Evidence map›Paper›PMID 24411794›Full record

ArticleJournal of studies on alcohol and drugs2014

Predictors of subgroups based on maximum drinks per occasion over six years for 833 adolescents and young adults in COGA.

Marc A Schuckit, Tom L Smith, George P Danko, Kathleen K Bucholz, Arpana Agrawal, Danielle M Dick, John I Nurnberger, John Kramer, Michie Hesselbrock, Gretchen Saunders and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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  9. Sex and Adolescent Ethanol Exposure Influence Pavlovian Conditioned Approach.Alcoholism, clinical and experimental research · 2017
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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

11 authors at 6 institutions in 1 country.

Marc A SchuckitUniversity of California, San Diego, La Jolla, California.
Tom L SmithUniversity of California, San Diego, La Jolla, California.
George P DankoUniversity of California, San Diego, La Jolla, California.
Kathleen K BucholzWashington University in St. Louis, St. Louis, Missouri.
Arpana AgrawalWashington University in St. Louis, St. Louis, Missouri.
Danielle M DickVirginia Commonwealth University, Richmond, Virginia.
John I NurnbergerIndiana University, Bloomington, Indiana.
John KramerUniversity of Iowa, Iowa City, Iowa.
Michie HesselbrockUniversity of Connecticut, Storrs, Connecticut.
Gretchen SaundersUniversity of California, San Diego, La Jolla, California.
Victor HesselbrockUniversity of Connecticut, Storrs, Connecticut.
University of California, San Diego · USUniversity of Connecticut · USWashington University in St. Louis · USIndiana University Bloomington · USUniversity of Iowa · USVirginia Commonwealth University · US

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 AA008401NIAAA NIH HHS U10AA008401
6 · The paper itself

Abstract

objectiveA person's pattern of heavier drinking often changes over time, especially during the early drinking years, and reflects complex relationships among a wide range of characteristics. Optimal understanding of the predictors of drinking during times of change might come from studies of trajectories of alcohol intake rather than cross-sectional evaluations.

methodThe patterns of maximum drinks per occasion were evaluated every 2 years between the average ages of 18 and 24 years for 833 subjects from the Collaborative Study on the Genetics of Alcoholism. Latent class growth analysis identified latent classes for the trajectories of maximum drinks, and then logistic regression analyses highlighted variables that best predicted class membership.

resultsFour latent classes were found, including Class 1 (69%), with about 5 maximum drinks per occasion across time; Class 2 (15%), with about 9 drinks at baseline that increased to 18 across time; Class 3 (10%), who began with a maximum of 18 drinks per occasion but decreased to 9 over time; and Class 4 (6%), with a maximum of about 22 drinks across time. The most consistent predictors of higher drinking classes were female sex, a low baseline level of response to alcohol, externalizing characteristics, prior alcohol and tobacco use, and heavier drinking peers.

conclusionsFour trajectory classes were observed and were best predicted by a combination of items that reflected demography, substance use, level of response and externalizing phenotypes, and baseline environment and attitudes.

Indexed as

Alcoholic BeveragesCooperative BehaviorAdolescentAlcohol DrinkingFemaleForecastingHumansMaleProspective StudiesSurveys and QuestionnairesTime FactorsYoung Adult

Identifiers

PMID24411794
PMCPMC3893632
OpenAlexW2101577325

What OpenQuestion holds

Textmetadata
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.