The impact of parental offending on offspring aggression in early childhood: a population-based record linkage study
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To examine the impact of parental criminal offending, both paternal and maternal, on offspring aggression at age 5 years, while also considering key risk factors, including parental mental illness, child’s sex, and socioeconomic disadvantage.
The sample comprised 69,116 children, with linked parental information, from the New South Wales Child Development Study, a population-based multi-agency, multi-generational record linkage study that combines information from a teacher-reported cross-sectional survey of early childhood development at age 5 years (the 2009 Australian Early Development Census; AEDC) with data obtained via administrative records from multiple sources (e.g., health, crime, education, and welfare). Hierarchical logistic regression analyses were conducted to determine the effects of maternal and paternal criminal court appearances (frequency and type of offending), and mental health service contacts, on offspring aggression measured in the AEDC.
Having a parent with a history of offending was significantly associated with high levels of offspring aggression in early childhood. The strength of association was greatest when parents were involved in frequent (≥6 offences: adjusted odds ratio [aOR] range = 1.55–1.73) and violent (aOR range = 1.49–1.63) offending. Both maternal and paternal offending remained significant predictors of offspring aggression after accounting for parental mental illness, and associations were similar in magnitude for maternal and paternal offending histories.
Parental history of severe criminal offending increased the risk of high levels of aggression in offspring during early childhood, highlighting the need for intervention with families during this key developmental period.
KeywordsIntergenerational transmission Externalising behaviour Parental mental illness Data linkage Epidemiology
This research was conducted by UNSW Australia with financial support from the Australian Institute of Criminology (Research Grant CRG 19/14–15); the Australian Research Council (Linkage Project LP110100150, with the New South Wales (NSW) Ministry of Health, NSW Department of Education, and the NSW Department of Family and Community Services representing the Linkage Project Partners); the National Health and Medical Research Council (NHMRC; Project Grant APP1058652); and Australian Rotary Health (Mental Health Research Grant RG104090). MJG was supported by an NHMRC R.D. Wright Biomedical Career Development Fellowship (APP1061875). This research was conducted using population data owned by the Department of Education, NSW Bureau of Crime Statistics and Research, and NSW Ministry of Health. However the information and views contained in this study do not necessarily, or at all, reflect the views or information held by these Departments. We would like to acknowledge Alessandra Raudino and Enwu Liu for assistance with the preparation of linked data.
Compliance with ethical standards
Ethical approval was obtained from the NSW Population and Health Services Research Ethics Committee (HREC/11/CIPHS/14), with data custodian approvals granted by the relevant Government Departments, and has, therefore, been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments that are incorporated into the Australian National Health and Medical Research Council’s National Statement on Ethical Conduct in Human Research.
Conflict of interest
The authors declare that they have no conflict of interest.
- 18.Tremblay RE (2015) Antisocial behavior before the age-crime curve: can developmental criminology continue to ignore developmental origins? In: Morizot J, Kazemian L (eds) The development of criminal and antisocial behavior. Springer, Switzerland, pp 39–49Google Scholar
- 29.NICHD Early Child Care Research Network (2004) Trajectories of physical aggression from toddlerhood to middle childhood: predictors, correlates, and outcomes. Monogr Soc Res Child Dev 69(4):vii, 1Google Scholar
- 37.Andrich D, Styles I (2004) Final report on the psychometric analysis of the Early Development Instrument (EDI) using the Rasch Model: a technical paper commissioned for the development of the Australian Early Development Instrument (AEDI)Google Scholar
- 39.Brinkman SA, Gregory T, Harris J, Hart B, Blackmore S, Janus M (2013) Associations between the early development instrument at age 5, and reading and numeracy skills at ages 8, 10 and 12: a prospective linked data study. Child Indic Res 6(4):695–708. doi: 10.1007/s12187-013-9189-3 CrossRefGoogle Scholar
- 41.Carr VJ, Harris F, Raudino A, Luo L, Kariuki M, Liu E, Tzoumakis S, Smith M, Holbrook A, Bore M, Brinkman S, Lenroot R, Dix K, Dean K, Laurens KR, Green MJ (2016) New South Wales Child Development Study (NSW-CDS): an Australian multiagency, multigenerational, longitudinal record linkage study. BMJ Open 6 (2):e009023. doi: 10.1136/bmjopen-2015-009023 CrossRefPubMedPubMedCentralGoogle Scholar
- 42.DeLisi M (2005) Career criminals in society. Sage, Thousand Oaks, CAGoogle Scholar
- 43.Australian Government (2011) Census of population and housing: socio-economic indexes for 481 areas (SEIFA)Google Scholar
- 44.IBM (2015) IBM SPSS Statistics for Windows, Version 22.0. IBM Corp., Armonk, NYGoogle Scholar
- 47.Bornovalova MA, Cummings JR, Hunt E, Blazei R, Malone S, Iacono WG (2014) Understanding the relative contributions of direct environmental effects and passive genotype-environment correlations in the association between familial risk factors and child disruptive behavior disorders. Psychol Med 44(4):831–844CrossRefPubMedGoogle Scholar
- 53.Australian Bureau of Statistics (2015) Release 4442.0—family characteristics and transitions, Australia, 2012–13 (Data cube: households, families and persons, selected characteristics by state). Australian Bureau of Statistics. Accessed 30 June 2016Google Scholar
- 55.Magnusson D, Bergman LR (1990) Data quality in longitudinal research. Cambridge University Press, CambridgeGoogle Scholar