Latent profile analysis in recovery homes: A single quantitative dimension captures most but not all of the important details of the recovery process.

Background: Our study explored whether latent classes adequately represented the social capital recovery indicators at the resident level and whether latent class membership predicted subsequent exits from the recovery homes. Method: Our sample included about 600 residents in 42 recovery homes. Over a 2-year period of time, every 4 months, data were collected on eight elements of recovery capital. Results: We found 5 latent classes were optimal for representing 8 elements of recovery capital. Representing 79% of the sample, 3 of the 5 latent class profiles of the means of the 8 recovery indicators were roughly parallel and differed only in level, but the remaining 2 latent class profiles, representing 21% of the sample, were not parallel to the first 3, suggesting that a single quantitative dimension of perceived recovery may capture most but not all of the important details of the recovery process. Next, using longitudinal data from homes, the distal outcomes of resident eviction and voluntary exit were found to be related to latent class membership. Resident level pre-existing predictors (e.g., employment status, educational attainment, gender, Latinx ethnicity) and house level pre-existing predictors (e.g., financial health, poverty level of typical population served, new resident acceptance rate) significantly discriminated the classes. In a model that combined both pre-existing predictors and distal outcomes, latent class membership was still the strongest predictor of evictions controlling for the pre-existing predictors. Conclusions: These classes help to clarify the different aspects of the recovery latent score, and point to classes that have different ethnic and gender characteristics as well as outcomes in the recovery homes. For example, the high levels of self-confidence found in class 3 suggest that Latinx might be at higher risk for having some difficulties within these recovery communities.

Social integration in recovery living environments: A dynamic network approach.

Oxford Houses (OHs) are a large network of self-run community-based settings for individuals with substance use disorders. This present study explored a model based on conceptualizing recovery home social systems as dynamic multirelational (multiplex) social networks. The model is developed from data obtained from 42 OH recovery homes in three parts of the US, addressing whole networks of friendship, close friendship, and willingness to loan money. Findings indicated that close friend and loan relationships mutually reinforced each other over time as they coevolved. These types of insights can help community psychologists to better understand complex network dynamics in community-based settings.

Dynamic Interdependence of Advice Seeking, Loaning, and Recovery Characteristics in Recovery Homes.

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.

Willingness to Lend Resources is Associated with Increases in Recovery and Participation in Community Activities.

Recovery homes may facilitate individuals with substance use disorders re-integration back into community settings by providing friendship, resources, and advice. Participants of the current study were over 600 residents of 42 Oxford House recovery homes. Findings indicated that willingness to share resources in the form of loans was associated with higher levels of house involvement in recovery home chapters. Active involvement in house and community affairs may influence more recovery within homes or may be an indicator of houses with residents with more capacities and skills for positive long-term health outcomes. Such findings suggest that recovery is a dynamic process with multiple ecological layers embedding individuals, their immediate social networks, and the wider community.

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

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.

Personal and Environmental Social Capital Predictors of Relapse Following Departure from Recovery Homes.

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.

Recovery home networks as social capital.

Ensuring recovery home residents' social integration into a home environment is important for preventing early dropout and facilitating sustained recovery. Social capital theory may provide an explanation for how recovery homes may protect residents and improve recovery rates. However, little is known about how social capital in recovery home environments is structured and accessed. Recovery homes may increase social capital by sharing bonds through friendships, lending money, and advice-seeking. The current study describes social network cross sectional data obtained from a study of 42 Oxford House recovery homes, in three locations in the US (North Carolina, Texas, and Oregon). The residents rated each member of their house on the dimensions of friendship, money loaning, and advice seeking to assess how each resident views one another on these dimensions. The research used baseline data from a larger longitudinal study, and although some data were presented for the full sample (APL, isolates, mean reciprocity and density), the results primarily focused on case studies for three of the participating Oxford Houses-with examples of low, median, and high "connected" houses respectively. Standard measures of network structures were calculated for each home. Although all Oxford Houses follow the same house rules, they were found to vary in network structure. Findings indicated a considerable range of interconnectedness among residents in these houses, with friendship being the most common relationship, willingness to lend money less common, and advice-seeking the least common. The findings on friendship, willingness to lend, and advice-seeking provide promising leads about what occurs among the social networks within these complex eco-systems, and may provide ways to better understand and facilitate resident social integration into these settings.

Reducing health disparities among black individuals in the post-treatment environment.

An important step in reducing health disparities among racial and ethnic minorities with substance use disorders involves identifying interventions that lead to successful recovery outcomes for this population. The current study evaluated outcomes of a community-based recovery support program for those with substance use disorders. Participants included 632 residents of recovery homes in three states in the US. A multi-item recovery factor was found to increase over time for these residents. However, rates of improvement among Black individuals were higher than for other racial/ethnic groups. Black Americans perhaps place a higher value on communal relationships relative to all other racial/ethnic groups, and by adopting such a communitarian perspective, they might be even more receptive to living in a house that values participation and involvement. The implications of these findings for health disparities research are discussed.

Relational victimization and peer affiliate prosocial behaviors in African American adolescents: Moderating effects of gender and antisocial behavior.

INTRODUCTION: Experiencing relational victimization (e.g., peer exclusion, untrue rumors) during adolescence can have negative social-emotional consequences, including increased antisocial behavior and substance use. The negative impact of relational victimization may be lessened by spending time with supportive, prosocial peers. METHODS: This study examined the concurrent and predictive associations between relational victimization and peer affiliates' prosocial behaviors in 244 predominately African American adolescents (ages 13-14) living in U.S. urban neighborhoods. Questionnaires were collected every six months for two years. Overt victimization was controlled for in the analysis and the moderation of gender and antisocial behaviors were tested. RESULTS: Peer affiliates' prosocial behavior was stable across the two years. Relational victimization was not associated with peers' prosocial behavior at baseline or across time. Gender did not moderate the association between relational victimization and peers' prosocial behavior. Moderating effects were found for antisocial behavior; relational victimization was positively associated with peer affiliates' prosocial behavior but only for adolescents who were low on antisocial behavior at baseline. CONCLUSIONS: For African American youth, efforts to reduce relational aggression and increase peer support in prosocial activities prior to adolescence may be useful for preventing social-emotional problems.

A promising recovery housing model for American Indian communities.

In 2016, two Oxford House (OH) recovery homes were established for the Suquamish Tribal reservation. A group of researchers interviewed house members and key individuals responsible for the creation of these two unique OHs. Because American Indians are an at-risk population for substance use disorders, our study explored whether an OH-type recovery home model could be successfully adapted to this population, given the specific nature of tribal cultures. Findings indicated that the residents, composed of both American Indians and non-American Indians, found these OHs to be supportive of recovery in general and with the values of American Indians. The tribal community's positive attitudes toward these recovery homes may have been due to similarities between the Suquamish Tribal Government and OH's democratic structures, with all individuals having a voice in the decision making process. The overall findings suggest that these types of culturally modified recovery settings on American Indian tribal lands could be an important resource for individuals dealing with substance use disorders.