Literature DB >> 28460232

How many or how much? Testing the relative influence of the number of social network risks versus the amount of time exposed to social network risks on post-treatment substance use.

David Eddie1, John F Kelly2.   

Abstract

BACKGROUND: Having high-risk, substance-using friends is associated with young adult substance use disorder (SUD) relapse. It is unclear, however, whether it is the total number of high-risk friends, or the amount of time spent with high-risk friends that leads to relapse. Unclear also, is to what extent low-risk friends buffer risk. This study examined the influence of number of high-risk and low-risk friends, and the amount time spent with these friends on post-treatment percent days abstinent (PDA).
METHOD: Young adult inpatients (N=302) were assessed at intake, and 3, 6, and 12 months on social network measures and PDA. Mixed models tested for effects of number of high- and low-risk friends, and time spent with these friends on PDA, and for net-risk friend effects to test whether low-risk friends offset risk.
RESULTS: Within and across assessments, number of, and time spent with high-risk friends was negatively associated with PDA, while the inverse was true for low-risk friends. Early post-treatment, time spent with friends more strongly predicted PDA than number of friends. Participants were more deleteriously affected by time with high-risk friends the longer they were out of treatment, while contemporaneously protection conferred by low-risk friends increased. This interaction effect, however, was not observed with number of high- or low-risk friends, or number of friends net-risk.
CONCLUSIONS: Young adult SUD patients struggling to break ties with high-risk friends should be encouraged to minimize time with them. Clinicians should also encourage patients to grow their social network of low-risk friends.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Addiction; Emerging adults; Recovery; Social network risk; Substance use; Treatment outcomes

Mesh:

Year:  2017        PMID: 28460232      PMCID: PMC5504706          DOI: 10.1016/j.drugalcdep.2017.02.012

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  29 in total

1.  Social context and "natural recovery": the role of social capital in the resolution of drug-associated problems.

Authors:  R Granfield; W Cloud
Journal:  Subst Use Misuse       Date:  2001-09       Impact factor: 2.164

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.  Do young people benefit from AA as much, and in the same ways, as adult aged 30+? A moderated multiple mediation analysis.

Authors:  Bettina B Hoeppner; Susanne S Hoeppner; John F Kelly
Journal:  Drug Alcohol Depend       Date:  2014-07-30       Impact factor: 4.492

4.  Can 12-step group participation strengthen and extend the benefits of adolescent addiction treatment? A prospective analysis.

Authors:  John F Kelly; Sarah J Dow; Julie D Yeterian; Christopher W Kahler
Journal:  Drug Alcohol Depend       Date:  2010-03-24       Impact factor: 4.492

Review 5.  Theory-based active ingredients of effective treatments for substance use disorders.

Authors:  Rudolf H Moos
Journal:  Drug Alcohol Depend       Date:  2006-11-28       Impact factor: 4.492

Review 6.  Measurement of drinking behavior using the Form 90 family of instruments.

Authors:  W R Miller; F K Del Boca
Journal:  J Stud Alcohol Suppl       Date:  1994-12

7.  The role of functional social support in treatment retention and outcomes among outpatient adult substance abusers.

Authors:  Patricia L Dobkin; Civita Mirella De; Antonios Paraherakis; Kathryn Gill
Journal:  Addiction       Date:  2002-03       Impact factor: 6.526

8.  Psychometric validation of the Leeds Dependence Questionnaire (LDQ) in a young adult clinical sample.

Authors:  John F Kelly; Molly Magill; Valerie Slaymaker; Christopher Kahler
Journal:  Addict Behav       Date:  2009-12-03       Impact factor: 3.913

9.  Axis I comorbidity in adolescent inpatients referred for treatment of substance use disorders.

Authors:  Tobias Langenbach; Alexandra Spönlein; Eva Overfeld; Gaby Wiltfang; Niklas Quecke; Norbert Scherbaum; Peter Melchers; Johannes Hebebrand
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2010-09-28       Impact factor: 3.033

10.  Social support and cognitive impairment in clients receiving treatment for alcohol- and drug-use disorders: a replication study.

Authors:  Jennifer F Buckman; Marsha E Bates; Jon Morgenstern
Journal:  J Stud Alcohol Drugs       Date:  2008-09       Impact factor: 2.582

View more
  4 in total

1.  The effect of significant other involvement in treatment for substance use disorders: A meta-analysis.

Authors:  Talia Ariss; Catharine E Fairbairn
Journal:  J Consult Clin Psychol       Date:  2020-03-12

2.  Longitudinal Associations between Social Relationships and Alcohol Use from Adolescence into Young Adulthood: The Role of Religiousness.

Authors:  Jordan Gamache; Toria Herd; Joseph Allen; Brooks King-Casas; Jungmeen Kim-Spoon
Journal:  J Youth Adolesc       Date:  2022-05-21

3.  Day-level shifts in social contexts during youth cannabis use treatment.

Authors:  Samuel N Meisel; Ryan W Carpenter; Hayley Treloar Padovano; Robert Miranda
Journal:  J Consult Clin Psychol       Date:  2021-04

4.  Social Network Characteristics among Racial/Ethnic Minority Young Adult Males with Prior Criminal Justice System Involvement.

Authors:  Kelly E Moore; Derrick M Gordon; Talea Cornelius; Trace Kershaw
Journal:  Deviant Behav       Date:  2019-11-18
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.