@article{10272/19722,
year = {2021},
month = {1},
url = {http://hdl.handle.net/10272/19722},
abstract = {Background: Relapse in drug use constitutes a research topic on addiction that is
relevant for understanding both the addictive process and its clinical implications. The
objective of this study was to explore if it is possible to identify patient profiles
according to their performance on cognitive tasks whilst examining the relationship
between such profiles and relapse. Methods: The sample consisted of 222 patients with
dependence on cocaine and / or alcohol, of which 86% were men. Cognitive domains
related to salience, decision- making, and emotional processing were measured.
Results: Latent class analysis revealed three patient profiles that differ in terms of
performance on cognitive tasks. Two of these profiles are clearly differentiated in terms
of their execution of the impulsive decision-making task. The third patient profile,
unlike the latter two, is composed of patients with severe alterations in the three
domains evaluated. Analysis revealed that patients in Profile 3 are those with the
highest rates of relapse in cocaine (Profile 1 = 40.3%; Profile 2 = 35.6%; Profile 3 =
69.2%; Chi2 = 9.169; p <.05) and cocaine and alcohol use (Profile 1 = 55.1%; Profile 2
= 54.1%; Profile 3 = 80%; Chi2 = 6.698; p <.05). Conclusions: The results support the
postulates of the I-RISA model. From a clinical perspective, these findings highlight the
need for a comprehensive evaluation of the cognitive domains involved in addiction.},
publisher = {Elsevier},
keywords = {Cocaine and alcohol relapse},
keywords = {Decision-making},
keywords = {Emotional processing},
keywords = {Incentive salience},
keywords = {Latent profile},
title = {Profiles of Patients with Cocaine and Alcohol use Disorder Based on Cognitive Domains and Their Relationship with Relapse},
doi = {10.1016/j.drugalcdep.2020.108349},
author = {Dacosta Sánchez, Daniel and González Ponce, Bella M. and Fernández Calderón, Fermín and Lozano Rojas, Óscar Martín},
}