Jason Leonard A, Lynch Gabrielle, Bobak Ted, Light John M, Doogan Nathan J
DePaul University.
Oregon Research Institute.
J Hum Behav Soc Environ. 2022;32(5):663-678. doi: 10.1080/10911359.2021.1947930. Epub 2021 Jul 12.
Recovery homes in the US provide stable housing for over 200,000 individuals with past histories of homelessness, psychiatric co-morbidity and criminal justice involvement. We need to know more about how these settings help those remain in recovery. Our study measured advice seeking and willingness-to-loan relationships and operationalized them as a dynamic multiplex social network-multiple, simultaneous interdependent relationships--that exist within 42 Oxford House recovery homes over time. By pooling relationship dynamics across recovery houses, a Stochastic Actor-Oriented Modeling (SAOM) framework (Snijders et al., 2010) was used to estimate a set of parameters governing the evolution of the network and the recovery attributes of the nodes simultaneously. Findings indicated that advice and loan relationships and recovery-related attitudes were endogenously interdependent, and these results were affected exogenously by gender, ethnicity, and reason for leaving the recovery houses. Prior findings had indicated that higher advice seeking in recovery houses was related to higher levels of stress with more negative outcomes. However, the current study found that recovery is enhanced over time if advice was sought from residents with higher recovery scores. Our study shows that social embedding, i.e. one's position in relationship networks, affects recovery prospects. More specifically, the formation of ties with relatively more recovered residents as an important predictor of better outcomes.
美国的康复之家为20多万有过无家可归、精神疾病共病和涉及刑事司法经历的人提供稳定住房。我们需要更多地了解这些环境如何帮助人们保持康复状态。我们的研究测量了寻求建议和借贷意愿的关系，并将其作为一个动态多重社会网络（多个同时存在的相互依存关系）进行运作，这种关系随着时间推移存在于42个牛津之家康复之家内部。通过汇总各康复之家的关系动态，我们使用了一个面向随机行动者的建模（SAOM）框架（斯尼德斯等人，2010年）来同时估计一组控制网络演化和节点康复属性的参数。研究结果表明，建议和借贷关系以及与康复相关的态度是内生相互依存的，并且这些结果受到性别、种族和离开康复之家原因的外部影响。先前的研究结果表明，在康复之家中寻求更多建议与更高水平的压力以及更多负面结果相关。然而，当前的研究发现，如果向康复得分较高的居民寻求建议，随着时间推移康复情况会得到改善。我们的研究表明，社会嵌入，即一个人在关系网络中的位置，会影响康复前景。更具体地说，与康复程度相对较高的居民建立联系是取得更好结果的一个重要预测因素。
