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约旦的中风后抑郁症:患病率、相关因素及预测指标

Post-Stroke Depression in Jordan: Prevalence Correlates and Predictors.

作者信息

Ayasrah Shahnaz Mohammed, Ahmad Muayyad M, Basheti Iman Amin

机构信息

Department of Applied Science/Nursing, Al-Balqa Applied University, Al-Salt, Jordan.

Clinical Nursing Department, School of Nursing, University of Jordan, Amman, Jordan.

出版信息

J Stroke Cerebrovasc Dis. 2018 May;27(5):1134-1142. doi: 10.1016/j.jstrokecerebrovasdis.2017.11.027. Epub 2017 Dec 27.

Abstract

BACKGROUND

Post-stroke depression is among the most frequent neuropsychiatric complications of stroke, and it is associated with poor prognosis and outcomes. This study aimed to assess the prevalence of depression; its correlates, and predictors among patients with stroke in Jordan.

METHODS

A cross-sectional, descriptive correlation design was used among 198 patients with stroke admitted to 9 hospitals all over Jordan. Depression was assessed using the validated hospital depression subscale (HDS) of the Hospital Anxiety and Depression scale.

RESULTS

Study patients (mean age 56.62 years [SD = 14.2], 53% were males) experienced high prevalence of depression (76%); of these, 51.6% were categorized as higher depression category (a case of depression; HDS = 11-21). Factors that correspondingly predicted higher depression categories were low level of education (odds ratio [OR] = 3.347, 95% confidence interval [CI] = 2.920-23.949, P < .001), having a preparatory level of education (OR = 8.363, 95% CI = 1.24-9.034, P = .017), having comorbid chronic diseases (OR = .401, 95% CI = .190-.847), being a smoker (OR = 2.488, 95% CI = 1.105-5.604, P = .028), patients who reported inability to perform daily activities by themselves (OR = 3.688, 95% CI = 1.746-7.790, P = .001), and patients with comorbid dysphasia (OR = 12.884, 95% CI = 4.846-34.25, P < .001).

CONCLUSIONS

Post-stroke depression is a significant health problem among Jordanian patients with stroke and warrants serious attention. Clinicians need to consider these important predictors when assessing and managing depression among patients at risk.

摘要

背景

中风后抑郁是中风最常见的神经精神并发症之一,且与预后不良相关。本研究旨在评估约旦中风患者中抑郁的患病率、相关因素及预测因素。

方法

对约旦各地9家医院收治的198例中风患者采用横断面描述性相关设计。使用医院焦虑抑郁量表中经验证有效的医院抑郁子量表(HDS)评估抑郁情况。

结果

研究患者(平均年龄56.62岁[标准差=14.2],53%为男性)抑郁患病率较高(76%);其中,51.6%被归类为较高抑郁类别(抑郁病例;HDS=11 - 21)。相应预测较高抑郁类别的因素包括低教育水平(比值比[OR]=3.347,95%置信区间[CI]=2.920 - 23.949,P<.001)、具有预科教育水平(OR=8.363,95%CI=1.24 - 9.034,P=.017)、患有慢性合并症(OR=.401,95%CI=.190 -.847)、吸烟(OR=2.488,95%CI=1.105 - 5.604,P=.028)、报告无法自行进行日常活动的患者(OR=3.688,95%CI=1.746 - 7.790,P=.001)以及合并言语困难的患者(OR=12.884,95%CI=4.846 - 34.25,P<.001)。

结论

中风后抑郁是约旦中风患者中的一个重要健康问题,值得严重关注。临床医生在评估和管理有风险患者的抑郁时需要考虑这些重要的预测因素。

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