Evidence map›Paper›PMID 30382179›Full record

ArticleJournal of human hypertension2019

Predictors of hypertension awareness, treatment and control in South Africa: results from the WHO-SAGE population survey (Wave 2).

Lisa Jayne Ware, Glory Chidumwa, Karen Charlton, Aletta Elisabeth Schutte, Paul Kowal

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of human hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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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

5 authors at 4 institutions in 4 countries.

Lisa Jayne WareSA MRC Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0002-9762-4017
Glory ChidumwaSA MRC Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0002-8743-9045
Karen CharltonSchool of Medicine, University of Wollongong, Wollongong, Australia.ORCID http://orcid.org/0000-0002-8044-444X
Aletta Elisabeth SchutteHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa. alta.schutte@nwu.ac.za.ORCID http://orcid.org/0000-0001-9217-4937
Paul KowalUniversity of Newcastle Research Centre for Generational Health and Ageing, Newcastle, Australia.ORCID http://orcid.org/0000-0002-6314-8753
South African Medical Research Council · ZANorth-West University · ZAUniversity of Wollongong · AUWorld Health Organization · CH

Funding

Towards improving the measurement of health and disability trends, the compressioR01AG034479 · NIA · WORLD HEALTH ORGANIZATION · PI CHATTERJI, SOMNATH · 2010 to 2014
$5.3M
U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG034479
6 · The paper itself

Abstract

South Africa has one of the highest levels of hypertension globally, coupled with poor rates of diagnosis, treatment and control. Risk factors that predict hypertension in high income countries may perform differently in the African context, where communicable disease, obesity and malnutrition co-exist. This study investigated traditional risk factors alongside other health and sociodemographic indicators to determine predictors of hypertension prevalence and management. Participants were recruited from households across South Africa as part of WHO's Study on global AGEing and adult health (WHO SAGE) Wave 2 (2015). Blood pressure (BP) was measured in triplicate and sociodemographic and health data collected by survey (n = 1847; 30% 18-39 years, 39% 40-59 years, 31% 60 years+; median age 51 years; 68% female). Of all adults, 43% were hypertensive (n = 802), of which 58% (n = 398) were unaware, 33% (n = 267) were on medication, with only 18% (n = 141) controlled on medication (BP < 140/90 mmHg). Multivariate logistic regression showed waist-to-height ratio > 0.5 and diabetes comorbidity were the most significant predictors of hypertension presence, awareness and treatment. Individuals with diabetes were twice as likely to have hypertension, 7.0 times more likely to be aware, 3.3 times more likely to be on antihypertensive medication, and 2.4 times more likely to be controlled on medication. Women and individuals reporting lower salt use were more likely to be aware and treated for hypertension. Applying the 2017 AHA/ACC hypertension guidelines showed only 1 in 4 adults had normal BP. As with HIV, similarly intensive efforts are now needed in the region to improve non-communicable disease diagnosis and management.

Indexed as

AdultAgedAgingAwarenessBlood Pressure Monitoring, AmbulatoryFemaleHumansHypertensionLogistic ModelsMaleMiddle AgedPrevalenceSouth AfricaWorld Health Organization

Identifiers

PMID30382179
OpenAlexW2899505917

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.