Evidence map›Paper›PMID 31539868›Full record

ArticleDrug and alcohol dependence2019

Addiction resistance to alcohol: What about heavy drinkers who avoid alcohol problems?

Jordan R Hoffmeister, Andrew J Cohoon, Kristen H Sorocco, Ashley Acheson, William R Lovallo

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Listening to the Data: Computational Approaches to Addiction and Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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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

5 authors at 2 institutions in 1 country.

Jordan R HoffmeisterDepartment of Psychiatry, Behavioral Sciences Labs, The University of Oklahoma Health Sciences Center, 755 Research Parkway, Ste. 568, Oklahoma City, OK, 73104, USA. Electronic address: joh0515@utulsa.edu.
Andrew J CohoonDepartment of Psychiatry, Behavioral Sciences Labs, The University of Oklahoma Health Sciences Center, 755 Research Parkway, Ste. 568, Oklahoma City, OK, 73104, USA.
Kristen H SoroccoDepartment of Psychiatry, Behavioral Sciences Labs, The University of Oklahoma Health Sciences Center, 755 Research Parkway, Ste. 568, Oklahoma City, OK, 73104, USA.
Ashley AchesonDepartment of Psychiatry, College of Medicine, at the University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
William R LovalloDepartment of Psychiatry, Behavioral Sciences Labs, The University of Oklahoma Health Sciences Center, 755 Research Parkway, Ste. 568, Oklahoma City, OK, 73104, USA.
University of Oklahoma Health Sciences Center · USUniversity of Arkansas for Medical Sciences · US

Funding

Psychophysiological Precursors of AlcoholismR01AA012207 · NIAAA · UNIV OF ARKANSAS FOR MED SCIS · PI ACHESON, ASHLEY, KOCHUNOV, PETER V. · 2001 to 2025
$9.0M
NIAAA NIH HHS R01 AA012207
6 · The paper itself

Abstract

backgroundSome individuals are resistant to alcohol use disorders despite high levels of intake. Addiction Resistance (AR) measures the disparity between alcohol consumption and alcohol use disorder (AUD) symptoms, such that some persons exhibit few (AUD) symptoms despite higher intake. The validity of the concept and the factors contributing to AR are not well understood. The aim of this study was to predict AR based on variables related to risk for addiction that are measured in the Family Health Patterns Project.

methodParticipants were healthy young adults (n = 1122) with and without a family history of alcohol and other substance use disorders who were given measures of mood stability and risk-taking tendencies, and were interviewed to determine alcohol intake, AUD symptoms, and other substance use disorders (SUD). AR was calculated using maximal lifetime alcohol intake and number of AUD symptoms.

resultsA principal components analysis was run with varimax rotation, which yielded three components: Component 1 indexed behavioral and mood regulation, Component 2 encompassed family and environmental factors, and Component 3 included cognitive factors. A multiple regression analysis revealed that Component 1 and Component 2 were predictive of AR whereas Component 3 was not. DISCUSSION: Individuals who reported greater emotional stability, norm adherence, risk avoidance, and fewer family members with substance use disorders were more resistant to AUD despite higher alcohol intake. These findings suggest that AUD risk and resistance may represent different points of the same continuum.

Indexed as

Disease ResistanceRisk AssessmentAdultAlcohol DrinkingAlcoholismBehavior, AddictiveFamily HealthFemaleHumansMalePredictive Value of TestsPrincipal Component AnalysisRegression AnalysisReproducibility of ResultsRisk-TakingYoung AdultAddiction resistanceAlcoholismFamily historySubstance use disorders

Identifiers

PMID31539868
PMCPMC6878140
OpenAlexW2972531150

What OpenQuestion holds

Textmetadata
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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.