This study explored the role of social network and social identity factors in recovery from addiction. The sample consisted of 537 individuals who completed a survey about their experiences of recovery. Results indicated that the transition from addiction to recovery was characterized by an increase in social connectedness and changes in social network composition coupled with the emergence of a “recovery” identity. These factors accounted for 14% of the variance in quality of life when controlling for known predictors, accounting for a greater proportion of variance than substance use variables. Results suggest that recovery from addiction can be understood as a socially mediated transition characterized by social network and social identity change, which drive broader improvements in quality of life.
Background: The Social Identity approach offers a unifying framework for understanding recovery from addiction as a process of identity change, associated with change in social network composition. This paper introduces Social Identity Mapping in Addiction Recovery (SIM-AR) -a visual method for capturing social group memberships, extended to integrate the substance use 'status' of group members as an indicator of group substance use norms. The aim here is to test theory-derived predictions focused on the relationship between changes in social identity and network composition reflected in substance use norms in early recovery.Method: 155 therapeutic community (TC) residents in Victoria, Australia, completed the SIM-AR plus measures of substance-using and recovery identities and substance use shortly after admission, and 65% (N=101) again 6 months later.Results: As predicted, substance use severity at follow up was associated with changes in both social identity and network composition. Furthermore, reduced strength of substance-using identity was associated with a decrease in the proportion of groups with heavy substance use norms, while increased strength of 'recovery' identity was associated with an increased proportion of non-using groups.Conclusion: SIM-AR proved useful in testing predictions about social identity and network changes in a residential treatment context. It captured key social identity constructs in recovery using a visual technique with value to both research and applied contexts. Findings highlight the clinical importance of assessing a person's group-based relationships in treatment and early recovery, especially the influence of social group norms in relation to substance use.
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