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Magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors: A facility-based cross-sectional study
BACKGROUND: Stroke is emerging as a public health threat in sub-Saharan African countries including Ethiopia. Even though cognitive impairment is increasingly being recognized as a major cause of disability among stroke survivors there is a paucity of information on the magnitude of stroke-related c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246265/ https://www.ncbi.nlm.nih.gov/pubmed/37292631 http://dx.doi.org/10.21203/rs.3.rs-2852302/v1 |
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author | Zewde, Yared Alem, Atalay Seeger, Susanne K. |
author_facet | Zewde, Yared Alem, Atalay Seeger, Susanne K. |
author_sort | Zewde, Yared |
collection | PubMed |
description | BACKGROUND: Stroke is emerging as a public health threat in sub-Saharan African countries including Ethiopia. Even though cognitive impairment is increasingly being recognized as a major cause of disability among stroke survivors there is a paucity of information on the magnitude of stroke-related cognitive dysfunction in Ethiopia. Thus, we assessed the magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors. METHODS: A facility-based cross-sectional study was employed to assess the magnitude and predictor of post-stroke cognitive impairment among adult stroke survivors who came for follow-up at least 3 months after the last stoke episode from February to June 2021 in three outpatient neurology clinics in Addis Ababa, Ethiopia. We used the Montreal Cognitive Assessment Scale-Basic (MOCA-B), modified Rankin Scale (mRS), and Patient Health Questionnaire-9 (PHQ-9) to assess post-stroke cognition, functional recovery, and depression, respectively. Data were entered and analyzed using SPSS software version 25. A binary logistic regression model was employed to identify the predictors of post-stroke cognitive impairment. A p-value of 0.05 was considered statistically significant. RESULTS: Of the 79 stroke survivors approached, 67 were included. The mean (SD) age was 52.1 (12.7) years. Over half (59.7%) of the survivors were males and most (67.2%) were urban residents. The median stroke duration was 3 years ranging from 1 to 4 years. Almost half (41.8%) of stroke survivors had cognitive impairment. Increased age (AOR=0.24, 95% CI=0.07,0.83), lower education (AOR=4.02, 95% CI=1.13,14.32), and poor function recovery (mRS (3)3) (AOR=0.27, 95% CI=0.08-0.81) were predictors significantly associated with post-stroke cognitive impairment. CONCLUSION: Nearly one in two stroke survivors had cognitive impairment. The major predictors associated with cognitive decline were age above 45 years, low literacy, and poor recovery in physical function. Although causality cannot be inferred, physical rehabilitation and better education are essential in building cognitive resilience among stroke survivors. |
format | Online Article Text |
id | pubmed-10246265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-102462652023-06-08 Magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors: A facility-based cross-sectional study Zewde, Yared Alem, Atalay Seeger, Susanne K. Res Sq Article BACKGROUND: Stroke is emerging as a public health threat in sub-Saharan African countries including Ethiopia. Even though cognitive impairment is increasingly being recognized as a major cause of disability among stroke survivors there is a paucity of information on the magnitude of stroke-related cognitive dysfunction in Ethiopia. Thus, we assessed the magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors. METHODS: A facility-based cross-sectional study was employed to assess the magnitude and predictor of post-stroke cognitive impairment among adult stroke survivors who came for follow-up at least 3 months after the last stoke episode from February to June 2021 in three outpatient neurology clinics in Addis Ababa, Ethiopia. We used the Montreal Cognitive Assessment Scale-Basic (MOCA-B), modified Rankin Scale (mRS), and Patient Health Questionnaire-9 (PHQ-9) to assess post-stroke cognition, functional recovery, and depression, respectively. Data were entered and analyzed using SPSS software version 25. A binary logistic regression model was employed to identify the predictors of post-stroke cognitive impairment. A p-value of 0.05 was considered statistically significant. RESULTS: Of the 79 stroke survivors approached, 67 were included. The mean (SD) age was 52.1 (12.7) years. Over half (59.7%) of the survivors were males and most (67.2%) were urban residents. The median stroke duration was 3 years ranging from 1 to 4 years. Almost half (41.8%) of stroke survivors had cognitive impairment. Increased age (AOR=0.24, 95% CI=0.07,0.83), lower education (AOR=4.02, 95% CI=1.13,14.32), and poor function recovery (mRS (3)3) (AOR=0.27, 95% CI=0.08-0.81) were predictors significantly associated with post-stroke cognitive impairment. CONCLUSION: Nearly one in two stroke survivors had cognitive impairment. The major predictors associated with cognitive decline were age above 45 years, low literacy, and poor recovery in physical function. Although causality cannot be inferred, physical rehabilitation and better education are essential in building cognitive resilience among stroke survivors. American Journal Experts 2023-05-18 /pmc/articles/PMC10246265/ /pubmed/37292631 http://dx.doi.org/10.21203/rs.3.rs-2852302/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Zewde, Yared Alem, Atalay Seeger, Susanne K. Magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors: A facility-based cross-sectional study |
title | Magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors: A facility-based cross-sectional study |
title_full | Magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors: A facility-based cross-sectional study |
title_fullStr | Magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors: A facility-based cross-sectional study |
title_full_unstemmed | Magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors: A facility-based cross-sectional study |
title_short | Magnitude and predictors of post-stroke cognitive impairment among Ethiopian stroke survivors: A facility-based cross-sectional study |
title_sort | magnitude and predictors of post-stroke cognitive impairment among ethiopian stroke survivors: a facility-based cross-sectional study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246265/ https://www.ncbi.nlm.nih.gov/pubmed/37292631 http://dx.doi.org/10.21203/rs.3.rs-2852302/v1 |
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