Literature DB >> 34546910

The Shape of Change: Determining When Mechanisms of Behavior Change Are Active in Cognitive Behavioral Treatment for Alcohol Use Disorder Using Time-Varying Effect Modeling (TVEM).

Braden K Linn1, Paul R Stasiewicz2, Junru Zhao2, Joseph F Lucke3, Melanie U Ruszczyk2, Charles LaBarre2, Clara M Bradizza2.   

Abstract

OBJECTIVE: Research has identified several potential mechanisms of behavior change (MOBCs) in cognitive-behavioral therapy for alcohol use disorder, including alcohol abstinence self-efficacy (AASE), negative affect (NA), and positive affect (PA). However, little is known about when MOBCs affect clinical outcomes during alcohol use disorder treatment. Such information could advance MOBC research by identifying relationships between specific treatment content and variations in MOBCs. This study examined three MOBCs simultaneously to determine their timing and relative influence on percent days abstinent (PDA) and drinks per day (DPD).
METHOD: Data were derived from a parent study assessing pretreatment change in drinking. Participants (n = 205) received 12 sessions of cognitive-behavioral therapy for alcohol use disorder. AASE, NA, and PA were measured at each treatment session, and time-varying effect models (TVEM) were used to examine their association with PDA and DPD.
RESULTS: All three MOBCs were associated with PDA and DPD but varied with regard to time course, strength, and direction. For PDA, AASE was positively associated throughout treatment, NA was negatively associated from Sessions 1 to 10, and PA was positively associated from Sessions 1 to 3 and 11 to 12. For DPD, AASE was positively associated from Session 5 to the end of treatment, NA was positively associated throughout treatment although the strength of the association varied and was strongest at the beginning of treatment, and PA was positively associated from Sessions 5 to 12.
CONCLUSIONS: Results show that MOBCs exert their effects at different times during treatment. In addition to replicating these results, future research should attempt to manipulate MOBCs directly and examine their influence on alcohol outcomes.

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Mesh:

Year:  2021        PMID: 34546910      PMCID: PMC8819609     

Source DB:  PubMed          Journal:  J Stud Alcohol Drugs        ISSN: 1937-1888            Impact factor:   3.346


  27 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

Review 2.  Mediators and mechanisms of change in psychotherapy research.

Authors:  Alan E Kazdin
Journal:  Annu Rev Clin Psychol       Date:  2007       Impact factor: 18.561

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Journal:  Addiction       Date:  1997-12       Impact factor: 6.526

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Authors:  C Lowman; J Allen; R L Stout
Journal:  Addiction       Date:  1996-12       Impact factor: 6.526

5.  Heterogeneity of alcohol use disorder: understanding mechanisms to advance personalized treatment.

Authors:  Raye Z Litten; Megan L Ryan; Daniel E Falk; Matthew Reilly; Joanne B Fertig; George F Koob
Journal:  Alcohol Clin Exp Res       Date:  2015-04       Impact factor: 3.455

6.  Novel Approaches to the Study of Mechanisms of Behavior Change in Alcohol and Other Drug Use Disorders.

Authors: 
Journal:  J Stud Alcohol Drugs       Date:  2018-03       Impact factor: 2.582

7.  Advancing Analytic Approaches to Address Key Questions in Mechanisms of Behavior Change Research.

Authors:  Kevin A Hallgren; Adam D Wilson; Katie Witkiewitz
Journal:  J Stud Alcohol Drugs       Date:  2018-03       Impact factor: 2.582

8.  The indirect effect of the therapeutic alliance and alcohol abstinence self-efficacy on alcohol use and alcohol-related problems in Project MATCH.

Authors:  Stephen A Maisto; Corey R Roos; Anthony J O'Sickey; Megan Kirouac; Gerard J Connors; J Scott Tonigan; Katie Witkiewitz
Journal:  Alcohol Clin Exp Res       Date:  2015-02-19       Impact factor: 3.455

Review 9.  The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10.

Authors:  D V Sheehan; Y Lecrubier; K H Sheehan; P Amorim; J Janavs; E Weiller; T Hergueta; R Baker; G C Dunbar
Journal:  J Clin Psychiatry       Date:  1998       Impact factor: 4.384

Review 10.  Active Ingredients of Treatment and Client Mechanisms of Change in Behavioral Treatments for Alcohol Use Disorders: Progress 10 Years Later.

Authors:  Molly Magill; Brian D Kiluk; Barbara S McCrady; J Scott Tonigan; Richard Longabaugh
Journal:  Alcohol Clin Exp Res       Date:  2015-09-07       Impact factor: 3.455

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