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Burden of stroke attributable to selected lifestyle risk factors in rural South Africa

BACKGROUND: Rural South Africa (SA) is undergoing a rapid health transition characterized by increases in non-communicable diseases; stroke in particular. Knowledge of the relative contribution of modifiable risk factors on disease occurrence is needed for public health prevention efforts and commun...

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Autores principales: Maredza, Mandy, Bertram, Melanie Y., Gómez-Olivé, Xavier F., Tollman, Stephen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751665/
https://www.ncbi.nlm.nih.gov/pubmed/26869067
http://dx.doi.org/10.1186/s12889-016-2805-7
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author Maredza, Mandy
Bertram, Melanie Y.
Gómez-Olivé, Xavier F.
Tollman, Stephen M.
author_facet Maredza, Mandy
Bertram, Melanie Y.
Gómez-Olivé, Xavier F.
Tollman, Stephen M.
author_sort Maredza, Mandy
collection PubMed
description BACKGROUND: Rural South Africa (SA) is undergoing a rapid health transition characterized by increases in non-communicable diseases; stroke in particular. Knowledge of the relative contribution of modifiable risk factors on disease occurrence is needed for public health prevention efforts and community-oriented health promotion. Our aim was to estimate the burden of stroke in rural SA that is attributable to high blood pressure, excess weight and high blood glucose using World Health Organization’s comparative risk assessment (CRA) framework. METHODS: We estimated current exposure distributions of the risk factors in rural SA using 2010 data from the Agincourt health and demographic surveillance system (HDSS). Relative risks of stroke per unit of exposure were obtained from the Global Burden of Disease Study 2010. We used data from the Agincourt HDSS to estimate age-, sex-, and stroke specific deaths and disability adjusted life years (DALYs). We estimated the proportion of the years of life lost (YLL) and DALY loss attributable to the risk factors and incorporate uncertainty intervals into these estimates. RESULTS: Overall, 38 % of the documented stroke burden was due to high blood pressure (12 % males; 26 % females). This translated to 520 YLL per year (95 % CI: 325-678) and 540 DALYs (CI: 343-717). Excess Body Mass Index (BMI) was calculated as responsible for 20 % of the stroke burden (3.5 % males; 16 % females). This translated to 260 YLLs (CI: 199-330) and 277 DALYs (CI: 211-350). Burden was disproportionately higher in young females when BMI was assessed. CONCLUSIONS: High blood pressure and excess weight, which both have effective interventions, are responsible for a significant proportion of the stroke burden in rural SA; the burden varies across age and sex sub-groups. The most effective way forward to reduce the stroke burden requires both population wide policies that have an impact across the age spectra and targeted (health promotion/disease prevention) interventions on women and young people. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-2805-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-47516652016-02-13 Burden of stroke attributable to selected lifestyle risk factors in rural South Africa Maredza, Mandy Bertram, Melanie Y. Gómez-Olivé, Xavier F. Tollman, Stephen M. BMC Public Health Research Article BACKGROUND: Rural South Africa (SA) is undergoing a rapid health transition characterized by increases in non-communicable diseases; stroke in particular. Knowledge of the relative contribution of modifiable risk factors on disease occurrence is needed for public health prevention efforts and community-oriented health promotion. Our aim was to estimate the burden of stroke in rural SA that is attributable to high blood pressure, excess weight and high blood glucose using World Health Organization’s comparative risk assessment (CRA) framework. METHODS: We estimated current exposure distributions of the risk factors in rural SA using 2010 data from the Agincourt health and demographic surveillance system (HDSS). Relative risks of stroke per unit of exposure were obtained from the Global Burden of Disease Study 2010. We used data from the Agincourt HDSS to estimate age-, sex-, and stroke specific deaths and disability adjusted life years (DALYs). We estimated the proportion of the years of life lost (YLL) and DALY loss attributable to the risk factors and incorporate uncertainty intervals into these estimates. RESULTS: Overall, 38 % of the documented stroke burden was due to high blood pressure (12 % males; 26 % females). This translated to 520 YLL per year (95 % CI: 325-678) and 540 DALYs (CI: 343-717). Excess Body Mass Index (BMI) was calculated as responsible for 20 % of the stroke burden (3.5 % males; 16 % females). This translated to 260 YLLs (CI: 199-330) and 277 DALYs (CI: 211-350). Burden was disproportionately higher in young females when BMI was assessed. CONCLUSIONS: High blood pressure and excess weight, which both have effective interventions, are responsible for a significant proportion of the stroke burden in rural SA; the burden varies across age and sex sub-groups. The most effective way forward to reduce the stroke burden requires both population wide policies that have an impact across the age spectra and targeted (health promotion/disease prevention) interventions on women and young people. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-2805-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-12 /pmc/articles/PMC4751665/ /pubmed/26869067 http://dx.doi.org/10.1186/s12889-016-2805-7 Text en © Maredza et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Maredza, Mandy
Bertram, Melanie Y.
Gómez-Olivé, Xavier F.
Tollman, Stephen M.
Burden of stroke attributable to selected lifestyle risk factors in rural South Africa
title Burden of stroke attributable to selected lifestyle risk factors in rural South Africa
title_full Burden of stroke attributable to selected lifestyle risk factors in rural South Africa
title_fullStr Burden of stroke attributable to selected lifestyle risk factors in rural South Africa
title_full_unstemmed Burden of stroke attributable to selected lifestyle risk factors in rural South Africa
title_short Burden of stroke attributable to selected lifestyle risk factors in rural South Africa
title_sort burden of stroke attributable to selected lifestyle risk factors in rural south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751665/
https://www.ncbi.nlm.nih.gov/pubmed/26869067
http://dx.doi.org/10.1186/s12889-016-2805-7
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