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Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas

Substance use is a globally devastating social problem. Early maladaptive schemas (EMSs) are inefficient mechanisms leading directly or indirectly to psychological distress. The current study aimed to assess the role of EMSs in predicting opioid use disorder. The cross-sectional study was conducted...

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Autores principales: Zamirinejad, Somayeh, Hojjat, Seyed Kaveh, Moslem, Alireza, MoghaddamHosseini, Vahideh, Akaberi, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818123/
https://www.ncbi.nlm.nih.gov/pubmed/29145774
http://dx.doi.org/10.1177/1557988317742230
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author Zamirinejad, Somayeh
Hojjat, Seyed Kaveh
Moslem, Alireza
MoghaddamHosseini, Vahideh
Akaberi, Arash
author_facet Zamirinejad, Somayeh
Hojjat, Seyed Kaveh
Moslem, Alireza
MoghaddamHosseini, Vahideh
Akaberi, Arash
author_sort Zamirinejad, Somayeh
collection PubMed
description Substance use is a globally devastating social problem. Early maladaptive schemas (EMSs) are inefficient mechanisms leading directly or indirectly to psychological distress. The current study aimed to assess the role of EMSs in predicting opioid use disorder. The cross-sectional study was conducted in 2013 in Bojnurd at northeast of Iran on 60 male opioid users who received Methadone Maintenance Treatment (MMT) and 60 control males. The opioid users were selected randomly from MMT clinics and control subjects were selected and matched with opioid users using demographic variables. The subjects completed the Young Schema Questionnaire-Short Form (YSQ-SF). Except for SS (self-sacrifice), EG (entitlement/grandiosity), US (unrelenting standards), and FA (Failure to Achieve), the mean of other maladaptive schemas in the opioid user group were significantly higher than that of the control group, adjusted for multiple comparisons. Multivariate analysis of variance (MANOVA) indicated significant differences in maladaptive schemas between the two groups. Logistic regression identified that Emotional Deprivation, Mistrust/Abuse, and Unrelenting Standards can predict opioid use. As a result, the risk of opioid-related disorders in people with higher YSQ-SF scores in these schemas is higher. The findings conclude that the existence of underlying EMS may constitute a vulnerability factor for developing opioid use disorders later on in life. Provided the vast amount of scientific literature in evidence-based treatments focusing on EMSs, maladaptive schemas and related core beliefs can be detected and treated in adolescence to prevent the enactment of the schema and psychological distress likely to induce opioid use.
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spelling pubmed-58181232018-03-01 Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas Zamirinejad, Somayeh Hojjat, Seyed Kaveh Moslem, Alireza MoghaddamHosseini, Vahideh Akaberi, Arash Am J Mens Health Mental Health & Wellbeing Substance use is a globally devastating social problem. Early maladaptive schemas (EMSs) are inefficient mechanisms leading directly or indirectly to psychological distress. The current study aimed to assess the role of EMSs in predicting opioid use disorder. The cross-sectional study was conducted in 2013 in Bojnurd at northeast of Iran on 60 male opioid users who received Methadone Maintenance Treatment (MMT) and 60 control males. The opioid users were selected randomly from MMT clinics and control subjects were selected and matched with opioid users using demographic variables. The subjects completed the Young Schema Questionnaire-Short Form (YSQ-SF). Except for SS (self-sacrifice), EG (entitlement/grandiosity), US (unrelenting standards), and FA (Failure to Achieve), the mean of other maladaptive schemas in the opioid user group were significantly higher than that of the control group, adjusted for multiple comparisons. Multivariate analysis of variance (MANOVA) indicated significant differences in maladaptive schemas between the two groups. Logistic regression identified that Emotional Deprivation, Mistrust/Abuse, and Unrelenting Standards can predict opioid use. As a result, the risk of opioid-related disorders in people with higher YSQ-SF scores in these schemas is higher. The findings conclude that the existence of underlying EMS may constitute a vulnerability factor for developing opioid use disorders later on in life. Provided the vast amount of scientific literature in evidence-based treatments focusing on EMSs, maladaptive schemas and related core beliefs can be detected and treated in adolescence to prevent the enactment of the schema and psychological distress likely to induce opioid use. SAGE Publications 2017-11-17 2018-03 /pmc/articles/PMC5818123/ /pubmed/29145774 http://dx.doi.org/10.1177/1557988317742230 Text en © The Author(s) 2017 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Mental Health & Wellbeing
Zamirinejad, Somayeh
Hojjat, Seyed Kaveh
Moslem, Alireza
MoghaddamHosseini, Vahideh
Akaberi, Arash
Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas
title Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas
title_full Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas
title_fullStr Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas
title_full_unstemmed Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas
title_short Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas
title_sort predicting the risk of opioid use disorder based on early maladaptive schemas
topic Mental Health & Wellbeing
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818123/
https://www.ncbi.nlm.nih.gov/pubmed/29145774
http://dx.doi.org/10.1177/1557988317742230
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