犯罪轨迹的教育和社会护理预测因素:一项英国行政数据关联研究。

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES International Journal of Population Data Science Pub Date : 2022-08-25 DOI:10.23889/ijpds.v7i3.1928
Hannah Dickson, G. Vamvakas, N. Blackwood
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引用次数: 0

摘要

目的英格兰和威尔士每年的犯罪总成本估计为500亿英镑。年龄-犯罪曲线表明,犯罪行为在青春期达到峰值,在成年后下降。终身罪犯在童年早期就开始表现出反社会行为,并将这种行为持续到成年。相比之下,青少年限定犯在青春期表现出大部分反社会行为,少数人在成年后仍在继续犯罪。然而,有证据表明,这条曲线掩盖了不同的发展轨迹。前瞻性队列研究数据强调了这些违规轨迹的不同风险因素,但由于弱势群体的样本量小、选择偏差和数据收集频率低,这项研究受到限制。方法目前的研究始于2022年2月,是首批使用与英国相关的国家犯罪和教育记录的研究之一。其目的是:(1)利用国家犯罪记录,确定10至32岁个人在首次被定罪或被警告后的犯罪轨迹;以及(2)利用行政教育和社会护理数据开发这些犯罪轨迹的预测模型。结果在我的演讲中,我将分享关于已确定的犯罪轨迹的发现,并介绍一些关于犯罪轨迹的关键教育和社会护理驱动因素的早期结果。结论该项目的发现有可能使用基于英国人口的真实世界数据来识别以前未知的或鲜为人知的犯罪轨迹。它还可能导致发现以前未知的犯罪风险或保护因素,这对早期干预有影响,并有助于为刑事司法系统对早期反社会行为的反应提供信息。
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Education and social care predictors of offending trajectories: A UK administrative data linkage study.
ObjectivesTotal annual costs of crime in England and Wales is estimated at £50bn.The age-crime curve indicates that criminal behavioural peaks in adolescence and decreases in adulthood.  Life-course persistent offenders begin to behave antisocially early in childhood and continue this behaviour into adulthood. By contrast, adolescent-limited offenders exhibit most of their antisocial behaviour during adolescence, with a minority continuing to offend into adulthood. However, evidence suggests that this curve conceals distinct developmental trajectories. Prospective cohort study data has highlighted distinct risk factors for these offending trajectories, but this research is limited because of small sample sizes for disadvantaged groups, selection bias and infrequency of data collection. ApproachThe current study began in February 2022 and is one of the first to use UK linked national crime and education records. The aim is to: (1) establish the offending trajectories of individuals between the ages of 10 and 32 years following their first recorded conviction or caution using national crime records; and (2) develop prediction models of these offending trajectories using administrative education and social care data. ResultsIn my talk, I will share findings on the offending trajectories identified and present some early results on the key education and social care drivers of the offending trajectories. ConclusionsFindings from the project have the potential to identify previously unknown, or confirm lesser known, offending trajectories using real world data based on the UK population. It may also lead to the detection of previously unknown risk or protective factors for offending, which has implications for early intervention and could help inform criminal justice system responses to early antisocial behaviour.
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
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