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Updated: Nov 26, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Context Matters: Home-level But Not Individual-Level Recovery Social Capital Predicts Residents' Relapse
Leonard A Jason1, Mayra Guerrero1, Meghan Salomon-Amend1
1DePaul University, Chicago, IL, USA.
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.
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