Evidence map›Paper›PMID 26514393›Full record

ArticleJournal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53

Dimensionality and Genetic Correlates of Problem Behavior in Low-Income African American Adolescents.

Shawn J Latendresse, David B Henry, Steven H Aggen, Gayle R Byck, Alan W Ashbeck, John M Bolland, Cuie Sun, Brien P Riley, Brian Mustanski, Danielle M Dick

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Genetic influences on adolescent behavior.Neuroscience and biobehavioral reviews · 2016
    Review
  4. Article
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

10 authors at 4 institutions in 1 country.

Shawn J Latendressea Department of Psychology and Neuroscience , Baylor University.
David B Henryb School of Public Health , University of Illinois at Chicago.
Steven H Aggenc Department of Psychiatry , Virginia Commonwealth University.
Gayle R Byckd Department of Medical Social Sciences , Northwestern University.
Alan W Ashbeckd Department of Medical Social Sciences , Northwestern University.
John M Bollande College of Human Environmental Sciences , University of Alabama at Tuscaloosa.
Cuie Sunc Department of Psychiatry , Virginia Commonwealth University.
Brien P Rileyc Department of Psychiatry , Virginia Commonwealth University.
Brian Mustanskid Department of Medical Social Sciences , Northwestern University.
Danielle M Dickc Department of Psychiatry , Virginia Commonwealth University.
Virginia Commonwealth University · USBaylor University · USUniversity of Alabama · USUniversity of Illinois Chicago · US

Funding

Gene-Environment Interaction Effects on HIV RiskR01DA025039 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MUSTANSKI, BRIAN · 2008 to 2012
$2.6M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
Phenotypic refinement of externalizing pathways to alcohol-related behaviorsK01AA020333 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI LATENDRESSE, SHAWN J. · 2011 to 2015
$812k
NIAAA NIH HHS K01 AA020333NIAAA NIH HHS K02 AA018755NIDA NIH HHS R01 DA025039
6 · The paper itself

Abstract

Researchers have long observed that problem behaviors tend to cluster together, particularly among adolescents. Epidemiological studies have suggested that this covariation is due, in part, to common genetic influences, and a number of plausible candidates have emerged as targets for investigation. To date, however, genetic association studies of these behaviors have focused mostly on unidimensional models of individual phenotypes within European American samples. Herein, we compared a series of confirmatory factor models to best characterize the structure of problem behavior (alcohol and marijuana use, sexual behavior, and disruptive behavior) within a representative community-based sample of 592 low-income African American adolescents (50.3% female), ages 13 to 18. We further explored the extent to which 3 genes previously implicated for their role in similar behavioral dimensions (CHRM2, GABRA2, and OPRM1) independently accounted for variance within factors specified in the best-fitting model. Supplementary analyses were conducted to derive comparative estimates for the predictive utility of these genes in more traditional unidimensional models. Findings provide initial evidence for a bifactor structure of problem behavior among African American adolescents and highlight novel genetic correlates of specific behavioral dimensions otherwise undetected in an orthogonal syndromal factor. Implications of this approach include increased precision in the assessment of problem behavior, with corresponding increases in the reliability and validity of identified genetic associations. As a corollary, the comparison of primary and supplementary association analyses illustrates the potential for overlooking and/or overinterpreting meaningful genetic effects when failing to adequately account for phenotypic complexity.

Indexed as

AdolescentAdolescent BehaviorBlack or African AmericanFemaleHumansMalePovertyProblem BehaviorReproducibility of ResultsUnited States

Identifiers

PMID26514393
PMCPMC4851603
OpenAlexW2175684554

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.