Literature DB >> 32289744

Predicting relapse in patients with severe alcohol use disorder: The role of alcohol insight and implicit alcohol associations.

Meira Dandaba1, Wilfried Serra2, Ghina Harika-Germaneau3, Christine Silvain4, Nicolas Langbour2, Marcello Solinas5, Xavier Noël6, Nemat Jaafari3, Armand Chatard7.   

Abstract

Low insight is reported as a risk factor for relapse among patients treated for alcohol use disorders. However, to date, little is known on why patients with low insight are at higher risk for relapse. In this study, we tested the hypothesis that an implicit preference for alcohol over abstinence predicts relapse in patients with low, but not high, alcohol insight. Participants consisted of 77 patients who had received treatment for severe alcohol use disorder in a hospital in France. During hospitalization, they completed a self-report measure of insight and an implicit association test to assess implicit preference for alcohol over abstinence. The primary outcome was relapse assessed one month after discharge. Control variables were gender, age, cognitive deficit, anxiety, depression, craving, and impulsivity. Data were analysed using logistic regression analysis. After adjusting for demographic and clinical variables, relapse was predicted by the interaction between insight and implicit preference for alcohol but not by their main effects alone. Implicit preference for alcohol predicted relapse among patients with relatively low insight, but not among those with relatively high insight. These findings suggest that patients with low insight and strong implicit preference for alcohol are at a higher risk of relapse. Clinicians may therefore focus on and tailor specific interventions to prevent relapse in this vulnerable and at-risk population.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alcohol; Implicit association; Insight; Relapse

Mesh:

Year:  2020        PMID: 32289744     DOI: 10.1016/j.addbeh.2020.106433

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


  2 in total

1.  Link Between Perception of Treatment Need and Craving Reports in Addiction.

Authors:  Laura Lambert; Fuschia Serre; Berangere Thirioux; Nematollah Jaafari; Perrine Roux; Marie Jauffret-Roustide; Laurence Lalanne; Jean-Pierre Daulouède; Marc Auriacombe
Journal:  Front Psychiatry       Date:  2022-01-31       Impact factor: 4.157

2.  Machine learning prediction of dropping out of outpatients with alcohol use disorders.

Authors:  So Jin Park; Sun Jung Lee; HyungMin Kim; Jae Kwon Kim; Ji-Won Chun; Soo-Jung Lee; Hae Kook Lee; Dai Jin Kim; In Young Choi
Journal:  PLoS One       Date:  2021-08-02       Impact factor: 3.240

  2 in total

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