Evidence map›Paper›PMID 37123327›Full record

ArticleMedical journal of the Islamic Republic of Iran2023

Comorbidities of Major Depressive Disorder and Bipolar Disorders in Patients with Substance Use Disorder in Iran Psychiatric Hospital: A Cross-sectional Study.

Mahsa Oladikalarijani, Amir Shabani, Shiva Soraya, Hamidreza Ahmadkhaniha

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Article in Medical journal of the Islamic Republic of Iran, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Mahsa OladikalarijaniDepartment of Psychiatry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-2740-1990
Amir ShabaniMental Health Research Centre, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Shiva SorayaResearch Center of Addiction and Risky Behavior, Department of Psychiatry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Hamidreza AhmadkhanihaResearch Center of Addiction and Risky Behavior, Department of Psychiatry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mood disorders are the most common psychiatric comorbidities in substance users. Mood disorders and substance use disorders are 2 intertwined processes in which treating one aid in treating the other. Depression and substance use disorder are now regarded as major mental health issues due to their widespread incidence. The study was designed to investigate the prevalence of major depressive disorder (MDD) and bipolar I and II disorders in patients with substance use disorder. Methods: The participants of this cross-sectional study were 320 patients with substance use disorder based on the DSM-5 (diagnostic and statistical manual of mental disorders 5th edition) criteria in Iran Psychiatric Hospital in 2020, who were assessed using the SCID-5-CV (Structured Clinical Interview for DSM-5 disorders-clinician version), and the demographic and clinical variables questionnaire considering familial and substance use history. The chi-square, Fisher, independent t test, and logistic regression were used to analyze the data. Results: Of the patients, 32.8% (n = 105) had mood disorders. The most common mood disorder was MDD (16.9%, n = 54), followed by bipolar I (12.5%, n = 40) and bipolar II (2.8%, n = 9) disorders. Methamphetamine was the most commonly used substance (47.5%, n = 152). Also, 62.5% (n = 200) of participants consumed 2 or more substances simultaneously. The chance of having a mood disorder in married and divorced patients was 2.12 and 2.04 times more than in single patients, respectively. Conclusion: The lifetime prevalence of bipolar I disorder in patients with substance use disorders is several times more than the general population, thus psychiatrists should pay more attention to mood comorbidities diagnosis and treatment in substance users.

Indexed as

ComorbidityMood DisordersSubstance Use Disorder

Identifiers

PMID37123327
PMCPMC10134100
OpenAlexW4327952728

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.