4.3 Article

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

出版社

MDPI
DOI: 10.3390/ijerph18105445

关键词

hypertension; Bayesian geo-additive regression; spatial modelling; South Africa; KwaZulu-Natal; Mpumalanga

资金

  1. South African Department of Health
  2. UK Department for International Development (DFID)
  3. Human Sciences Research Council (HSRC)
  4. government of South Africa through the Department of Health and SAMRC
  5. Global Fund to Fight AIDS, Tuberculosis and Malaria (Global Fund)
  6. European Union (EU)
  7. United Nations Children's Fund (UNICEF)
  8. United Nations Population Fund (UNFPA)

向作者/读者索取更多资源

This study examines the provincial variation in hypertension prevalence in South Africa in 2012 and 2016, taking into account individual demographic, behavioral, and socio-economic factors, while also considering spatial autocorrelation and adjusting for the hierarchical data structure and risk factors.
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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