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Predictors of short-term response and the role of heavy alcohol use in treatment of depression

BACKGROUND: Depression and alcohol use disorders frequently co-occur. However, research on psychosocial interventions for treating this dual pathology is limited. The Ostrobothnian Depression Study (ODS) aimed to increase the systematic use of evidence-based methods, particularly among patients with...

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Autores principales: Luoto, Kaisa E., Lassila, Antero, Leinonen, Esa, Kampman, Olli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680330/
https://www.ncbi.nlm.nih.gov/pubmed/38012573
http://dx.doi.org/10.1186/s12888-023-05366-8
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author Luoto, Kaisa E.
Lassila, Antero
Leinonen, Esa
Kampman, Olli
author_facet Luoto, Kaisa E.
Lassila, Antero
Leinonen, Esa
Kampman, Olli
author_sort Luoto, Kaisa E.
collection PubMed
description BACKGROUND: Depression and alcohol use disorders frequently co-occur. However, research on psychosocial interventions for treating this dual pathology is limited. The Ostrobothnian Depression Study (ODS) aimed to increase the systematic use of evidence-based methods, particularly among patients with comorbid depression and substance use in a naturalistic setting. This is a secondary analysis of the ODS study. The aim of the present study was to explore the predictors of a response to treatment during the first six months of the ODS intervention with a specific focus on the role of comorbid heavy alcohol use. METHODS: The study sample (n = 242) comprised psychiatric specialist care patients with depression (Beck Depression Inventory score ≥ 17) at baseline. Patients with a baseline Alcohol Use Disorders Identification Test (AUDIT) score > 10 (n = 99) were assigned to the AUD (Alcohol Use Disorder) group in this study. The ODS intervention comprised behavioral activation (BA) for all and additional motivational interviewing (MI) for those in AUD group. The predictors of response to treatment (minimum of 50% reduction in depressive symptoms) during the first six months were analyzed with logistic regression models. RESULTS: In the total sample at six months (n = 150), predictors of response to treatment were more severe depression (OR 1.10, CI 1.02–1.18), larger amounts of alcohol consumed (OR = 1.16, CI 1.03–1.31) and antipsychotic medication “not in use” (OR = 0.17, CI 0.07–0.44). In the non-AUD group (n = 100), more severe depression (OR 1.12, CI 1.01–1.25) and antipsychotics “not in use” (OR 0.20, CI 0.06–0.67) also predicted a positive response. Among AUD group patients (n = 50), larger amounts of alcohol consumed (OR 1.54, CI 1.04–2.27) and antipsychotic medication “not in use” (OR 0.12, CI 0.02–0.60) predicted a response to the treatment intervention. CONCLUSIONS: The severity of symptoms and comorbid disorders were found to predict better treatment response, suggesting that the intervention was more effective in patients with severe symptoms. Patients with depression should be treated effectively regardless of having concomitant AUD. The results of this study suggest that BA combined with MI should be one of the treatment options for this dual pathology. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT02520271 (11/08/2015).
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spelling pubmed-106803302023-11-27 Predictors of short-term response and the role of heavy alcohol use in treatment of depression Luoto, Kaisa E. Lassila, Antero Leinonen, Esa Kampman, Olli BMC Psychiatry Research BACKGROUND: Depression and alcohol use disorders frequently co-occur. However, research on psychosocial interventions for treating this dual pathology is limited. The Ostrobothnian Depression Study (ODS) aimed to increase the systematic use of evidence-based methods, particularly among patients with comorbid depression and substance use in a naturalistic setting. This is a secondary analysis of the ODS study. The aim of the present study was to explore the predictors of a response to treatment during the first six months of the ODS intervention with a specific focus on the role of comorbid heavy alcohol use. METHODS: The study sample (n = 242) comprised psychiatric specialist care patients with depression (Beck Depression Inventory score ≥ 17) at baseline. Patients with a baseline Alcohol Use Disorders Identification Test (AUDIT) score > 10 (n = 99) were assigned to the AUD (Alcohol Use Disorder) group in this study. The ODS intervention comprised behavioral activation (BA) for all and additional motivational interviewing (MI) for those in AUD group. The predictors of response to treatment (minimum of 50% reduction in depressive symptoms) during the first six months were analyzed with logistic regression models. RESULTS: In the total sample at six months (n = 150), predictors of response to treatment were more severe depression (OR 1.10, CI 1.02–1.18), larger amounts of alcohol consumed (OR = 1.16, CI 1.03–1.31) and antipsychotic medication “not in use” (OR = 0.17, CI 0.07–0.44). In the non-AUD group (n = 100), more severe depression (OR 1.12, CI 1.01–1.25) and antipsychotics “not in use” (OR 0.20, CI 0.06–0.67) also predicted a positive response. Among AUD group patients (n = 50), larger amounts of alcohol consumed (OR 1.54, CI 1.04–2.27) and antipsychotic medication “not in use” (OR 0.12, CI 0.02–0.60) predicted a response to the treatment intervention. CONCLUSIONS: The severity of symptoms and comorbid disorders were found to predict better treatment response, suggesting that the intervention was more effective in patients with severe symptoms. Patients with depression should be treated effectively regardless of having concomitant AUD. The results of this study suggest that BA combined with MI should be one of the treatment options for this dual pathology. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT02520271 (11/08/2015). BioMed Central 2023-11-27 /pmc/articles/PMC10680330/ /pubmed/38012573 http://dx.doi.org/10.1186/s12888-023-05366-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Luoto, Kaisa E.
Lassila, Antero
Leinonen, Esa
Kampman, Olli
Predictors of short-term response and the role of heavy alcohol use in treatment of depression
title Predictors of short-term response and the role of heavy alcohol use in treatment of depression
title_full Predictors of short-term response and the role of heavy alcohol use in treatment of depression
title_fullStr Predictors of short-term response and the role of heavy alcohol use in treatment of depression
title_full_unstemmed Predictors of short-term response and the role of heavy alcohol use in treatment of depression
title_short Predictors of short-term response and the role of heavy alcohol use in treatment of depression
title_sort predictors of short-term response and the role of heavy alcohol use in treatment of depression
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680330/
https://www.ncbi.nlm.nih.gov/pubmed/38012573
http://dx.doi.org/10.1186/s12888-023-05366-8
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