Akin Ojagbemi1, Rufus Akinyemi2, Olusegun Baiyewu1. 1. Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria. 2. Division of Neurology, Department of Medicine, Federal Medical Centre, Abeokuta, Nigeria.
Abstract
BACKGROUND: The frequency and predictors of post-stroke depression diagnosed according to codified criteria remain unknown in Nigeria. OBJECTIVES: We report on the predictors of post-stroke major depressive disorder (MDD) in Nigeria using standardized assessment methods. METHOD: Using a case-control design, we consecutively recruited 260 participants. Among them were 130 stroke survivors attending rehabilitation. Along with historical details, an exploration for MDD meeting criteria in the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders was carried out using a semi-structured interview. Cognition was assessed using both the Mini Mental State Examination and the modified Indiana University Token test, while disability was assessed using the modified Rankin Scale. Associations were explored using univariate and multivariate analyses. RESULTS: The diagnosis of MDD was more frequently present in the stroke survivors (41.5%, p < 0.001). It was strongly associated with female gender (p < 0.001, O.R = 3.77, 95% C.I = 1.78-8.00), disability (p = 0.001, O.R = 3.27, 95% C.I = 1.57-6.83), and cognitive dysfunction (p < 0.001, O.R = 5.28, 95% C.I = 2.25-12.41). Female gender (p = 0.037, O.R = 2.65, 95% C.I = 1.06-6.62) and cognitive dysfunction (P = 0.03, O.R = 4.58, 95% C.I = 1.68-12.46) were independent predictors of post-stroke MDD. CONCLUSION: Post stroke MDD is common in Nigerian survivors attending rehabilitation. The high rates reported in this population may be the result of factors affecting the efficient management of stroke in developing countries.
BACKGROUND: The frequency and predictors of post-stroke depression diagnosed according to codified criteria remain unknown in Nigeria. OBJECTIVES: We report on the predictors of post-stroke major depressive disorder (MDD) in Nigeria using standardized assessment methods. METHOD: Using a case-control design, we consecutively recruited 260 participants. Among them were 130 stroke survivors attending rehabilitation. Along with historical details, an exploration for MDD meeting criteria in the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders was carried out using a semi-structured interview. Cognition was assessed using both the Mini Mental State Examination and the modified Indiana University Token test, while disability was assessed using the modified Rankin Scale. Associations were explored using univariate and multivariate analyses. RESULTS: The diagnosis of MDD was more frequently present in the stroke survivors (41.5%, p < 0.001). It was strongly associated with female gender (p < 0.001, O.R = 3.77, 95% C.I = 1.78-8.00), disability (p = 0.001, O.R = 3.27, 95% C.I = 1.57-6.83), and cognitive dysfunction (p < 0.001, O.R = 5.28, 95% C.I = 2.25-12.41). Female gender (p = 0.037, O.R = 2.65, 95% C.I = 1.06-6.62) and cognitive dysfunction (P = 0.03, O.R = 4.58, 95% C.I = 1.68-12.46) were independent predictors of post-stroke MDD. CONCLUSION: Post stroke MDD is common in Nigerian survivors attending rehabilitation. The high rates reported in this population may be the result of factors affecting the efficient management of stroke in developing countries.
Authors: Fred Stephen Sarfo; Manolo Agbenorku; Sheila Adamu; Vida Obese; Patrick Berchie; Bruce Ovbiagele Journal: J Neurol Sci Date: 2019-07-23 Impact factor: 3.181
Authors: Gabrielle M Harris; Janice Collins-McNeil; Qing Yang; Vu Q C Nguyen; Mark A Hirsch; Charles F Rhoads; Tami Guerrier; J George Thomas; Terrence M Pugh; Deanna Hamm; Carol Pereira; Janet Prvu Bettger Journal: J Stroke Cerebrovasc Dis Date: 2016-10-06 Impact factor: 2.136