ArticleBMC psychiatry2023
Predictors of short-term response and the role of heavy alcohol use in treatment of depression.
Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02520271 (ODS is a Naturalistic, Open Label, Non-randomized Follow-up Study on Depression and Related Substance Use Disorders), which is not on this map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
ODS is a Naturalistic, Open Label, Non-randomized Follow-up Study on Depression and Related Substance Use Disorders (SUD). Study Targets: Efficacy of Psychosocial Treatment, Pharmacogenetics, Inflammation Related Biomarkers
Who cites it
2 citing papers in PubMed, 0 citations in OpenAlex.
- Major depressive disorder-alcohol use disorder comorbidity: diagnosis, mechanisms and treatment.European archives of psychiatry and clinical neuroscience · 2026Review
- Psychosocial Interventions for Alcohol Use Disorder: A Review of Efficacy, Mechanisms, and Clinical Implications.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDepression 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.
methodsThe 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.
resultsIn 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.
conclusionsThe 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 registrationClinicalTrials.gov Identifier NCT02520271 (11/08/2015).
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