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Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey

This study investigates the provincial variation in hypertension prevalence in South Africa in 2012 and 2016, adjusting for individual level demographic, behavioural and socio-economic variables, while allowing for spatial autocorrelation and adjusting simultaneously for the hierarchical data struct...

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Autores principales: Kandala, Ngianga-Bakwin, Nnanatu, Chibuzor Christopher, Dukhi, Natisha, Sewpaul, Ronel, Davids, Adlai, Reddy, Sasiragha Priscilla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160950/
https://www.ncbi.nlm.nih.gov/pubmed/34069668
http://dx.doi.org/10.3390/ijerph18105445
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author Kandala, Ngianga-Bakwin
Nnanatu, Chibuzor Christopher
Dukhi, Natisha
Sewpaul, Ronel
Davids, Adlai
Reddy, Sasiragha Priscilla
author_facet Kandala, Ngianga-Bakwin
Nnanatu, Chibuzor Christopher
Dukhi, Natisha
Sewpaul, Ronel
Davids, Adlai
Reddy, Sasiragha Priscilla
author_sort Kandala, Ngianga-Bakwin
collection PubMed
description This study investigates the provincial variation in hypertension prevalence in South Africa in 2012 and 2016, adjusting for individual level demographic, behavioural and socio-economic variables, while allowing for spatial autocorrelation and adjusting simultaneously for the hierarchical data structure and risk factors. Data were analysed from participants aged ≥15 years from the South African National Health and Nutrition Examination Survey (SANHANES) 2012 and the South African Demographic and Health Survey (DHS) 2016. Hypertension was defined as blood pressure ≥ 140/90 mmHg or self-reported health professional diagnosis or on antihypertensive medication. Bayesian geo-additive regression modelling investigated the association of various socio-economic factors on the prevalence of hypertension across South Africa’s nine provinces while controlling for the latent effects of geographical location. Hypertension prevalence was 38.4% in the SANHANES in 2012 and 48.2% in the DHS in 2016. The risk of hypertension was significantly high in KwaZulu-Natal and Mpumalanga in the 2016 DHS, despite being previously nonsignificant in the SANHANES 2012. In both survey years, hypertension was significantly higher among males, the coloured population group, urban participants and those with self-reported high blood cholesterol. The odds of hypertension increased non-linearly with age, body mass index (BMI), waist circumference. The findings can inform decision making regarding the allocation of public resources to the most affected areas of the population.
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spelling pubmed-81609502021-05-29 Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey Kandala, Ngianga-Bakwin Nnanatu, Chibuzor Christopher Dukhi, Natisha Sewpaul, Ronel Davids, Adlai Reddy, Sasiragha Priscilla Int J Environ Res Public Health Article This study investigates the provincial variation in hypertension prevalence in South Africa in 2012 and 2016, adjusting for individual level demographic, behavioural and socio-economic variables, while allowing for spatial autocorrelation and adjusting simultaneously for the hierarchical data structure and risk factors. Data were analysed from participants aged ≥15 years from the South African National Health and Nutrition Examination Survey (SANHANES) 2012 and the South African Demographic and Health Survey (DHS) 2016. Hypertension was defined as blood pressure ≥ 140/90 mmHg or self-reported health professional diagnosis or on antihypertensive medication. Bayesian geo-additive regression modelling investigated the association of various socio-economic factors on the prevalence of hypertension across South Africa’s nine provinces while controlling for the latent effects of geographical location. Hypertension prevalence was 38.4% in the SANHANES in 2012 and 48.2% in the DHS in 2016. The risk of hypertension was significantly high in KwaZulu-Natal and Mpumalanga in the 2016 DHS, despite being previously nonsignificant in the SANHANES 2012. In both survey years, hypertension was significantly higher among males, the coloured population group, urban participants and those with self-reported high blood cholesterol. The odds of hypertension increased non-linearly with age, body mass index (BMI), waist circumference. The findings can inform decision making regarding the allocation of public resources to the most affected areas of the population. MDPI 2021-05-19 /pmc/articles/PMC8160950/ /pubmed/34069668 http://dx.doi.org/10.3390/ijerph18105445 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kandala, Ngianga-Bakwin
Nnanatu, Chibuzor Christopher
Dukhi, Natisha
Sewpaul, Ronel
Davids, Adlai
Reddy, Sasiragha Priscilla
Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey
title Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey
title_full Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey
title_fullStr Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey
title_full_unstemmed Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey
title_short Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey
title_sort mapping the burden of hypertension in south africa: a comparative analysis of the national 2012 sanhanes and the 2016 demographic and health survey
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160950/
https://www.ncbi.nlm.nih.gov/pubmed/34069668
http://dx.doi.org/10.3390/ijerph18105445
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