Epidemiology of neurodegenerative diseases in the East African region: A meta-analysis
IntroductionThere is a scarcity of epidemiological data on neurodegenerative diseases (NDs) in East Africa. This meta-analysis provides the regional prevalence of NDs, their contributing factors, and evidence of change over time concerning gender per age or year.MethodsArticles were retrieved from e...
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Frontiers Media S.A.
2022-11-01
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Series: | Frontiers in Neurology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2022.1024004/full |
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author | Hope Onohuean Hope Onohuean Abraham Olutumininu Akiyode Oluwole Akiyode Oluwole Akiyode Sharon Iyobor Igbinoba Sharon Iyobor Igbinoba Sharon Iyobor Igbinoba Abdullateef Isiaka Alagbonsi |
author_facet | Hope Onohuean Hope Onohuean Abraham Olutumininu Akiyode Oluwole Akiyode Oluwole Akiyode Sharon Iyobor Igbinoba Sharon Iyobor Igbinoba Sharon Iyobor Igbinoba Abdullateef Isiaka Alagbonsi |
author_sort | Hope Onohuean |
collection | DOAJ |
description | IntroductionThere is a scarcity of epidemiological data on neurodegenerative diseases (NDs) in East Africa. This meta-analysis provides the regional prevalence of NDs, their contributing factors, and evidence of change over time concerning gender per age or year.MethodsArticles were retrieved from electronic databases following the PRISMA standard.ResultsForty-two studies were reviewed, and 25 were meta-analyzed with a random-effects model. The pool estimate proportion of 15.27%, 95% CI (0.09–0.23) (I2 = 98.25%), (Q = 1,369.15, p < 0.0001) among a population of 15,813 male/female and 1,257 with NDs. Epidemiological characteristics associated with NDs include Dyskinesias prevalence 55.4%, 95% CI (13.5; 90.9), I2 (96%) and subsistence farming prevalence 11.3%, 95% CI (5.8; 20.9), I2 (99%). Publication bias by Egger test was (z = 4.1913, p < 0.0001), while rank correlation test using Kendall's model was (tau = 0.1237, p = 0.3873). Heterogeneity (R2 design = 5.23%, p design < 0.0001; R2 size = 52.163%, p size < 0.001; and R2 period = 48.13, p period < 0.0001. Covariates (R2 design + size + period = 48.41%, p < 0.001).ConclusionThere is a high prevalence of NDs in the East African region, which could impact life expectancy, morbidity, and quality of life. Thus, early screening and regular surveillance could assist in management strategies. |
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language | English |
last_indexed | 2024-04-11T14:38:01Z |
publishDate | 2022-11-01 |
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spelling | doaj.art-fc278bd3e7ca4ae5835ac4c4a4b75c7d2022-12-22T04:18:17ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-11-011310.3389/fneur.2022.10240041024004Epidemiology of neurodegenerative diseases in the East African region: A meta-analysisHope Onohuean0Hope Onohuean1Abraham Olutumininu Akiyode2Oluwole Akiyode3Oluwole Akiyode4Sharon Iyobor Igbinoba5Sharon Iyobor Igbinoba6Sharon Iyobor Igbinoba7Abdullateef Isiaka Alagbonsi8Biopharmaceutics Unit, Department of Pharmacology and Toxicology, Kampala International University Western Campus, Ishaka, UgandaBiomolecules, Metagenomics, Endocrine and Tropical Disease Research Group (BMETDREG), Kampala International University Western Campus, Ishaka, UgandaDepartment of Biology, College of Arts and Sciences, University of Texas of the Permian Odessa, TX, United StatesBiomolecules, Metagenomics, Endocrine and Tropical Disease Research Group (BMETDREG), Kampala International University Western Campus, Ishaka, UgandaBiological and Environmental Sciences Department, Kampala International University, Kampala, UgandaBiopharmaceutics Unit, Department of Pharmacology and Toxicology, Kampala International University Western Campus, Ishaka, UgandaBiomolecules, Metagenomics, Endocrine and Tropical Disease Research Group (BMETDREG), Kampala International University Western Campus, Ishaka, UgandaDepartment of Clinical Pharmacy and Pharmacy Administration, Faculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Osun State, NigeriaDepartment of Clinical Biology (Physiology Unit), School of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda, Huye, RwandaIntroductionThere is a scarcity of epidemiological data on neurodegenerative diseases (NDs) in East Africa. This meta-analysis provides the regional prevalence of NDs, their contributing factors, and evidence of change over time concerning gender per age or year.MethodsArticles were retrieved from electronic databases following the PRISMA standard.ResultsForty-two studies were reviewed, and 25 were meta-analyzed with a random-effects model. The pool estimate proportion of 15.27%, 95% CI (0.09–0.23) (I2 = 98.25%), (Q = 1,369.15, p < 0.0001) among a population of 15,813 male/female and 1,257 with NDs. Epidemiological characteristics associated with NDs include Dyskinesias prevalence 55.4%, 95% CI (13.5; 90.9), I2 (96%) and subsistence farming prevalence 11.3%, 95% CI (5.8; 20.9), I2 (99%). Publication bias by Egger test was (z = 4.1913, p < 0.0001), while rank correlation test using Kendall's model was (tau = 0.1237, p = 0.3873). Heterogeneity (R2 design = 5.23%, p design < 0.0001; R2 size = 52.163%, p size < 0.001; and R2 period = 48.13, p period < 0.0001. Covariates (R2 design + size + period = 48.41%, p < 0.001).ConclusionThere is a high prevalence of NDs in the East African region, which could impact life expectancy, morbidity, and quality of life. Thus, early screening and regular surveillance could assist in management strategies.https://www.frontiersin.org/articles/10.3389/fneur.2022.1024004/fullepidemiologypotentialsneurodegenerative diseasesEast Africameta-analysis |
spellingShingle | Hope Onohuean Hope Onohuean Abraham Olutumininu Akiyode Oluwole Akiyode Oluwole Akiyode Sharon Iyobor Igbinoba Sharon Iyobor Igbinoba Sharon Iyobor Igbinoba Abdullateef Isiaka Alagbonsi Epidemiology of neurodegenerative diseases in the East African region: A meta-analysis Frontiers in Neurology epidemiology potentials neurodegenerative diseases East Africa meta-analysis |
title | Epidemiology of neurodegenerative diseases in the East African region: A meta-analysis |
title_full | Epidemiology of neurodegenerative diseases in the East African region: A meta-analysis |
title_fullStr | Epidemiology of neurodegenerative diseases in the East African region: A meta-analysis |
title_full_unstemmed | Epidemiology of neurodegenerative diseases in the East African region: A meta-analysis |
title_short | Epidemiology of neurodegenerative diseases in the East African region: A meta-analysis |
title_sort | epidemiology of neurodegenerative diseases in the east african region a meta analysis |
topic | epidemiology potentials neurodegenerative diseases East Africa meta-analysis |
url | https://www.frontiersin.org/articles/10.3389/fneur.2022.1024004/full |
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