Prevalence and associated factors of post-stroke depression among patients on follow-up at medical referral clinics of Bahir Dar city public specialized hospitals

被引:1
作者
Debebe, Ermiyas Yemane [1 ]
Biyadgie, Mulugeta [2 ]
Chekol, Hanamariam Abebe [3 ]
Asmare, Lakew [4 ]
Yigzaw, Zeamanuel Anteneh [5 ]
机构
[1] Eka Kotebe Gen Hosp, Dept Internal Med, Addis Ababa, Ethiopia
[2] Bahir Dar Univ, Coll Med & Hlth Sci, Dept Internal Med, Bahir Dar, Ethiopia
[3] ALERT Comprehens Specialized Hosp, Dept Dermatovenerol, Addis Ababa, Ethiopia
[4] Univ Gondar, Inst Publ Hlth, Coll Med & Hlth Sci, Dept Epidemiol & Biostat, Gondar, Ethiopia
[5] Bahir Dar Univ, Coll Med & Hlth Sci, Sch Publ Hlth, Dept Hlth Promot & Behav Sci, Bahir Dar, Ethiopia
关键词
Stroke; Post-stroke depression; Medical referral clinic; Bahir Dar;
D O I
10.1186/s12883-024-03974-9
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BackgroundPost-stroke depression is among the most common neuropsychiatric complications in stroke survivors. Post-stroke depression is commonly under-recognized and under-treated. This study aimed to assess the prevalence and associated factors of post-stroke depression among patients on follow-up at medical referral clinics of Bahir Dar City public specialized hospitals.MethodAn institutional-based prospective cross-sectional study was conducted from September to December 2023 on 394 patients. Public Health Questionnaire-9 was used to diagnose depression. Data was checked for cleanness manually and then exported to SPSS version 25 software for analysis. A systematic randomized sampling method was used to identify study participants. Bivariate and multivariate logistic regression analysis was performed to identify independent predictors of post-stroke depression. A p-value less than 0.05 is considered as significant with a 95% confidence interval.ResultThe overall prevalence of post-stroke depression was found to be 42.9%. Employment status (AOR = 0.282, 95% CI: 0.112-0.709 C, P-value = 0.007), depression before stroke (AOR = 3.237, 95% CI: 1.098-9.544, P-value = 0.033), ischemic heart disease (AOR = 4.090, 95% CI: 1.745-9.583, P-value = 0.001) and physical disability (AOR = 4.051 95% CI: 2.239-7.332, P-value = 0.000) were found to be statistically significant independent predictors of post-stroke depression (PSD).ConclusionThe prevalence of post-stroke depression was found to be high relative to other similar studies. Patients with known depression before stroke, ischemic heart disease, and significant physical disability were at a higher risk of developing PSD. Employed patients had less risk of developing PSD. Sufficient and comprehensive evaluation of stroke patients for depression is recommended.
引用
收藏
页数:9
相关论文
共 38 条
[31]  
Shi Y, 2017, Risk factors for post-stroke depression: a meta-analysis, V9, P218
[32]   Prevalence of pre-stroke depression and its association with post-stroke depression: a systematic review and meta-analysis [J].
Taylor-Rowan, Martin ;
Momoh, Oyiza ;
Ayerbe, Luis ;
Evans, Jonathan J. ;
Stott, David J. ;
Quinn, Terence J. .
PSYCHOLOGICAL MEDICINE, 2019, 49 (04) :685-696
[33]   Poststroke Depression A Scientific Statement for Healthcare Professionals From the American Heart Association/American Stroke Association [J].
Towfighi, Amytis ;
Ovbiagele, Bruce ;
El Husseini, Nada ;
Hackett, Maree L. ;
Jorge, Ricardo E. ;
Kissela, Brett M. ;
Mitchell, Pamela H. ;
Skolarus, Lesli E. ;
Whooley, Mary A. ;
Williams, Linda S. .
STROKE, 2017, 48 (02) :E30-E43
[34]  
Tsehayneh F., 2020, High Preval Poststroke Depress Ischemic Stroke Patients Ethiopia, V2020, P8834299
[35]  
Wade S, 2018, Harrison's Principles of Internal Medicine, P3068
[36]  
Wang EY, 2018, Evaluating screening tests for depression in post-stroke older adults, V31, P129
[37]  
Worku S., 2021, Prevalence of depression and associated factors among post stroke patients at St Paul
[38]  
Wubshet TY, 2022, 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