Evidence map›Paper›PMID 28440866›Full record

ArticleAlcoholism, clinical and experimental research2017

A Prospective Comparison of How the Level of Response to Alcohol and Impulsivity Relate to Future DSM-IV Alcohol Problems in the COGA Youth Panel.

Marc A Schuckit, Tom L Smith, George Danko, Robert Anthenelli, Lara Schoen, Mari Kawamura, John Kramer, Danielle M Dick, Zoe Neale, Samuel Kuperman and 5 more

Abstract readComparative Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

15 authors.

Marc A SchuckitDepartment of Psychiatry, University of California, San Diego, La Jolla, California.ORCID http://orcid.org/0000-0002-2323-7858
Tom L SmithDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
George DankoDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Robert AnthenelliDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Lara SchoenDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Mari KawamuraDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
John KramerDepartment of Psychiatry, The University of Iowa, Iowa City, Iowa.
Danielle M DickDepartment of Psychiatry, Virginia Commonwealth University, Richmond, Virginia.
Zoe NealeDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia.
Samuel KupermanChild Psychiatry Clinic, The University of Iowa, Iowa City, Iowa.
Vivia McCutcheonDepartment of Psychiatry, Washington University, St. Louis, Missouri.
Andrey P AnokhinWashington University in Saint Louis School of Medicine, St. Louis, Missouri.
Victor HesselbrockDepartment of Psychiatry, University of Connecticut, Farmington, Connecticut.
Michie HesselbrockDepartment of Psychiatry, School of Medicine, University of Connecticut, Farmington, Connecticut.
Kathleen BucholzWashington University in Saint Louis School of Medicine, St. Louis, Missouri.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
NIAAA NIH HHS K02 AA018755NIAAA NIH HHS U10 AA008401
6 · The paper itself

Abstract

backgroundAlcohol problems reflect both environmental and genetic characteristics that often operate through endophenotypes like low levels of response (low LRs) to alcohol and higher impulsivity. Relationships of these preexisting characteristics to alcohol problems have been studied, but few analyses have included both low LR and impulsivity in the same model.

methodsWe extracted prospective data from 1,028 participants in the Prospective Youth Sample of the Collaborative Study on the Genetics of Alcoholism (COGA). At Time 1 (age 18), these drinking but non-alcohol-dependent males and females completed the Barratt Impulsivity Scale and the Self-Report of the Effects of Alcohol questionnaire regarding drinks required for effects the first 5 times of drinking (SRE5-LR). Two years later, they reported perceived drinking patterns of peers (PEER), their own alcohol expectancies (EXPECT), and their drinking to cope with stress (COPE). Subsequently, at Time 3, participants reported numbers of up to 11 DSM-IV alcohol criterion items experienced in the 2 years since Time 2 (ALC PROBS). Data were analyzed using structural equation modeling (SEM).

resultsIn the SEM, Baseline SRE5-LR and impulsivity were weakly related and did not interact in predicting later ALC PROBS. LR was directly linked to Time 3 ALC PROBS and to PEER, but had no direct path to EXPECT, with partial mediation to ALC PROBS through PEER to EXPECT and via COPE. Impulsivity did not relate directly to ALC PROBS or PEER, but was directly related to EXPECT and COPE, with effects on ALC PROBS also operating through EXPECT and COPE.

conclusionsLow LRs and impulsivity related to Time 3 ALC PROBS through somewhat different paths. Education- and counseling-based approaches to mitigate future alcohol problems may benefit from emphasizing different potential mediators of adverse alcohol outcomes for youth with low LRs versus those with high impulsivity or both characteristics.

Indexed as

Impulsive BehaviorAdolescentAlcohol-Related DisordersFemaleHumansMaleProspective StudiesYoung AdultAlcohol ProblemsImpulsivityLevels of Response to AlcoholStructural Equation Models

Identifiers

PMID28440866
PMCPMC5512427

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.