在埃塞俄比亚亚的斯亚贝巴Zewditu纪念医院门诊神经内科随访的门诊卒中患者卒中后抑郁的患病率及相关因素

Q1 Psychology Depression Research and Treatment Pub Date : 2022-03-22 DOI:10.1155/2022/9750035
Tsion Yehualashet Wubshet, Sisay Gizaw Geberemichael, Takle Menna Adilo, Temesgen Arusi, Muluken Gunta Gutulo, Dereje Zewdu Assefa, Mekete Wondesen Asfaw
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Data was collected through structured questionnaire using interviews and a review of medical charts. PHQ-9 depression questionnaire was used to diagnose poststroke depression. Descriptive analysis was used to see the nature of the characteristics of interests. Bivariate analysis was used to sort out variables at p values less than 0.05 for multivariate logistic regression. Significance level was obtained using an odds ratio with 95% CI and p value < 0.05. Results Point prevalence for poststroke depression was 27.5 percent. Female gender, unemployment, low social support level, diabetes mellitus, and poststroke period under 2 years were statistically significant and independent predictors for poststroke depression. Conclusions The point prevalence estimate of poststroke depression was comparable with other studies. Low social support levels increased the odds for poststroke depression by more than eight folds. 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引用次数: 2

摘要

背景脑卒中后抑郁是脑卒中后最常见、负担最重的精神并发症。研究显示,卒中后抑郁的报告频率和危险因素存在差异。最新的本地数据与卒中后抑郁筛查和预防的有效策略相关。目的了解埃塞俄比亚亚的斯亚贝巴Zewditu纪念医院神经科门诊卒中患者卒中后抑郁的患病率及其相关因素。方法对249例脑卒中患者进行机构横断面研究。数据是通过使用访谈和医学图表审查的结构化问卷收集的。采用PHQ-9抑郁量表对脑卒中后抑郁进行诊断。使用描述性分析来观察兴趣特征的性质。双变量分析用于对p值小于0.05的变量进行多变量逻辑回归。显著性水平采用95%置信区间的比值比获得,p值<0.05。结果脑卒中后抑郁积分患病率为27.5%。女性、失业、社会支持水平低、糖尿病和2年以下的卒中后时期是卒中后抑郁的统计学显著和独立预测因素。结论脑卒中后抑郁的点患病率估计与其他研究具有可比性。社会支持水平低会使中风后抑郁的几率增加八倍以上。在非洲人群中,外部因素在卒中后抑郁的发病机制中似乎更为重要。检测和预防方案应考虑卒中后抑郁发生率和危险因素的差异。
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Prevalence and Associated Factors of Poststroke Depression among Outpatient Stroke Patients Who Have a Follow-Up at the Outpatient Neurology Clinic of Zewditu Memorial Hospital in Addis Ababa, Ethiopia
Background Poststroke depression is the most common and burdensome poststroke psychiatric complication. Studies showed discrepancies in reporting frequencies and risk factors for poststroke depression. Updated local data are relevant for efficient strategies of poststroke depression screening and prevention. Objectives To determine the prevalence and associated factors of poststroke depression among outpatient stroke patients from the outpatient neurology clinic of Zewditu Memorial Hospital in Addis Ababa, Ethiopia. Methods An institution-based cross-sectional study was conducted on 249 stroke patients. Data was collected through structured questionnaire using interviews and a review of medical charts. PHQ-9 depression questionnaire was used to diagnose poststroke depression. Descriptive analysis was used to see the nature of the characteristics of interests. Bivariate analysis was used to sort out variables at p values less than 0.05 for multivariate logistic regression. Significance level was obtained using an odds ratio with 95% CI and p value < 0.05. Results Point prevalence for poststroke depression was 27.5 percent. Female gender, unemployment, low social support level, diabetes mellitus, and poststroke period under 2 years were statistically significant and independent predictors for poststroke depression. Conclusions The point prevalence estimate of poststroke depression was comparable with other studies. Low social support levels increased the odds for poststroke depression by more than eight folds. It appeared that external factors are more important in the pathogenesis of poststroke depression in the African population. Detection and prevention programs should consider disparities of poststroke depression incidence and risk factors.
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来源期刊
Depression Research and Treatment
Depression Research and Treatment Psychology-Clinical Psychology
CiteScore
8.80
自引率
0.00%
发文量
8
审稿时长
10 weeks
期刊最新文献
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