Dynamic interdependence of advice seeking, loaning, and recovery characteristics in recovery homes

Bibliographic Data

ID7850899
AuthorsLeonard A Jason (0000-0002-9972-4425, DePaul University, corresponding author), Gabrielle Lynch (0000-0003-3669-1969, DePaul University), Ted Bobak (DePaul University), Ted J Bobak (0000-0002-3626-6156, DePaul University), John M Light (0000-0002-7815-5876, Oregon Research Institute, Eugene, Oregon, USA), Nathan J Doogan (Ohio State University, Columbus, Ohio, USA), Nathan Doogan (The Ohio State University)
Year2022
Volume32
Issue5
Pages663-678
Publication date2022-07-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Human Behavior in the Social Environment (JOURNAL)
Journal identifiersISSN: 1091-1359 • E-ISSN: 1540-3556
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10911359.2021.1947930
PMID36034076
OpenAlexW3178225848
LanguageEN
Citations received4
References cited40

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

Actuarial science · Advice (programming · Business · Interdependence · Loan · Operationalization · Political science · Pooling · Set (abstract data type · Computer Science · Health disparities and outcomes · Homelessness and Social Issues · Law · Psychology · Social Psychology · Urban, Neighborhood, and Segregation Studies · Finance

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