Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jun;67(3-4):392-404.
doi: 10.1002/ajcp.12481. Epub 2020 Dec 9.

Context Matters: Home-level But Not Individual-Level Recovery Social Capital Predicts Residents' Relapse

Affiliations

Context Matters: Home-level But Not Individual-Level Recovery Social Capital Predicts Residents' Relapse

Leonard A Jason et al. Am J Community Psychol. 2021 Jun.

Abstract

The purpose of this study is to contribute to the literature on the prediction of substance use relapse, using sophisticated systems' approaches to individuals and their contexts. In the current study of 42 recovery homes, we investigated the construct of social capital from the perspective of both recovery home residents and the house level. A confirmatory factor analysis found a latent recovery factor (including elements of recovery capital, comprising resources such as wages, self-efficacy, stress, self-esteem, quality of life, hope, sense of community, and social support) at both the individual and the recovery house level. Next, using longitudinal data from homes, an individual's probability of relapse was found to be related to house rather than individual-level latent recovery scores. In other words, an individual's probability of relapse was primarily related to the average of the "recoveries" of his or her recovery home peers, and not of his or her own personal "recovery" status. The finding that resident relapse is based primarily upon the total recovery capital available in the homes highlights the importance of the social environment for recovery.

Keywords: Context; Oxford House; Recovery homes; Relapse; Social capital; Social environment.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest

There are no conflicts of interest.

Figures

Fig. 1
Fig. 1
Standardized 2-level confirmatory factor analysis (CFA) model (measurements at respondent’s first observation)
Fig. 2
Fig. 2
Fitted hazard curves comparing a high sample relapse rate OH (95th) versus a low sample relapse rate OH (5th)
Fig. 3
Fig. 3
Standardized 2-level confirmatory factor analysis (CFA) model (measurements at respondent’s first observation)

Similar articles

Cited by

References

    1. Asparouhov T, & Muthen B (2010). Bayesian analysis of latent variable models using Mplus. Version 4. Available from: https://www.statmodel.com/ [last accessed January 20 2020].
    1. Asparouhov T, & Muth en B (2019). Latent variable centering of predictors and mediators in multilevel and time-series models. Structural Equation Modeling: A Multidisciplinary Journal, 26, 119–142.
    1. Beasley CR, & Jason LA (2015). Engagement & disengagement in mutual-help addiction recovery housing: A test of affective events theory. American Journal of Community Psychology, 55, 347–358. - PMC - PubMed
    1. Best D, & Laudet A (2010). The potential of recovery capital. London: RSA.
    1. Boddapati S, Hunter BA, Jason LA, & Ferrari JR (2014). Social anxiety and communal living: The influence of social anxiety on men and women in substance abuse recovery homes. Journal of Substance Use, 19, 152–155. - PMC - PubMed

Publication types