Differences in polysubstance use among youth in the child welfare system: toward a better understanding of the highest-risk teens.

Differences in polysubstance use among youth in the child welfare system: toward a better understanding of the highest-risk teens.
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儿童福利系统中青少年使用多种物质的差异:更好地了解高危青少年。

DOI:
10.1016/j.chiabu.2015.11.020
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发表时间:
2016
影响因子:
4.8
通讯作者:
Schrager,ShereeM
Schrager,ShereeM
中科院分区:
心理学2区
文献类型:
--
作者:
Traube,DorianE;Yarnell,LisaM;Schrager,ShereeM

文献摘要

被引文献

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目前的研究扩展了有限的工作,在儿童福利系统(CWS)中的青少年使用多种物质,通过解决他们的潜在更大的风险,从事多种物质的使用,使用中的人际变化的原因,随着时间的推移,特别是在后来的点参与CWS。使用纵向数据从全国调查的儿童和青少年的福祉(n= 1,178),一系列的时间不变和随时间变化的人口和背景因素进行了探讨,以评估他们的作用,整体和独特的点参与CWS。一系列的无条件和有条件的因素曲线模型进行了估计,结果表明,时间不变的种族和性别的特点是不相关的多物质的使用。年龄和安置的时变特征与多种物质的使用有关,并突出了年龄作为一个风险因素的动态性质。家庭外安置可以保护那些被从据报暴力程度较高的原看护人身边带走的青年,防止他们后来使用药物。我们的研究结果表明,在儿童福利人群中,多种物质的建模,而不是孤立的单一物质是更翔实的,因为它产生的信息,往往会发生和发展在一起的行为的汇合。
The current study extended limited prior work on polysubstance use among youth in the child welfare system (CWS) by addressing their potentially greater risk of engaging in polysubstance use, the causes of interpersonal variation in use, and changes in use over time, particularly at later points of involvement in the CWS. Using longitudinal data from the National Survey of Child and Adolescent Well-Being (n= 1,178), a series of time-invariant and time-varying demographic and contextual factors were explored to assess their role both overall and at unique points of involvement in the CWS. A series of unconditional and conditional curve-of-factor models were estimated and results indicated that time-invariant characteristics of ethnicity and gender were not related to polysubstance use. Time-variant characteristics of age and placement were associated with polysubstance use and highlighted the dynamic nature of age as a risk factor. Out-of-home placement was protective against later substance use for youth who had been removed from contexts with their original caretaker where there were higher levels of reported violence. Our results suggest that in the child welfare population, the modeling of multiple substances rather than a single substance in isolation is more informative because it yields information on the confluence of behaviors that tend to occur and evolve together.