Dombrowski Kirk, Sittner Kelley, Crawford Devan, Welch-Lazoritz Melissa, Habecker Patrick, Khan Bilal
Department of Sociology, University of Nebraska-Lincoln, Lincoln, USA.
Department of Sociology, Oklahoma State University, Stillwater, USA.
Health (Irvine Calif). 2016 Sep;8(12):1143-1165. doi: 10.4236/health.2016.812119. Epub 2016 Aug 26.
During the United States economic recession of 2008-2011, the number of homeless and unstably housed people in the United States increased considerably. Homeless adult women and unaccompanied homeless youth make up the most marginal segments of this population. Because homeless individuals are a hard to reach population, research into these marginal groups has traditionally been a challenge for researchers interested in substance abuse and mental health. Network analysis techniques and research strategies offer means for dealing with traditional challenges such as missing sampling frames, variation in definitions of homelessness and study inclusion criteria, and enumeration/population estimation procedures. This review focuses on the need for, and recent steps toward, solutions to these problems that involve network science strategies for data collection and analysis. Research from a range of fields is reviewed and organized according to a new stress process framework aimed at understanding how homeless status interacts with issues related to substance abuse and mental health. Three types of network innovation are discussed: network scale-up methods, a network ecology approach to social resources, and the integration of network variables into the proposed stress process model of homeless substance abuse and mental health. By employing network methods and integrating these methods into existing models, research on homeless and unstably housed women and unaccompanied young people can address existing research challenges and promote more effective intervention and care programs.
在2008 - 2011年美国经济衰退期间,美国无家可归和居住不稳定的人数大幅增加。无家可归的成年女性和无人陪伴的无家可归青少年构成了这一人群中最边缘化的部分。由于无家可归者是一个难以接触到的群体,对于关注药物滥用和心理健康的研究人员来说,对这些边缘群体进行研究传统上是一项挑战。网络分析技术和研究策略提供了应对传统挑战的方法,如缺失抽样框架、无家可归定义和研究纳入标准的差异以及枚举/人口估计程序。本综述重点关注解决这些问题的必要性以及近期采取的措施,这些措施涉及用于数据收集和分析的网络科学策略。根据一个旨在理解无家可归状态如何与药物滥用和心理健康相关问题相互作用的新压力过程框架,对一系列领域的研究进行了综述和整理。讨论了三种类型的网络创新:网络扩大方法、社会资源的网络生态方法以及将网络变量整合到所提出的无家可归者药物滥用和心理健康压力过程模型中。通过采用网络方法并将这些方法整合到现有模型中,对无家可归和居住不稳定的女性以及无人陪伴的年轻人的研究可以应对现有的研究挑战,并促进更有效的干预和护理项目。