Literature DB >> 34014688

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

Samuel N Meisel1, Ryan W Carpenter2, Hayley Treloar Padovano1, Robert Miranda1.   

Abstract

OBJECTIVE: Social context plays a critical role in youth cannabis use. Yet few studies have examined if and when social contexts shift during cannabis use treatment. This study examined daily shifts in youths' social contexts with the goal of characterizing how specific social contexts (e.g., time with cannabis-using friends or siblings) relate to cannabis craving and use during cannabis treatment.
METHOD: Participants were 65 cannabis users (51% male), ages 15-24 years, who participated in a double-blind randomized clinical trial that tested the effects of motivational enhancement and cognitive behavioral therapies plus either adjunctive pharmacotherapy or placebo on cannabis craving and use. Ecological momentary assessment (EMA) data, collected from a pre-randomization period through the completion of the six-week intervention, assessed youths' social contexts, cannabis use, and craving.
RESULTS: Time-varying effects models identified shifts in social contexts during treatment. Overall, time spent with cannabis-using friends and siblings decreased, where time spent with non-using friends or alone increased across the trial. Time with parents or non-using siblings was unchanged. Comparing the relative associations of social contexts with same-day craving and use, more time with cannabis-using friends and with siblings was uniquely associated with greater craving and use.
CONCLUSIONS: Social context is an important factor in youth substance-use treatment. While time spent with cannabis-using friends and siblings decreased over treatment for all participants, those who continued to spend time with using individuals reported greater craving and use. This research supports increased attention to shifting youths' social contexts to enhance treatment success. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Entities:  

Mesh:

Year:  2021        PMID: 34014688      PMCID: PMC8353596          DOI: 10.1037/ccp0000647

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN: 0022-006X


  62 in total

1.  A time-varying effect model for intensive longitudinal data.

Authors:  Xianming Tan; Mariya P Shiyko; Runze Li; Yuelin Li; Lisa Dierker
Journal:  Psychol Methods       Date:  2011-11-21

2.  Social contexts of substance use among U.S. high school seniors: a multicohort national study.

Authors:  Sean Esteban McCabe; Brady T West; Philip Veliz; Kenneth A Frank; Carol J Boyd
Journal:  J Adolesc Health       Date:  2014-08-22       Impact factor: 5.012

3.  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

Review 4.  Theory-based processes that promote the remission of substance use disorders.

Authors:  Rudolf H Moos
Journal:  Clin Psychol Rev       Date:  2006-12-30

5.  Multidimensional family therapy for young adolescent substance abuse: twelve-month outcomes of a randomized controlled trial.

Authors:  Howard A Liddle; Cynthia L Rowe; Gayle A Dakof; Craig E Henderson; Paul E Greenbaum
Journal:  J Consult Clin Psychol       Date:  2009-02

6.  The Developmental Unfolding of Sibling Influences on Alcohol Use over Time.

Authors:  Diana R Samek; Rebecca J Goodman; Lucy Riley; Matt McGue; William G Iacono
Journal:  J Youth Adolesc       Date:  2017-06-13

7.  Assessing the public health impacts of legalizing recreational cannabis use: the US experience.

Authors:  Wayne Hall; Michael Lynskey
Journal:  World Psychiatry       Date:  2020-06       Impact factor: 49.548

8.  Antisocial boys and their friends in early adolescence: relationship characteristics, quality, and interactional process.

Authors:  T J Dishion; D W Andrews; L Crosby
Journal:  Child Dev       Date:  1995-02

9.  Modeling nonlinear time-dependent treatment effects: an application of the generalized time-varying effect model (TVEM).

Authors:  Mariya P Shiyko; Jack Burkhalter; Runze Li; Bernard J Park
Journal:  J Consult Clin Psychol       Date:  2013-12-23

10.  MECHANISMS OF BEHAVIOR CHANGE IN 12-STEP APPROACHES TO RECOVERY IN YOUNG ADULTS.

Authors:  John F Kelly; Brandon G Bergman; Nilofar Fallah-Sohy
Journal:  Curr Addict Rep       Date:  2018-04-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.