Evidence map›Paper›PMID 34069668›Full record

ArticleInternational journal of environmental research and public health2021

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

Ngianga-Bakwin Kandala, Chibuzor Christopher Nnanatu, Natisha Dukhi, Ronel Sewpaul, Adlai Davids, Sasiragha Priscilla Reddy

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Hypertension Prevalence and Associated Risk Factors in a South African Population.International journal of environmental research and public health · 2026
    Observational
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  12. Hemoadsorption Therapy for Calcium Channel Blocker Overdose at a Tertiary-level Intensive Care Unit: A Retrospective Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  13. Article
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  16. Review
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  18. Hypertension guideline implementation and blood pressure control in Matlosana, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Ngianga-Bakwin KandalaDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK.
Chibuzor Christopher NnanatuDepartment of Mathematics, Physics & Electrical Engineering (MPEE), Northumbria University, Newcastle NE 18 ST, UK.
Natisha DukhiHealth & Wellbeing, Human and Social Capabilities (HSC) Division, Human Sciences Research Council, Private Bag X9182, Cape Town 8000, South Africa.ORCID 0000-0001-9557-7424
Ronel SewpaulHealth & Wellbeing, Human and Social Capabilities (HSC) Division, Human Sciences Research Council, Private Bag X9182, Cape Town 8000, South Africa.ORCID 0000-0002-2523-1222
Adlai DavidsHealth & Wellbeing, Human and Social Capabilities (HSC) Division, Human Sciences Research Council, Private Bag X9182, Cape Town 8000, South Africa.
Sasiragha Priscilla ReddyHealth & Wellbeing, Human and Social Capabilities (HSC) Division, Human Sciences Research Council, Private Bag X9182, Cape Town 8000, South Africa.ORCID 0000-0002-0432-9060
Human Sciences Research Council · ZANnamdi Azikiwe University · NGUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

HypertensionBayes TheoremCross-Sectional StudiesHumansMaleNutrition SurveysPrevalenceRisk FactorsSouth AfricaBayesian geo-additive regressionhypertensionKwaZulu-NatalMpumalangaSouth Africaspatial modelling

Identifiers

PMID34069668
PMCPMC8160950
OpenAlexW3162791287

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.