Evidence map›Paper›PMID 28334662›Full record

ArticleDrug and alcohol dependence2017

The association between personality disorders with alcohol use and misuse: A population-based twin study.

E C Long, S H Aggen, M C Neale, G P Knudsen, R F Krueger, S C South, N Czajkowski, R Nesvåg, E Ystrom, F A Torvik and 3 more

Open access · greenAbstract readTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

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  12. Testing Genetic and Environmental Associations Between Personality Disorders and Cocaine Use: A Population-Based Twin Study.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2018
    Article
  13. Observational
  14. Article
  15. Borderline personality disorder and substance use disorders: an updated review.Borderline personality disorder and emotion dysregulation · 2018
    Review
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

13 authors at 3 institutions in 2 countries.

E C LongVirginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA. Electronic address: longe@vcu.edu.
S H AggenVirginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.
M C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA; Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.
G P KnudsenDepartment of Mental Disorders, Norwegian Institute of Public Health, Norway.
R F KruegerDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
S C SouthDepartment of Psychological Sciences, Purdue University, IN, USA.
N CzajkowskiDepartment of Mental Disorders, Norwegian Institute of Public Health, Norway; Department of Psychology, University of Oslo, Oslo, Norway.
R NesvågDepartment of Mental Disorders, Norwegian Institute of Public Health, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.
E YstromDepartment of Mental Disorders, Norwegian Institute of Public Health, Norway; Department of Psychology, University of Oslo, Oslo, Norway; School of Pharmacy, University of Oslo, Oslo, Norway.
F A TorvikDepartment of Mental Disorders, Norwegian Institute of Public Health, Norway; Department of Psychology, University of Oslo, Oslo, Norway.
K S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA; Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.
N A GillespieVirginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.
T Reichborn-KjennerudDepartment of Mental Disorders, Norwegian Institute of Public Health, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Norwegian Institute of Public Health · NOVirginia Commonwealth University · USUniversity of Minnesota · US

Funding

Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
Pathways from Normal and Disordered Personality to Substance Use DisordersR01DA037558 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI GILLESPIE, NATHAN ALEXANDER, KENDLER, KENNETH SEEDMAN · 2014 to 2017
$1.5M
NIDA NIH HHS R01 DA018673NIDA NIH HHS R01 DA037558
6 · The paper itself

Abstract

backgroundA clearer understanding of the etiological overlap between DSM-IV personality disorders (PDs) and alcohol use (AU) and alcohol use disorder (AUD) is needed. To our knowledge, no study has modeled the association between all 10 DSM-IV PDs and lifetime AU and AUD. The aim of the present study is to identify which PDs are most strongly associated with the phenotypic, genetic, and environmental risks of lifetime AU and AUD, and to determine if these associations are stable across time.

methodsParticipants were Norwegian twins assessed at two waves. At Wave 1, 2801 twins were assessed for all 10 DSM-IV PD criteria, lifetime AU, and DSM-IV AUD criteria. At Wave 2, six of the 10 PDs were again assessed along with AU and AUD among 2393 twins. Univariate and multiple logistic regressions were run. Significant predictors were further analyzed using bivariate twin Cholesky decompositions.

resultsBorderline and antisocial PD criteria were the strongest predictors of AU and AUD across the two waves. Despite moderate phenotypic and genetic correlations, genetic variation in these PD criteria explained only 4% and 3% of the risks in AU, and 5% to 10% of the risks in AUD criteria, respectively. At Wave 2, these estimates increased to 8% and 23% for AU, and 17% and 33% for AUD.

conclusionsAmong a large Norwegian twin sample, borderline and antisocial PD criteria were the strongest predictors of the phenotypic and genotypic liability to AU and AUD. This effect remained consistent across time.

Indexed as

TwinsAdultAlcohol DrinkingAlcohol-Related DisordersDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMaleNorwayPersonality DisordersSocial EnvironmentYoung AdultAlcohol useAlcohol use disorderPersonality disordersTwin research

Identifiers

PMID28334662
PMCPMC5497569
OpenAlexW2592160795

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.