Evidence map›Paper›PMID 32488935›Full record

ArticleCriminal behaviour and mental health : CBMH2020

Identifying and predicting criminal career profiles from adolescence to age 39.

Bo-Kyung Elizabeth Kim, Amanda B Gilman, Kevin P Tan, Rick Kosterman, Jennifer A Bailey, Richard F Catalano, J David Hawkins

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Criminal behaviour and mental health : CBMH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Bo-Kyung Elizabeth KimUSC Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-8851-5073
Amanda B GilmanWashington State Center for Court Research Administrative Office of the Courts, Olympia, Washington, USA.
Kevin P TanSchool of Social Work, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Rick KostermanSocial Development Research Group, School of Social Work, University of Washington, Seattle, Washington, USA.
Jennifer A BaileySocial Development Research Group, School of Social Work, University of Washington, Seattle, Washington, USA.
Richard F CatalanoSocial Development Research Group, School of Social Work, University of Washington, Seattle, Washington, USA.
J David HawkinsSocial Development Research Group, School of Social Work, University of Washington, Seattle, Washington, USA.

Funding

Gene-Environment Interplay in the Development of Drug Abuse, HIV Sexual Risk BehaR01DA024411 · NIDA · UNIVERSITY OF WASHINGTON · PI HILL, KARL GORDON · 2009 to 2015
$7.7M
SUBSTANCE USE AND TRANSITIONS TO ADULT ROLESR01DA009679 · NIDA · UNIVERSITY OF WASHINGTON · PI HAWKINS, J DAVID · 1996 to 2008
$6.1M
UCLA Implementation Science and Substance Use Research and Education (ISSURE) ProgramR25DA035692 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TIMOTHY W FONG, GAIL E. WYATT · 2013 to 2026
$3.9M
Mechanisms Linking Social and Built Environments to Health in the 30sR01DA033956 · NIDA · UNIVERSITY OF WASHINGTON · PI KOSTERMAN, RICHARD · 2013 to 2017
$2.9M
NIDA NIH HHS R01 DA009679NIDA NIH HHS R01 DA024411NIDA NIH HHS R01DA024411NIDA NIH HHS R01 DA033956NIDA NIH HHS R01DA033956NIDA NIH HHS R01DA09679NIDA NIH HHS R25 DA035692NIDA NIH HHS R25DA035692NIMH NIH HHS L30 MH120774
6 · The paper itself

Abstract

Few longitudinal studies are capable of identifying criminal career profiles using both self-report and official court data beyond the 30s. The current study aims to identify criminal career profiles across three developmental periods using self-report data, validate these profiles with official court records and determine early childhood predictors. Data came from the Seattle Social Development Project (n = 808). Latent Class Analysis was used to examine criminal careers from self-reported data during adolescence (aged 14-18), early adulthood (aged 21-27) and middle adulthood (aged 30-39). Official court records were used to validate the classes. Childhood risk and promotive factors measured at ages 11-12 were used to predict classes. Findings revealed four career classes: non-offending (35.6%), adolescence-limited (33.2%), adult desister (18.3%) and life-course/persistent (12.9%). Official court records are consistent with the description of the classes. Early life school and family environments as well as having antisocial beliefs and friends differentiate membership across the classes. The results of this study, with a gender-balanced and racially diverse sample, bolster the current criminal career knowledge by examining multiple developmental periods into the 30s using both self-report and official court data.

Indexed as

AdolescentAdultAntisocial Personality DisorderChildCrimeCriminalsFemaleHumansInterpersonal RelationsLatent Class AnalysisLongitudinal StudiesMaleSelf ReportSocial BehaviorYoung AdultCriminal careerearly risk factorslife-course-persistent offendingoffending profilespromotive factorsprotective factors

Identifiers

PMID32488935
PMCPMC7704554

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Registered trials

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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.