Evidence map›Paper›PMID 28806639›Full record

ArticleDrug and alcohol dependence2017

A developmental etiological model for drug abuse in men.

Kenneth S Kendler, Henrik Ohlsson, Alexis C Edwards, Jan Sundquist, Kristina Sundquist

Open access · greenAbstract read
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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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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 2 countries.

Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA; Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA. Electronic address: kenneth.kendler@vcuhealth.org.
Henrik OhlssonCenter for Primary Health Care Research, Lund University, Malmö, Sweden. Electronic address: Henrik.ohlsson@med.lu.se.
Alexis C EdwardsVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA. Electronic address: alexis.edwards@vcuhealth.org.
Jan SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden. Electronic address: jan.sundquist@med.lu.se.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden. Electronic address: Kristina.sundquist@med.lu.se.
Lund University · SEVirginia Commonwealth University · US

Funding

Genetic, Social, and Developmental Epidemiology of Drug Use DisordersR01DA030005 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENNETH SEEDMAN KENDLER, JAN O SUNDQUIST · 2010 to 2026
$7.6M
Genetic influences on developmental heterogeneity of alcohol use disorderK01AA021399 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EDWARDS, ALEXIS C · 2012 to 2016
$707k
NIAAA NIH HHS K01 AA021399NIDA NIH HHS R01 DA030005
6 · The paper itself

Abstract

backgroundWe attempt to develop a relatively comprehensive structural model of risk factors for drug abuse (DA) in Swedish men that illustrates developmental and mediational processes.

methodsWe examined 20 risk factors for DA in 48,369 men undergoing conscription examinations in 1969-70 followed until 2011 when 2.34% (n=1134) of them had DA ascertained in medical, criminal and pharmacy registries. Risk factors were organized into four developmental tiers reflecting i) birth, ii) childhood/early adolescence, iii) late adolescence, and iv) young adulthood. Structural equational model fitting was performed using Mplus.

resultsThe best fitting model explained 47.8% of the variance in DA. The most prominent predictors, in order, were: early adolescent externalizing behavior, early adult criminal behavior, early adolescent internalizing behavior, early adult unemployment, early adult alcohol use disorder, and late adolescent drug use. Two major inter-connecting pathways emerged reflecting i) genetic/familial risk and ii) family dysfunction and psychosocial adversity. Generated on a first and tested on a second random half of the sample, a model from these variables predicted DA with an ROC area under the curve of 83.6%. Fifty-nine percent of DA cases arose from subjects in the top decile of risk.

conclusionsDA in men is a highly multifactorial syndrome with risk arising from familial-genetic, psychosocial, behavioral and psychological factors acting and interacting over development. Among the multiple predisposing factors for DA, a range of psychosocial adversities, externalizing psychopathology and lack of social constraints in early adulthood are predominant.

Indexed as

AdolescentAdolescent BehaviorHumansMaleRegistriesRisk FactorsSubstance-Related DisordersSwedenDevelopmentDrug abuseEnvironmentExternalizing pathwayPersonalityStructural equation model

Identifiers

PMID28806639
PMCPMC5623952
OpenAlexW2741559411

What OpenQuestion holds

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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.