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<p>This study aims to explain heterogeneity in offending trajectories by examining its association with exposure to combinations of risk (or the lack thereof) across multiple life domains. Drawing on survey data and administrative crime records from the <i>Dutch Childhood Arrestees Study</i>, we examined the relationship between distinct risk profiles and offending trajectories in a sample of 348 children with a first police contact before age 12 (87% male, <i>M</i><sub><i>age</i></sub> a first contact = 10.63, <i>SD</i> = 1.48), who were followed from age 12 to 20. Alongside an a priori defined group of non-recidivists (55%), the trajectory analysis yielded four distinct offending patterns: low-rate desisting (14%), low-rate persisting (18%), high-rate desisting (5%), and high-rate persisting (8%). Using latent profile analysis, we constructed three distinct risk profiles based on individual, familial, peer, school, and neighborhood characteristics: low-problem (31%), cognitive- and neighborhood-problem (48%), and multi-problem (21%) profiles. Multinomial regression analyses showed that children with a low-problem profile were the least likely to persist in offending throughout the follow-up period. In comparison to low-problem children, those with a multi-problem profile were more likely to follow the low-rate persistent trajectory, whereas children exposed to cognitive and neighborhood problems were more likely to follow the high-rate persistent trajectory. The findings underscore the value of accounting for risk exposure across multiple life domains to explain variations in longitudinal offending patterns.</p>

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Using Risk Profiles To Differentiate Between Offending Trajectories in Childhood Arrestees

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月8日

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  • Babette C. M. van Hazebroek,
  • Lieke van Domburgh,
  • Jan W. de Keijser,
  • Arne Popma,
  • Hilde T. Wermink

摘要

This study aims to explain heterogeneity in offending trajectories by examining its association with exposure to combinations of risk (or the lack thereof) across multiple life domains. Drawing on survey data and administrative crime records from the Dutch Childhood Arrestees Study, we examined the relationship between distinct risk profiles and offending trajectories in a sample of 348 children with a first police contact before age 12 (87% male, Mage a first contact = 10.63, SD = 1.48), who were followed from age 12 to 20. Alongside an a priori defined group of non-recidivists (55%), the trajectory analysis yielded four distinct offending patterns: low-rate desisting (14%), low-rate persisting (18%), high-rate desisting (5%), and high-rate persisting (8%). Using latent profile analysis, we constructed three distinct risk profiles based on individual, familial, peer, school, and neighborhood characteristics: low-problem (31%), cognitive- and neighborhood-problem (48%), and multi-problem (21%) profiles. Multinomial regression analyses showed that children with a low-problem profile were the least likely to persist in offending throughout the follow-up period. In comparison to low-problem children, those with a multi-problem profile were more likely to follow the low-rate persistent trajectory, whereas children exposed to cognitive and neighborhood problems were more likely to follow the high-rate persistent trajectory. The findings underscore the value of accounting for risk exposure across multiple life domains to explain variations in longitudinal offending patterns.