{"title":"南埃塞俄比亚Wolaita Sodo大学医院癫痫患者的抑郁及相关因素","authors":"Tamene Berhanu, Niguse Yigzaw, Seblewongel Tinsae, Yohannes Mirkena, Asegid Belete","doi":"10.1007/s44192-025-00161-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Epilepsy 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.</p><p><strong>Methods: </strong>A 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.</p><p><strong>Result: </strong>The 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.</p><p><strong>Conclusion and recommendation: </strong>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.</p>","PeriodicalId":72827,"journal":{"name":"Discover mental health","volume":"5 1","pages":"33"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893959/pdf/","citationCount":"0","resultStr":"{\"title\":\"Depression and associated factors among people with epilepsy at Wolaita Sodo University Hospital, South Ethiopia.\",\"authors\":\"Tamene Berhanu, Niguse Yigzaw, Seblewongel Tinsae, Yohannes Mirkena, Asegid Belete\",\"doi\":\"10.1007/s44192-025-00161-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Epilepsy 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.</p><p><strong>Methods: </strong>A 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.</p><p><strong>Result: </strong>The 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.</p><p><strong>Conclusion and recommendation: </strong>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.</p>\",\"PeriodicalId\":72827,\"journal\":{\"name\":\"Discover mental health\",\"volume\":\"5 1\",\"pages\":\"33\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893959/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Discover mental health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s44192-025-00161-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover mental health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s44192-025-00161-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:癫痫是世界上最常见的神经系统疾病之一,是导致多种精神疾病的原因之一。抑郁症是影响癫痫患者生活质量的最常见的共病精神障碍之一。尽管有这些影响,抑郁症仍然未得到充分认识和治疗。因此,本研究旨在评估2021年南埃塞俄比亚Wolaita Sodo大学医院癫痫患者的抑郁程度及其相关因素。方法:于2021年4月至2021年5月进行以医院为基础的横断面研究。采用系统随机抽样的方法,抽取423例癫痫患者样本,采用访谈者管理的结构化问卷。采用包含9个项目的《患者健康问卷》进行抑郁评估。采用logistic回归模型确定结果与自变量之间的关系。95% CI和比值比与相应的p值结果:本研究中癫痫患者抑郁的总体程度为49.2%。教育状况;无法读取和写入(AOR = 3.43, 95% CI 1.09, 10.7),女性(AOR = 2.54, 95% CI 1.43, 4.52),感知病耻感(优势比= 5.96,95% CI 2.88, 12.3),可怜的社会支持(优势比= 2.88,95% CI 1.28, 6.48),可怜的药物依从性(优势比= 4.60,95% CI 2.46, 8.63),每月5次以上和癫痫发作频率(优势比= 5.59,95% CI 1.72, 18.1)是在癫痫患者中抑郁的独立预测指标假定值结论和建议:在这项研究中,近一半的癫痫患者患有抑郁症。教育状况;没有读写能力、女性、感觉耻辱、缺乏社会支持、药物依从性差以及每月发作频率超过5次是癫痫患者抑郁的独立预测因素。因此,筛查癫痫患者的抑郁症和适当的管理是迫切需要关注的,以减少问题的影响。
Depression and associated factors among people with epilepsy at Wolaita Sodo University Hospital, South Ethiopia.
Background: Epilepsy 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.
Methods: A 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.
Result: The 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.