Kumar Rajesh, Kataria Neetu, Kumar Niraj, Kumar Mritunjai, Bahurupi Yogesh
Assistant Professor, College of Nursing, Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India.
PhD Scholar, College of Nursing, Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India.
J Family Med Prim Care. 2020 Jul 30;9(7):3508-3513. doi: 10.4103/jfmpc.jfmpc_444_20. eCollection 2020 Jul.
Stroke is a leading cause of long-term disability and loss of productive life in developing countries, including India. Ischemic stroke accounts for 85% of all types of stroke with a prevalence of 5%-15% among acute stroke incidents. The prevalence of poststroke depression among acute stroke survivors is varied from 5 to 54%. The study focused on depression among stroke survivors who actively involved in a home-based rehabilitation.
A descriptive cross-sectional survey was conducted by enrolling 138 stroke survivors consecutively at tertiary care public hospital, North India. A sociodemographic and clinical profile sheet was used to seek information on personal and clinical variables. Information on disability, depression, performance in the activity of daily living, and degree of stroke severity was ascertained by using the Modified Rankin Scale (MRS), Physical Health Questionnaire (PHQ-9), Barthel Index, and National Institutes of Health Stroke (NIHSS). After binary logistic regression model, a multivariate logistic regression was applied to detect the independent predictor of depression.
Over 86% (119) of the stroke survivors had no symptoms of depression, and only 14% (19) were reported to have symptoms of depression. Poststroke depression found significant association with disability ( = 0.029) and functional independence ( = 0.0001). A significant difference was observed in the gender ( = 0.018), types of stroke ( = 0.0001), and location of lesion ( = 0.0001) with depression. Binary logistic regression model shows that disability (MRS) status of stroke survivor ( < 0.0001; 95% CI 1.998-2.638) and functional independence (BI) ( < 0.0001; 95% CI -0.034-0.020) are same as independent predictors for depression.
Clinician should use the community reintegration, referral, and mandatory screening of the stroke survivors at follow-up visit to rule out the probability of occurrence of poststroke depression.
在包括印度在内的发展中国家，中风是导致长期残疾和丧失生产性生活能力的主要原因。缺血性中风占所有类型中风的85%，在急性中风事件中的患病率为5%-15%。急性中风幸存者中中风后抑郁症的患病率在5%至54%之间。该研究聚焦于积极参与家庭康复的中风幸存者中的抑郁症情况。
在印度北部的一家三级护理公立医院，连续招募了138名中风幸存者，进行了一项描述性横断面调查。使用一份社会人口统计学和临床概况表来获取有关个人和临床变量的信息。通过使用改良Rankin量表（MRS）、身体健康问卷（PHQ-9）、Barthel指数和美国国立卫生研究院中风量表（NIHSS）来确定有关残疾、抑郁、日常生活活动表现和中风严重程度的信息。在二元逻辑回归模型之后，应用多变量逻辑回归来检测抑郁症的独立预测因素。
超过86%（119名）的中风幸存者没有抑郁症状，只有14%（19名）报告有抑郁症状。中风后抑郁症与残疾（P = 0.
