Evidence map›Paper›PMID 40063160›Full record

ArticleDiscover mental health2025

Depression and associated factors among people with epilepsy at Wolaita Sodo University Hospital, South Ethiopia.

Tamene Berhanu, Niguse Yigzaw, Seblewongel Tinsae, Yohannes Mirkena, Asegid Belete

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In one paragraph

Article in Discover mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tamene BerhanuCollege of Medicine and Health Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia. tamenebirhanu2013@gmail.com.
Niguse YigzawDepartments of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Seblewongel TinsaeDepartments of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Yohannes MirkenaDepartments of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Asegid BeleteCollege of Medicine and Health Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpilepsy is one of the most common neurological disorders in the world and contributes to various psychiatric illnesses. Depression is one of the most frequent comorbid psychiatric disorders that affect the quality of life in people with epilepsy. Despite this impact, depression continues to be under-recognized and undertreated. Therefore, this study aimed to assess the magnitude of depression and its associated factors among people with epilepsy at Wolaita Sodo University Hospital, South Ethiopia, 2021.

methodsA hospital-based cross-sectional study was conducted from April 2021 to May 2021. A systematic random sampling technique was used to select 423 samples of people with epilepsy, and interviewer-administered structured questionnaires were employed. The Patient Health Questionnaire with 9 items was used to assess depression. A logistic regression model was used to determine the association between the outcome and independent variables. A 95% CI and odds ratio with a corresponding p-value < 0.05 were used to determine the strength of association.

resultThe overall magnitude of depression among people with epilepsy in this study was 49.2%. Educational status; unable to read and write (AOR = 3.43, 95% CI 1.09, 10.7), being female (AOR = 2.54, 95% CI 1.43, 4.52), perceived stigma (AOR = 5.96, 95% CI 2.88, 12.3), poor social support (AOR = 2.88, 95% CI 1.28, 6.48), poor medication adherence (AOR = 4.60, 95% CI 2.46, 8.63), and seizure frequency above 5 times per month (AOR = 5.59, 95% CI 1.72, 18.1) were independent predictors of depression among people with epilepsy at p-value < 0.05. CONCLUSION AND RECOMMENDATION: In this study nearly half of the people with epilepsy had depression. Educational status; inability to read and write, being female, perceived stigma, poor social support, poor medication adherence, and seizure frequency of above 5 times per month were independent predictors of depression among people with epilepsy. Therefore, screening depression in people with epilepsy and appropriate management critically needed attention to reduce the effects of the problems.

Indexed as

DepressionEpilepsySouth EthiopiaWolaita Sodo

Identifiers

PMID40063160
PMCPMC11893959

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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.