Evidence map›Paper›PMID 34639808›Full record

ArticleInternational journal of environmental research and public health2021

Criminal Behavior and Psychosocial Risk Factors in Brazilian Adolescent Offenders: An Exploratory Latent Class Analysis.

Lais Sette Galinari, Marina Rezende Bazon

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Lais Sette GalinariDepartment of Psychology, Faculty of Philosophy, Sciences and Letters at Ribeirao Preto, University of Sao Paulo, Ribeirao Preto 14040-900, Brazil.ORCID 0000-0001-9959-2314
Marina Rezende BazonDepartment of Psychology, Faculty of Philosophy, Sciences and Letters at Ribeirao Preto, University of Sao Paulo, Ribeirao Preto 14040-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering that adolescent offenders are quite a heterogeneous group in terms of behavioral and psychosocial variables, it is considered that a typological approach can assist in the systematization of these differences, aiming at a better understanding of the phenomenon and at clearer guidance in terms of interventions. Therefore, this study aimed to identify the behavioral and psychosocial profiles of male adolescent offenders, based on empirical data collected in a Brazilian sociocultural context. The profiles were made with a sample of 400 adolescent offenders to perform an exploratory latent classes analysis. The instruments used in data collection were the Youth Behavior Questionnaire (Questionário de Comportamentos Juvenis, QCJ) and the Brazilian Jesness Inventory-Revised (Inventário Jesness-Revisado-Brasileiro, IJ-R-Br). The most appropriate model was that of four classes, with the profiles found indicating differences between the adolescent offenders both in relation to psychological functioning and criminal pattern, as well as the psychosocial risk/protective factors associated with each of the profiles. These findings, in addition to contributing to understanding the phenomenon, may help to reflect on the assessments required to assist in judicial decision-making processes and the customized proposal of psychosocial interventions.

Indexed as

Adolescent BehaviorCriminalsJuvenile DelinquencyAdolescentCriminal BehaviorHumansLatent Class AnalysisMaleRisk Factorsjuvenile delinquencylatent class analysispsychosocial profilesyoung offenders

Identifiers

PMID34639808
PMCPMC8508325

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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.