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Social networks as mediators of the effect of Alcoholics Anonymous
Abstract
Aims: This study tested the hypothesis that the relationship between Alcoholics Anonymous (AA) involvement and reduced substance use is partially explained (or ‘mediated’) by changes in social networks. Design: This is a naturalistic longitudinal study of the course of alcohol problems. Setting: Study sites were the 10 largest public and private alcohol treatment programs in a northern California county. Participants: Three hundred and seventy‐seven men and 277 women were recruited upon seeking treatment at study sites. Measurements: At baseline and 1‐year follow‐up, we assessed alcohol consequences and dependence symptoms, consumption, social support for abstinence, pro‐drinking social influences and AA involvement. Findings: In the structural equation model, AA involvement was a significant predictor of lower alcohol consumption and fewer related problems. The size of this effect decreased by 36% when network size and support for drinking were included as mediators. In logistic regression models predicting abstinence at follow‐up, AA remained highly significant after including social network variables but was again reduced in magnitude. Thirty‐day abstinence was predicted by AA involvement (OR = 2.9), not having pro‐drinking influences in one's network (OR = 0.7) and having support for reducing consumption from people met in AA (versus no support; OR = 3.4). In contrast, having support from non‐AA members was not a significant predictor of abstinence. For alcohol‐related outcomes other than abstinence, significant relationships were found for both AA‐based and non‐AA‐based support. Conclusions: The type of social support specifically given by AA members, such as 24‐hour availability, role modeling and experientially based advice for staying sober, may help to explain AA's mechanism of action. Results highlight the value of focusing on outcomes reflective of AA's goals (such as abstinence) when studying how AA works.
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“Like Recovery Homes, involvement in AA showed a link to positive recovery outcomes (Humphreys et al., 1997; Kaskutas et al., 2002).”
From The Importance of Social Support in Recovery Populations: Toward a Multilevel Understanding (2023) · cites this paper as Kaskutas et al., 2002
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Metadata
- Authors
- Kaskutas, L. A., Bond, J., & Humphreys, K.
- Affiliations
- Alcohol Research Group (US)
- Stanford University (US)
- Corresponding author
- Kaskutas, Lee Ann
- ORCID
- Humphreys, Keith
- Venue
- Addiction
- Publisher
- Wiley
- Published
- 2002-06-25
- Volume
- 97
- Issue
- 7
- Pages
- 891-900
- ISSN
- 0965-2140 (ISSN-L)
- 1360-0443
- OpenAlex
- W2113580683
- Cited by
- 308
- References
- 45
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 3 · 2023: 4 · 2022: 9 · 2021: 18 · 2020: 12 · 2019: 24 · 2018: 11 · 2017: 9 · 2016: 15 · 2015: 14 · 2014: 16 · 2013: 15 · 2012: 15
- FWCI
- 7.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Addiction (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (AA09750, AA-05595, R01AA009750)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Sociology and Political Science › Homelessness and Social Issues
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Keywords
- Alcoholics Anonymous, social networks, social support, abstinence, alcohol consumption, alcoholism, peer support groups, mechanism of action, alcoholism treatment, network size
- MeSH terms
- Adult, Alcoholics Anonymous, Alcoholism, Analysis of Variance, Female, Humans, Longitudinal Studies, Male, Regression Analysis, Social Support, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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