Literature DB >> 15919159

Course of functioning 1 year following admission for treatment of alcohol use disorders.

Stephen A Maisto1, William H Zywiak, Gerard J Connors.   

Abstract

Research on alcohol treatment outcomes has the potential to advance knowledge about how treatment combines with other variables to influence post treatment course of functioning. The purpose of this study was to replicate and extend [Connors, G. J., Maisto, S. A., & Zywiak, W. H. (1996). Understanding relapse in the broader context of post-treatment functioning. Addiction, 91 (Suppl.), S173-S189] test of a multivariate model of course by testing the model's fit to data from a larger sample and the use of stronger statistical methods. The participants were 400 men and women presenting for alcohol treatment in two cities in the US. These individuals completed a pretreatment (baseline) assessment battery at treatment initiation and then completed follow-up assessments bimonthly for a period of 1 year. The model included pretreatment, treatment (months 1-6), and post-baseline (months 1-6) factors to predict alcohol use (percent days abstinent, drinks/drinking day, and total number drinks/month, all for months 7-12). The application of structural equation modeling methods revealed that the model fit the data adequately for all three dependent variables, with the major significant findings of direct effects of treatment setting, coping skills, and the mediation of treatment effects through coping skills. Overall, the data replicated several findings from the Connors et al.'s study and point to the importance of investigating the mechanisms underlying treatment effects and the mediation of treatment effects by coping skills in future research.

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Year:  2006        PMID: 15919159     DOI: 10.1016/j.addbeh.2005.04.008

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  13 in total

1.  Cortical thickness, surface area, and volume of the brain reward system in alcohol dependence: relationships to relapse and extended abstinence.

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2.  Brain morphology at entry into treatment for alcohol dependence is related to relapse propensity.

Authors:  Valerie A Cardenas; Timothy C Durazzo; Stefan Gazdzinski; Anderson Mon; Colin Studholme; Dieter J Meyerhoff
Journal:  Biol Psychiatry       Date:  2011-05-20       Impact factor: 13.382

3.  Potential roles for new communication technologies in treatment of addiction.

Authors:  Kimberly Johnson; Andrew Isham; Dhavan V Shah; David H Gustafson
Journal:  Curr Psychiatry Rep       Date:  2011-10       Impact factor: 5.285

4.  Explicating an evidence-based, theoretically informed, mobile technology-based system to improve outcomes for people in recovery for alcohol dependence.

Authors:  David H Gustafson; Bret R Shaw; Andrew Isham; Timothy Baker; Michael G Boyle; Michael Levy
Journal:  Subst Use Misuse       Date:  2011       Impact factor: 2.164

5.  Disrupted regulation of social exclusion in alcohol-dependence: an fMRI study.

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Journal:  Neuropsychopharmacology       Date:  2012-04-18       Impact factor: 7.853

6.  Predicting post-treatment-initiation alcohol use among patients with severe mental illness and alcohol use disorders.

Authors:  Clara M Bradizza; Stephen A Maisto; Paula C Vincent; Paul R Stasiewicz; Gerard J Connors; Nicole D Mercer
Journal:  J Consult Clin Psychol       Date:  2009-12

7.  Predictors of drinking and functional outcomes for men and women following inpatient alcohol treatment.

Authors:  Dawn E Sugarman; Julia S Kaufman; Elisa M Trucco; Jodi C Brown; Shelly F Greenfield
Journal:  Am J Addict       Date:  2014 May-Jun

8.  Life events and alcohol use disorder clinical course: Modeling the dynamic association.

Authors:  Marketa Krenek; Mark A Prince; Stephen A Maisto
Journal:  Drug Alcohol Depend       Date:  2017-08-31       Impact factor: 4.492

9.  Insula Sensitivity to Unfairness in Alcohol Use Disorder.

Authors:  Carlos R Cortes; Erica N Grodin; Claire L Mann; Karan Mathur; Michael Kerich; Xi Zhu; Melanie Schwandt; Nancy Diazgranados; David T George; Reza Momenan; Markus Heilig
Journal:  Alcohol Alcohol       Date:  2018-05-01       Impact factor: 2.826

10.  The effects of combining Web-based eHealth with telephone nurse case management for pediatric asthma control: a randomized controlled trial.

Authors:  David Gustafson; Meg Wise; Abhik Bhattacharya; Alice Pulvermacher; Kathleen Shanovich; Brenda Phillips; Erik Lehman; Vernon Chinchilli; Robert Hawkins; Jee-Seon Kim
Journal:  J Med Internet Res       Date:  2012-07-26       Impact factor: 5.428

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