Literature DB >> 17719158

Social network variables in alcoholics anonymous: a literature review.

D R Groh1, L A Jason, C B Keys.   

Abstract

Alcoholics Anonymous (AA) is the most commonly used program for substance abuse recovery and one of the few models to demonstrate positive abstinence outcomes. Although little is known regarding the underlying mechanisms that make this program effective, one frequently cited aspect is social support. In order to gain insight into the processes at work in AA, this paper reviewed 24 papers examining the relationship between AA and social network variables. Various types of social support were included in the review such as structural support, functional support, general support, alcohol-specific support, and recovery helping. Overall, this review found that AA involvement is related to a variety of positive qualitative and quantitative changes in social support networks. Although AA had the greatest impact on friend networks, it had less influence on networks consisting of family members or others. In addition, support from others in AA was found to be of great value to recovery, and individuals with harmful social networks supportive of drinking actually benefited the most from AA involvement. Furthermore, social support variables consistently mediated AA's impact on abstinence, suggesting that social support is a mechanism in the effectiveness of AA in promoting a sober lifestyle. Recommendations are made for future research and clinical practice.

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Year:  2007        PMID: 17719158      PMCID: PMC2289871          DOI: 10.1016/j.cpr.2007.07.014

Source DB:  PubMed          Journal:  Clin Psychol Rev        ISSN: 0272-7358


  74 in total

Review 1.  Measuring treatment process variables in Alcoholics Anonymous.

Authors:  J P Allen
Journal:  J Subst Abuse Treat       Date:  2000-04

2.  The development and validation of the Sense of Support Scale.

Authors:  C L Dolbier; M A Steinhardt
Journal:  Behav Med       Date:  2000       Impact factor: 3.104

3.  Does Alcoholics Anonymous work? The results from a meta-analysis of controlled experiments.

Authors:  R J Kownacki; W R Shadish
Journal:  Subst Use Misuse       Date:  1999-11       Impact factor: 2.164

4.  Family, religious, school and peer influences on adolescent alcohol use: a longitudinal study.

Authors:  W A Mason; M Windle
Journal:  J Stud Alcohol       Date:  2001-01

5.  A longitudinal model of social contact, social support, depression, and alcohol use.

Authors:  R S Peirce; M R Frone; M Russell; M L Cooper; P Mudar
Journal:  Health Psychol       Date:  2000-01       Impact factor: 4.267

6.  General and alcohol-specific social support following treatment.

Authors:  M C Beattie; R Longabaugh
Journal:  Addict Behav       Date:  1999 Sep-Oct       Impact factor: 3.913

7.  Should patients' religiosity influence clinicians' referral to 12-step self-help groups? Evidence from a study of 3,018 male substance abuse patients.

Authors:  A Winzelberg; K Humphreys
Journal:  J Consult Clin Psychol       Date:  1999-10

8.  Meta-Analysis of social relationships and posttreatment drinking outcomes: comparison of relationship structure, function and quality.

Authors:  M C Beattie
Journal:  J Stud Alcohol       Date:  2001-07

9.  "Getting by (or getting high) with a little help from my friends": an examination of adult alcoholics' friendships.

Authors:  C D Mohr; S Averna; D A Kenny; F K Del Boca
Journal:  J Stud Alcohol       Date:  2001-09

10.  A longitudinal model of intake symptomatology, AA participation and outcome: retrospective study of the project MATCH outpatient and aftercare samples.

Authors:  G J Connors; J S Tonigan; W R Miller
Journal:  J Stud Alcohol       Date:  2001-11
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  52 in total

1.  Social support and comfort in AA as mediators of "Making AA easier" (MAAEZ), a 12-step facilitation intervention.

Authors:  Meenakshi Sabina Subbaraman; Lee Ann Kaskutas
Journal:  Psychol Addict Behav       Date:  2012-05-28

2.  The role of Alcoholics Anonymous in mobilizing adaptive social network changes: a prospective lagged mediational analysis.

Authors:  John F Kelly; Robert L Stout; Molly Magill; J Scott Tonigan
Journal:  Drug Alcohol Depend       Date:  2010-10-28       Impact factor: 4.492

3.  Independent and Interactive Effects of Neighborhood Disadvantage and Social Network Characteristics on Problem Drinking after Treatment.

Authors:  Amy A Mericle; Lee A Kaskutas; Doug L Polcin; Katherine J Karriker-Jaffe
Journal:  J Soc Clin Psychol       Date:  2018-01

Review 4.  12-step participation among dually-diagnosed individuals: a review of individual and contextual factors.

Authors:  Darrin M Aase; Leonard A Jason; W LaVome Robinson
Journal:  Clin Psychol Rev       Date:  2008-05-13

5.  Recovery resources and psychiatric severity among persons with substance use disorders.

Authors:  John M Majer; Jason C Payne; Leonard A Jason
Journal:  Community Ment Health J       Date:  2014-07-29

6.  Adolescent social networks: general and smoking-specific characteristics associated with smoking.

Authors:  Megan E Roberts; Jessica E Nargiso; Linda Brazil Gaitonde; Cassandra A Stanton; Suzanne M Colby
Journal:  J Stud Alcohol Drugs       Date:  2015-03       Impact factor: 2.582

7.  Is General or Alcohol-Specific Perceived Social Support Associated with Depression among Adults in Substance Use Treatment?

Authors:  Ryan C Shorey; Anne E Dawson; Ellen Haynes; Catherine Strauss; JoAnna Elmquist; Scott Anderson; Gregory L Stuart
Journal:  J Psychoactive Drugs       Date:  2016-09-14

Review 8.  Molecular basis and current treatment for alcoholic liver disease.

Authors:  Alejandra Miranda-Mendez; Alejandro Lugo-Baruqui; Juan Armendariz-Borunda
Journal:  Int J Environ Res Public Health       Date:  2010-04-27       Impact factor: 3.390

Review 9.  Biological contribution to social influences on alcohol drinking: evidence from animal models.

Authors:  Allison M J Anacker; Andrey E Ryabinin
Journal:  Int J Environ Res Public Health       Date:  2010-02-11       Impact factor: 3.390

10.  The role of social support and social networks in smoking behavior among middle and older aged people in rural areas of South Korea: a cross-sectional study.

Authors:  E Hwa Yun; Yoon Hwa Kang; Min Kyung Lim; Jin-Kyoung Oh; Jung Min Son
Journal:  BMC Public Health       Date:  2010-02-18       Impact factor: 3.295

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