Mapping the burden of hypertension in South Africa: A comparative analysis of the national 2012 SANHANES and the 2016 demographic and health survey
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 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
Kandala, Ngianga-Bakwin
671d512a-76b0-427b-9ac2-ca6f79111070
Nnanatu, Chibuzor Christopher
24be7c1b-a677-4086-91b4-a9d9b1efa5a3
Dukhi, Natisha
63886a8f-91be-41e6-8100-ad190ae9c724
Sewpaul, Ronel
69bcd48c-116f-4a44-ba3f-c103fd82b6f0
Davids, Adlai
ee3c2560-2f4d-4385-b0b7-940ffefcf3ca
Reddy, Sasiragha Priscilla
3b30c708-1327-400b-af07-07dca84a328e
19 May 2021
Kandala, Ngianga-Bakwin
671d512a-76b0-427b-9ac2-ca6f79111070
Nnanatu, Chibuzor Christopher
24be7c1b-a677-4086-91b4-a9d9b1efa5a3
Dukhi, Natisha
63886a8f-91be-41e6-8100-ad190ae9c724
Sewpaul, Ronel
69bcd48c-116f-4a44-ba3f-c103fd82b6f0
Davids, Adlai
ee3c2560-2f4d-4385-b0b7-940ffefcf3ca
Reddy, Sasiragha Priscilla
3b30c708-1327-400b-af07-07dca84a328e
Kandala, Ngianga-Bakwin, Nnanatu, Chibuzor Christopher, Dukhi, Natisha, Sewpaul, Ronel, Davids, Adlai and Reddy, Sasiragha Priscilla
(2021)
Mapping the burden of hypertension in South Africa: A comparative analysis of the national 2012 SANHANES and the 2016 demographic and health survey.
International Journal of Environmental Research and Public Health, 18 (10).
(doi:10.3390/ijerph18105445).
Abstract
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
More information
Accepted/In Press date: 14 May 2021
Published date: 19 May 2021
Identifiers
Local EPrints ID: 456405
URI: http://eprints.soton.ac.uk/id/eprint/456405
ISSN: 1660-4601
PURE UUID: b9243290-0610-4085-8a12-e5ca9d9d1802
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Date deposited: 28 Apr 2022 16:32
Last modified: 13 Jun 2024 02:02
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Contributors
Author:
Ngianga-Bakwin Kandala
Author:
Chibuzor Christopher Nnanatu
Author:
Natisha Dukhi
Author:
Ronel Sewpaul
Author:
Adlai Davids
Author:
Sasiragha Priscilla Reddy
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