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青少年罪犯阿片类药物使用的发展轨迹:群体特征和犯罪学风险因素的流行病学考察。

Developmental Trajectories of Opioid Use Among Juvenile Offenders: An Epidemiological Examination of Group Characteristics and Criminological Risk Factors.

机构信息

a Department of Sociology and Criminology & Law and Society , University of Florida , Gainesville , FL , USA.

出版信息

Subst Use Misuse. 2019;54(7):1203-1213. doi: 10.1080/10826084.2019.1573837. Epub 2019 Feb 15.

Abstract

AIMS

Investigate patterns of change and continuity in opioid use among juvenile offenders during adolescence and early adulthood. Identify demographic characteristics of trajectory groups of opioid users. Examine the relevance of risk factors for predicting assignment to opioid use trajectory groups.

METHODS

The Pathways to Desistance sample, consisting of longitudinal data of 1,134 juvenile offenders, was utilized in analyses. Using group-based trajectory modeling, patterns of opioid use were identified. χ tests provide information about the significant differences in gender, race, and socioeconomic status composition among the subgroups. Multinomial logistic regression were estimated to identify the relevance of risk factors for predicting assignment to subgroups.

RESULTS

A four-group model best fit the opioid use data (Abstaining, Low Accelerating, High Accelerating, Desisting). Race significantly delineated group membership at the bivariate level. Risk factor analysis indicated that lower self-control assessed at baseline predicted elevated risk of assignment to the Low Accelerating and High Accelerating groups. Higher frequency of marijuana use at baseline and a lifetime history of having experienced victimization was associated with assignment to the Desisting group.

CONCLUSIONS

Chronic opioid use exists at elevated prevalence among juvenile offenders. Adolescents in the criminal justice system with low self-control should be targeted for intervention.

摘要

目的

研究青少年和成年早期少年犯阿片类药物使用的变化和连续性模式。确定阿片类药物使用者轨迹组的人口统计学特征。探讨风险因素对预测阿片类药物使用轨迹组分配的相关性。

方法

使用路径中断样本,该样本由 1134 名少年犯的纵向数据组成,对阿片类药物使用情况进行了分析。采用基于群组的轨迹建模方法,确定了阿片类药物使用的模式。卡方检验提供了性别、种族和社会经济地位组成在亚组之间的显著差异的信息。使用多项逻辑回归来确定风险因素对预测分配到亚组的相关性。

结果

四组模型最适合阿片类药物使用数据(禁欲、低加速、高加速、停止)。种族在双变量水平上显著划分了群体成员身份。风险因素分析表明,基线时较低的自我控制评估预测了分配到低加速和高加速组的风险增加。基线时大麻使用频率较高和一生中曾遭受过伤害的经历与被分配到停止组有关。

结论

在少年犯中,慢性阿片类药物使用的流行率很高。应针对具有低自我控制的处于刑事司法系统中的青少年进行干预。

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