Recovery capital pathways: Modelling the components of recovery wellbeing
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Abstract
In recent years, there has been recognition that recovery is a journey that involves the growth of recovery capital. Thus, recovery capital has become a commonly used term in addiction treatment and research yet its operationalization and measurement has been limited. Due to these limitations, there is little understanding of long-term recovery pathways and their clinical application. We used the data of 546 participants from eight different recovery residences spread across Florida, USA. We calculated internal consistency for recovery capital and wellbeing, then assessed their factor structure via confirmatory factor analysis. The relationships between time, recovery barriers and strengths, wellbeing and recovery capital, as well as the moderating effect of gender, were estimated using structural equations modelling. The proposed model obtained an acceptable fit (χ2 (141, N = 546) = 533.642, p < 0.001; CMIN/DF = 3.785; CFI = 0.915; TLI = 0.896; RMSEA = 0.071). Findings indicate a pathway to recovery capital that involves greater time in residence (‘retention’), linked to an increase in meaningful activities and a reduction in barriers to recovery and unmet needs that, in turn, promote recovery capital and positive wellbeing. Gender differences were observed. We tested the pathways to recovery for residents in the recovery housing population. Our results have implications not only for retention as a predictor of sustained recovery and wellbeing but also for the importance of meaningful activities in promoting recovery capital and wellbeing.Citation
Cano, I., Best, D., Edwards, M. and Lehman, J., (2017). 'Recovery capital pathways: Modelling the components of recovery wellbeing'. Drug and alcohol dependence, 181, pp. 11-19.Publisher
Elsevier BVJournal
Drug and Alcohol DependenceDOI
10.1016/j.drugalcdep.2017.09.002Additional Links
https://doi.org/10.1016/j.drugalcdep.2017.09.002http://shura.shu.ac.uk/id/eprint/17149
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ArticleLanguage
enae974a485f413a2113503eed53cd6c53
10.1016/j.drugalcdep.2017.09.002