baseline up to 12 months, with varying assessment schedules across studies. This article describes how we combined individual participant-level data from multiple studies, and discusses the steps taken to develop commensurate measures across studies via harmonization and newly developed Markov chain Monte Carlo (MCMC) algorithms for 2-parameter logistic item response theory models and a generalized partial credit model. This innovative approach has intriguing promises, but significant barriers exist. To lower the barriers, there is a need to increase overlap in measures and timing of follow-up assessments across studies, better define treatment and control groups, and improve transparency and documentation in future single intervention studies.

Indexed as

Data Interpretation, StatisticalMeta-Analysis as TopicAdultAlcohol-Related DisordersFemaleFollow-Up StudiesHumansMalePsychotherapyResearch DesignStudentsUniversitiesYoung Adult

Identifiers

PMID25546144
PMCPMC4388772
OpenAlexW2329824185

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.