Evidence map›Paper›PMID 26040779›Full record

ArticlePsychological medicine2015

Neighborhood as a predictor of non-aggressive, but not aggressive, antisocial behaviors in adulthood.

S A Burt, K L Klump, D A Kashy, D Gorman-Smith, J M Neiderhiser

Abstract read
In one paragraph

Article in Psychological medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. The Decomposition of Shared Environmental Influences on Externalizing Syndromes in the Swedish Population: A Multivariate Study.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2017
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

S A BurtDepartment of Psychology,Michigan State University,East Lansing,MI,USA.
K L KlumpDepartment of Psychology,Michigan State University,East Lansing,MI,USA.
D A KashyDepartment of Psychology,Michigan State University,East Lansing,MI,USA.
D Gorman-SmithSchool of Social Service Administration,University of Chicago,Chicago,IL,USA.
J M NeiderhiserDepartment of Psychology,The Pennsylvania State University,University Park,PA,USA.

Funding

Integrating contextual, proximal, and individual risks for child conduct problemsR01HD066040 · NICHD · MICHIGAN STATE UNIVERSITY · PI BURT, S. ALEXANDRA · 2010 to 2014
$2.9M
NICHD NIH HHS R01 HD066040NICHD NIH HHS R01-HD066040
6 · The paper itself

Abstract

backgroundPrior meta-analytic work has highlighted important etiological distinctions between aggressive (AGG) and non-aggressive rule-breaking (RB) dimensions of antisocial behavior. Among these is the finding that RB is influenced by the environment more than is AGG. Relatively little research, however, has sought to identify the specific environmental experiences that contribute to this effect. The current study sought to do just this.

methodWe examined whether unrelated adults residing in the same neighborhood (n = 1915 participants in 501 neighborhoods) were more similar in their AGG and RB than would be expected by chance. Analyses focused on simple multi-level models, with the participant as the lower-level unit and the neighborhood as the upper-level unit.

resultsResults revealed little to no evidence of neighborhood-level variance in AGG. By contrast, 11+% of the variance in RB could be predicted from participant neighborhood, results that persisted even when considering the possibility of genetic relatedness across participants and neighborhood selection effects. Moreover, 17% of this neighborhood-level variance in RB was accounted for by neighborhood structural characteristics and social processes.

conclusionsFindings bolster prior suggestions that broader contextual experiences, like the structural and social characteristics of one's neighborhood, contribute in a meaningful way to RB in particular. Our results also tentatively imply that this association may be environmental in origin. Future work should seek to develop additional, stronger designs capable of more clearly leveraging genetic un-relatedness to improve causal inferences regarding the environment.

Indexed as

AdolescentAdultAgedAged, 80 and overAggressionAntisocial Personality DisorderFemaleHumansMaleMichiganMiddle AgedPsychiatric Status Rating ScalesResidence CharacteristicsSocial EnvironmentSurveys and QuestionnairesYoung AdultAggressionantisocial behaviorenvironmentneighborhoodrule-breaking

Identifiers

PMID26040779
PMCPMC4565769

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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.