Evidence map›Paper›PMID 29400150›Full record

ArticleJournal of interpersonal violence2021

Does Educational Success Mitigate the Effect of Child Maltreatment on Later Offending Patterns?

Hyunzee Jung, Todd I Herrenkohl, Martie L Skinner, Ashley N Rousson

Open access · greenAbstract read
In one paragraph

Article in Journal of interpersonal violence, 2021. 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 24% 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, 8 citations in OpenAlex.

  1. Article
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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

4 authors at 3 institutions in 1 country.

Hyunzee JungUniversity of Washington, Seattle, USA.
Todd I HerrenkohlUniversity of Michigan, Ann Arbor, MI, USA.
Martie L SkinnerUniversity of Washington, Seattle, USA.
Ashley N RoussonUniversity of Washington, Seattle, USA.
University of Washington · USSeattle University · USUniversity of Michigan–Ann Arbor · US

Funding

Longitudinal Study of Exposure to Family ViolenceR01HD049767 · NICHD · UNIVERSITY OF WASHINGTON · PI HERRENKOHL, TODD I · 2007 to 2010
$1.5M
NICHD NIH HHS R01 HD049767
6 · The paper itself

Abstract

Analyses examined offending patterns during adolescence and adulthood and their relation to child maltreatment subtypes and education factors measured during adolescence and adulthood. A total of 356 participants were followed from preschool to adulthood in a prospective longitudinal study. Child maltreatment subtypes include physical-emotional abuse, sexual abuse, and neglect. Offending patterns were analyzed as latent classes of (a) chronic offending, (b) desistence, and (c) stable low-level or non-offending. Physical-emotional and sexual abuse were associated with a higher likelihood of chronic offending relative to stable low-level offending. Education variables, including high educational engagement and good academic performance, predicted a higher likelihood of low-level offending relative to desistence, but not desistence relative to chronic offending. Only educational attainment predicted desistence relative to chronic offending. There was no moderating effect of education variables on the association between child maltreatment subtypes and later offending patterns. Implications for research, practice, and policy are discussed.

Indexed as

Child AbuseSex OffensesAdolescentAdultChildChild, PreschoolHumansLongitudinal StudiesPhysical AbuseProspective Studiesadolescence-limited crimeantisocial behaviorchild abusecrime persistenceschool

Identifiers

PMID29400150
PMCPMC6070427
OpenAlexW2787279044

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.