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Disentangling multiproblem behavior in male young adults: A cluster analysis

Published online by Cambridge University Press:  21 January 2020

Josjan Zijlmans*
Affiliation:
Department of Child and Adolescent Psychiatry, Amsterdam University Medical Centers, Amsterdam, the Netherlands
Laura van Duin
Affiliation:
Department of Child and Adolescent Psychiatry, Amsterdam University Medical Centers, Amsterdam, the Netherlands
Maaike Jorink
Affiliation:
Department of Psychology, Leiden University, Leiden, the Netherlands
Reshmi Marhe
Affiliation:
Department of Child and Adolescent Psychiatry, Amsterdam University Medical Centers, Amsterdam, the Netherlands
Marie-Jolette A. Luijks
Affiliation:
Department of Child and Adolescent Psychiatry, Amsterdam University Medical Centers, Amsterdam, the Netherlands
Matty Crone
Affiliation:
Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
Arne Popma
Affiliation:
Department of Child and Adolescent Psychiatry, Amsterdam University Medical Centers, Amsterdam, the Netherlands Department of Criminal Law and Criminology, Leiden University, Leiden, the Netherlands
Floor Bevaart
Affiliation:
Department of Child and Adolescent Psychiatry, Amsterdam University Medical Centers, Amsterdam, the Netherlands
*
Author for correspondence: Josjan Zijlmans, Department of Child and Adolescent Psychiatry, Amsterdam University Medical Centers, Meibergdreef 5, Amsterdam, Netherlands1105AZ; E-mail: j.zijlmans@amsterdamumc.nl.

Abstract

Multiproblem young adults present with major problems across key life domains, but empirical studies investigating the nature of multiproblem behavior in accordance to ecobiodevelopmental theory are scarce. To address this gap, we performed a cluster analysis on indicators spanning the key life domains addiction, mental health, social network, and justice. In a large sample (N = 680) of multiproblem young adults, we identified five subgroups labeled “severe with alcohol and cannabis problems” (4.3%), “severe with cannabis problems” (25.6%), “severe without alcohol or drug problems” (33.2%), “moderate with mental health problems” (22.9%), and “moderate without mental health problems” (14.0%). There were large differences between the severe and moderate groups in terms of childhood risk factors such as emotional and physical abuse, concerning baseline functioning such as comorbid disorders and aggressive behavior, and in the outcome measure of violent offending. Our findings indicate that multiproblem young adult behavior clusters within profiles that differ according to the severity and nature of problems. Investing in screening for clustered problems may be beneficial for early problem differentiation and selection of appropriate intervention before and during treatment programs.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2020

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