Wubshet Tsion Yehualashet, Geberemichael Sisay Gizaw, Adilo Takle Menna, Arusi Temesgen Tantu, Gutulo Muluken Gunta, Assefa Dereje Zewdu, Asfaw Mekete Wondesen
St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Wolkite University College of Medicine and Health Sciences, Ethiopia.
Depress Res Treat. 2022 Mar 22;2022:9750035. doi: 10.1155/2022/9750035. eCollection 2022.
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.
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.
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 values less than 0.05 for multivariate logistic regression. Significance level was obtained using an odds ratio with 95% CI and value < 0.05.
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.
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.
中风后抑郁是中风后最常见且负担沉重的精神并发症。研究表明，中风后抑郁的报告频率和危险因素存在差异。更新本地数据对于中风后抑郁筛查和预防的有效策略至关重要。
确定埃塞俄比亚亚的斯亚贝巴泽韦迪图纪念医院门诊神经科中风门诊患者中中风后抑郁的患病率及相关因素。
对249名中风患者进行了一项基于机构的横断面研究。通过结构化问卷采用访谈和查阅病历收集数据。使用PHQ - 9抑郁问卷诊断中风后抑郁。描述性分析用于观察感兴趣特征的性质。二元分析用于筛选出多变量逻辑回归中P值小于0.05的变量。使用比值比及95%置信区间和P值<0.05获得显著性水平。
中风后抑郁的点患病率为27.5%。女性、失业、社会支持水平低、糖尿病以及中风后病程小于2年是中风后抑郁的统计学显著且独立的预测因素。
中风后抑郁的点患病率估计与其他研究相当。社会支持水平低使中风后抑郁的几率增加了八倍多。在非洲人群中，外部因素在中风后抑郁的发病机制中似乎更为重要。检测和预防项目应考虑中风后抑郁发病率和危险因素的差异。
