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与治疗开始及5年结局相关的犯罪模式和药物使用轨迹:增长混合模型在三个数据集上的应用

Patterns of Crime and Drug Use Trajectories in Relation to Treatment Initiation and 5-Year Outcomes: An Application of Growth Mixture Modeling Across Three Datasets.

作者信息

Prendergast Michael, Huang David, Hser Yih-Ing

机构信息

Integrated Substance Abuse Programs, University of California, Los Angeles.

出版信息

Eval Rev. 2008 Feb;32(1):59-82. doi: 10.1177/0193841X07308082.

Abstract

Drug abusers vary considerably in their drug use and criminal behavior over time, and these trajectories are likely to influence drug treatment participation and treatment outcomes. Drawing on longitudinal natural history data from three samples of adult male drug users, we identify four groups with distinctive drug use and crime trajectories over the 5 years prior to their first treatment episode. The groups' characteristics of initial treatment are compared. The trajectory groups are then included in Poisson growth curve models to predict drug use, incarceration, and employment over the 5 years following first treatment. Findings indicate that posttreatment drug use decreased and posttreatment employment increased. There was little change in posttreatment incarceration. Posttreatment trajectories for drug use, incarceration, and employment were significantly different across the four trajectory groups.

摘要

随着时间的推移,药物滥用者在药物使用和犯罪行为方面差异很大,而这些轨迹可能会影响药物治疗的参与度和治疗效果。利用来自成年男性吸毒者三个样本的纵向自然史数据,我们识别出在首次治疗前5年中具有独特药物使用和犯罪轨迹的四组人群。比较了这些组的初始治疗特征。然后将轨迹组纳入泊松增长曲线模型,以预测首次治疗后5年的药物使用、监禁和就业情况。研究结果表明,治疗后的药物使用减少,治疗后的就业增加。治疗后的监禁情况变化不大。四个轨迹组在治疗后的药物使用、监禁和就业轨迹上存在显著差异。

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