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. 2021 Feb 26;15(1):13.
doi: 10.1186/s13034-021-00364-8.

Do risk profiles moderate the relation between age of onset of disruptive behaviour and two types of externalising problems among adolescents admitted to secure residential care?

Miranda G W G Knoops  1 , Ilja L Bongers  1   2 , Elisabeth A W Janssen-de Ruijter  3   4 , Chijs van Nieuwenhuizen  1   2
Affiliations

Do risk profiles moderate the relation between age of onset of disruptive behaviour and two types of externalising problems among adolescents admitted to secure residential care?

Miranda G W G Knoops et al. Child Adolesc Psychiatry Ment Health. .

Abstract

Background: Adolescents with externalising problems in secure residential care differ in age of onset of disruptive behaviour and in cumulative risks in several domains. In order to reduce negative consequences of externalising behaviour for society and the adolescents themselves, it is important to gain more insight into the complexity and heterogeneity of disruptive behaviour in these adolescents. To look beyond the influence of single risk factors, the aim of this study is to investigate the moderator effect of co-occurring risk factors in multiple domains on the relation between age of onset of disruptive behaviour and two types of externalising problems in adolescence.

Methods: Retrospectively collected data of 225 adolescents admitted to secure residential care were analysed. The four risk profiles were based on co-occurring pre-admission risk factors in four domains, which were identified in a previous study by latent class analysis. Multiple regression models were used to test whether the independent variable age of onset and dummy-coded moderator variable risk profiles had statistically significant associations with aggressive behaviour and rule-breaking behaviour of the adolescents, as reported by professional caregivers in the first months of admission.

Results: Risk profiles moderated the relation between age of onset of disruptive behaviour and rule-breaking behaviour. Adolescents with childhood-onset disruptive behaviour within the risk profile with mainly family risks showed more rule-breaking behaviour in the first months of their admission to secure residential care than adolescents with an onset in adolescence within the same risk profile. Risk profiles, however, did not moderate the relation between age of onset of disruptive behaviour and aggressive behaviour.

Conclusion: Heterogeneity of aggressive and rule-breaking behaviour was established in this study by finding differences on these two types of externalising behaviour between the childhood- and adolescence-onset groups and between the four risk profiles. Furthermore, risk profiles moderated the effect between age of onset of disruptive behaviour and rule-breaking behaviour-not aggressive behaviour-in adolescents admitted to secure residential care. While respecting the limitations, adolescents' childhood-onset disruptive behaviour within a profile with mainly family risk factors appear to be distinctive from adolescents with adolescence-onset disruptive behaviour within the same risk profile.

Keywords: Adolescents; Age of onset; Forensic psychiatry; Risk profiles; Secure residential care.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

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The moderating effect of risk profiles
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References

    1. Loeber R, Farrington DP. Young children who commit crime: epidemiology, developmental origins, risk factors, early interventions, and policy implications. Dev Psychopathol. 2000;12:737–762. doi: 10.1017/S0954579400004107. - DOI - PubMed
    1. Burt SA. How do we optimally conceptualize the heterogeneity within antisocial behavior? An argument for aggressive versus non-aggressive behavioral dimensions. Clin Psychol Rev. 2012;32(4):263–279. doi: 10.1016/j.cpr.2012.02.006. - DOI - PubMed
    1. Bosick SJ, Bersani BE, Farrington DP. Relating clusters of adolescent problems to adult criminal trajectories: a person-centered, prospective approach. J Dev Life-Course Crim. 2015;1(2):169–188. doi: 10.1007/s40865-015-0009-y. - DOI
    1. Hay DF, Payne A, Chadwick A. Peer relations in childhood. J Child Psychol Psychiatry. 2004;45(1):84–108. doi: 10.1046/j.0021-9630.2003.00308.x. - DOI - PubMed
    1. Moffitt TE. Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. Psychol Rev. 1993;100:674–701. doi: 10.1037/0033-295X.100.4.674. - DOI - PubMed

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