当前位置: X-MOL 学术Drugs: Education, Prevention and Policy › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Personal and environmental social capital predictors of relapse following departure from recovery homes
Drugs: Education, Prevention and Policy ( IF 2.007 ) Pub Date : 2021-02-28 , DOI: 10.1080/09687637.2020.1856787
Leonard A Jason 1 , Mayra Guerrero 1 , Meghan Salomon-Amend 1 , John M Light 2 , Mike Stoolmiller 2
Affiliation  

Abstract

Substance use recovery homes represent the largest residential, community-based post-treatment option for those with substance use disorders in the United States. It is still unclear what unique factors predict relapse after residents leave such homes. This study presents results of a longitudinal study of 497 residents who departed from 42 Oxford House recovery houses. We hypothesized that the predictors of post-departure relapse would be a multi-item measure of latent recovery, length of stay, and reason for departure from the home (voluntary vs. involuntary). Predictor effects were estimated as part of a two-step model with two outcomes: (a) lack of follow-up data after departure from the house, and (b) the likelihood of relapse. Determinants of missing follow-up data included less education, less time in residence, and involuntary departure. Relapse was more likely for individuals who were younger, had involuntarily left the house, and had lower values on the latent recovery factor. The implications of these important factors related to relapse following departure from residential recovery home settings are discussed.



中文翻译:

离开康复院后复发的个人和环境社会资本预测因素

摘要

物质使用康复之家是美国物质使用障碍患者最大的住宅、社区后治疗选择。目前尚不清楚居民离开此类房屋后有哪些独特因素可以预测复发。本研究展示了对 497 名离开牛津之家康复院的 497 名居民的纵向研究结果。我们假设离境后复发的预测因素是潜在恢复、逗留时间和离家原因(自愿与非自愿)的多项目测量。作为具有两个结果的两步模型的一部分估计预测效应:(a)离开家后缺乏后续数据,以及(b)复发的可能性。缺少后续数据的决定因素包括教育程度较低、居住时间较短和非自愿离开。更年轻、非自愿离开家、潜在恢复因子值较低的人更容易复发。讨论了这些与离开住宅康复之家环境后复发相关的重要因素的影响。

更新日期:2021-02-28
down
wechat
bug