Cargando…
An estimate of the prevalence of epilepsy in Sub–Saharan Africa: A systematic analysis
BACKGROUND: Epilepsy is a leading serious neurological condition worldwide and has particularly significant physical, economic and social consequences in Sub–Saharan Africa. This paper aims to contribute to the understanding of epilepsy prevalence in this region and how this varies by age and sex so...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Edinburgh University Global Health Society
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3529318/ https://www.ncbi.nlm.nih.gov/pubmed/23289080 http://dx.doi.org/10.7189/jogh.02.020405 |
_version_ | 1782253897075654656 |
---|---|
author | Paul, Abigail Adeloye, Davies George-Carey, Rhiannon Kolčić, Ivana Grant, Liz Chan, Kit Yee |
author_facet | Paul, Abigail Adeloye, Davies George-Carey, Rhiannon Kolčić, Ivana Grant, Liz Chan, Kit Yee |
author_sort | Paul, Abigail |
collection | PubMed |
description | BACKGROUND: Epilepsy is a leading serious neurological condition worldwide and has particularly significant physical, economic and social consequences in Sub–Saharan Africa. This paper aims to contribute to the understanding of epilepsy prevalence in this region and how this varies by age and sex so as to inform understanding of the disease characteristics as well as the development of infrastructure, services and policies. METHODS: A parallel systematic analysis of Medline, Embase and Global Health returned 32 studies that satisfied pre–defined quality criteria. Relevant data was extracted, tabulated and analyzed. We modelled the available information and used the UN population figures for Africa to determine the age–specific and overall burden of epilepsy. RESULTS: Active epilepsy was estimated to affect 4.4 million people in Sub–Saharan Africa, whilst lifetime epilepsy was estimated to affect 5.4 million. The prevalence of active epilepsy peaks in the 20–29 age group at 11.5/1000 and again in the 40–49 age group at 8.2/1000. The lowest prevalence value of 3.1/1000 is seen in the 60+ age group. This binomial pattern is also seen in both men and women, with the second peak more pronounced in women at 14.6/1000. CONCLUSION: The high prevalence of epilepsy, especially in young adults, has important consequences for both the workforce and community structures. An estimation of disease burden would be a beneficial outcome of further research, as would research into appropriate methods of improving health care for and tackling discrimination against people with epilepsy. |
format | Online Article Text |
id | pubmed-3529318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Edinburgh University Global Health Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-35293182013-01-03 An estimate of the prevalence of epilepsy in Sub–Saharan Africa: A systematic analysis Paul, Abigail Adeloye, Davies George-Carey, Rhiannon Kolčić, Ivana Grant, Liz Chan, Kit Yee J Glob Health Article BACKGROUND: Epilepsy is a leading serious neurological condition worldwide and has particularly significant physical, economic and social consequences in Sub–Saharan Africa. This paper aims to contribute to the understanding of epilepsy prevalence in this region and how this varies by age and sex so as to inform understanding of the disease characteristics as well as the development of infrastructure, services and policies. METHODS: A parallel systematic analysis of Medline, Embase and Global Health returned 32 studies that satisfied pre–defined quality criteria. Relevant data was extracted, tabulated and analyzed. We modelled the available information and used the UN population figures for Africa to determine the age–specific and overall burden of epilepsy. RESULTS: Active epilepsy was estimated to affect 4.4 million people in Sub–Saharan Africa, whilst lifetime epilepsy was estimated to affect 5.4 million. The prevalence of active epilepsy peaks in the 20–29 age group at 11.5/1000 and again in the 40–49 age group at 8.2/1000. The lowest prevalence value of 3.1/1000 is seen in the 60+ age group. This binomial pattern is also seen in both men and women, with the second peak more pronounced in women at 14.6/1000. CONCLUSION: The high prevalence of epilepsy, especially in young adults, has important consequences for both the workforce and community structures. An estimation of disease burden would be a beneficial outcome of further research, as would research into appropriate methods of improving health care for and tackling discrimination against people with epilepsy. Edinburgh University Global Health Society 2012-12 /pmc/articles/PMC3529318/ /pubmed/23289080 http://dx.doi.org/10.7189/jogh.02.020405 Text en Copyright © 2012 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Paul, Abigail Adeloye, Davies George-Carey, Rhiannon Kolčić, Ivana Grant, Liz Chan, Kit Yee An estimate of the prevalence of epilepsy in Sub–Saharan Africa: A systematic analysis |
title | An estimate of the prevalence of epilepsy in Sub–Saharan Africa: A systematic analysis |
title_full | An estimate of the prevalence of epilepsy in Sub–Saharan Africa: A systematic analysis |
title_fullStr | An estimate of the prevalence of epilepsy in Sub–Saharan Africa: A systematic analysis |
title_full_unstemmed | An estimate of the prevalence of epilepsy in Sub–Saharan Africa: A systematic analysis |
title_short | An estimate of the prevalence of epilepsy in Sub–Saharan Africa: A systematic analysis |
title_sort | estimate of the prevalence of epilepsy in sub–saharan africa: a systematic analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3529318/ https://www.ncbi.nlm.nih.gov/pubmed/23289080 http://dx.doi.org/10.7189/jogh.02.020405 |
work_keys_str_mv | AT paulabigail anestimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT adeloyedavies anestimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT georgecareyrhiannon anestimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT kolcicivana anestimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT grantliz anestimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT chankityee anestimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT paulabigail estimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT adeloyedavies estimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT georgecareyrhiannon estimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT kolcicivana estimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT grantliz estimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis AT chankityee estimateoftheprevalenceofepilepsyinsubsaharanafricaasystematicanalysis |