Literature DB >> 25285642

Criminal offending among males and females between ages 15 and 30 in a population-based nationwide 1981 birth cohort: results from the FinnCrime Study.

Henrik Elonheimo1, David Gyllenberg2, Jukka Huttunen3, Terja Ristkari4, Lauri Sillanmäki5, André Sourander6.   

Abstract

We describe the epidemiology of crime between ages 15 and 30 in a population-based sample. We received police register data for 5405 males and females, representing the children born in Finland in 1981. We classified crimes into drug, violent, property, traffic, drunk driving, and sexual crimes, excluding minor traffic offenses. Of males, 60% and of females, 25% were registered for offending. For males, prevalence peaked in late adolescence, while for females, there was no peak age. Offending frequency remained stable for male offenders but was lower among adolescent female offenders. All crime types overlapped each other. Crime accumulated: 1% committed 34% of male and 56% of female offenses. In conclusion, the adolescent peak in offending reflects peaking prevalence among males, not females, nor frequency of offending among offenders. The crime problem is focused on two key groups: late adolescent males and the few males and females in whom crime concentrates.
Copyright © 2014 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Birth cohort; Crime; Epidemiology; Follow-up; Gender; Offending

Mesh:

Year:  2014        PMID: 25285642     DOI: 10.1016/j.adolescence.2014.09.005

Source DB:  PubMed          Journal:  J Adolesc        ISSN: 0140-1971


  4 in total

1.  Measuring Engagement in Antisocial Behavior During Late Adolescence and Early Adulthood for Typically Developing Youth.

Authors:  James M Ogilvie; Anna Stewart; David H K Shum
Journal:  Child Psychiatry Hum Dev       Date:  2021-04

2.  Constancy and Change in the Prevalence and Frequency of Offending When Based on Longitudinal Self-reports or Official Records: Comparisons by Gender, Race, and Crime Type.

Authors:  Rolf Loeber; David P Farrington; Alison E Hipwell; Stephanie D Stepp; Dustin Pardini; Lia Ahonen
Journal:  J Dev Life Course Criminol       Date:  2015-05-03

3.  Personality, Executive Control, and Neurobiological Characteristics Associated with Different Forms of Risky Driving.

Authors:  Thomas G Brown; Marie Claude Ouimet; Manal Eldeb; Jacques Tremblay; Evelyn Vingilis; Louise Nadeau; Jens Pruessner; Antoine Bechara
Journal:  PLoS One       Date:  2016-02-24       Impact factor: 3.240

4.  Homicide rates are spatially associated with built environment and socio-economic factors: a study in the neighbourhoods of Toronto, Canada.

Authors:  Alireza Mohammadi; Robert Bergquist; Ghasem Fathi; Elahe Pishgar; Silas Nogueira de Melo; Ayyoob Sharifi; Behzad Kiani
Journal:  BMC Public Health       Date:  2022-08-04       Impact factor: 4.135

  4 in total

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