Evidence map›Paper›PMID 26869067›Full record

ArticleBMC public health2016

Burden of stroke attributable to selected lifestyle risk factors in rural South Africa.

Mandy Maredza, Melanie Y Bertram, Xavier F Gómez-Olivé, Stephen M Tollman

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Rehabilitation Capacity in South Africa-A Situational Analysis.International journal of environmental research and public health · 2023
    Article
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  8. Article
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  12. Article
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  14. Article
  15. Nurses' knowledge of stroke-related oropharyngeal dysphagia in the Eastern Cape, South Africa.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2020
    Article
  16. Acute stroke in the emergency department: A chart review at KwaZulu-Natal hospital.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2020
    Article
  17. The accuracy of the FAST stroke assessment in identifying stroke at initial ambulance call into a South African private emergency call centre.The Southern African journal of critical care : the official journal of the Critical Care Society · 2020
    Article
  18. Article
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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

4 authors.

Mandy MaredzaMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Education Campus, St Andrews Road, Parktown, Johannesburg, South Africa. rmtanya@gmail.com.
Melanie Y BertramMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Education Campus, St Andrews Road, Parktown, Johannesburg, South Africa. bertramm@who.int.
Xavier F Gómez-OlivéMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Education Campus, St Andrews Road, Parktown, Johannesburg, South Africa. F.Gomez-OliveCasas@wits.ac.za.
Stephen M TollmanMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Education Campus, St Andrews Road, Parktown, Johannesburg, South Africa. Stephen.Tollman@wits.ac.za.

Funding

Wits Non-communicable Disease Research Leadership ProgramD43TW008330 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI CROWTHER, NIGEL JOHN, KLIPSTEIN-GROBUSCH, KERSTIN · 2010 to 2014
$985k
FIC NIH HHS D43 TW008330Wellcome Trust
6 · The paper itself

Abstract

backgroundRural South Africa (SA) is undergoing a rapid health transition characterized by increases in non-communicable diseases; stroke in particular. Knowledge of the relative contribution of modifiable risk factors on disease occurrence is needed for public health prevention efforts and community-oriented health promotion. Our aim was to estimate the burden of stroke in rural SA that is attributable to high blood pressure, excess weight and high blood glucose using World Health Organization's comparative risk assessment (CRA) framework.

methodsWe estimated current exposure distributions of the risk factors in rural SA using 2010 data from the Agincourt health and demographic surveillance system (HDSS). Relative risks of stroke per unit of exposure were obtained from the Global Burden of Disease Study 2010. We used data from the Agincourt HDSS to estimate age-, sex-, and stroke specific deaths and disability adjusted life years (DALYs). We estimated the proportion of the years of life lost (YLL) and DALY loss attributable to the risk factors and incorporate uncertainty intervals into these estimates.

resultsOverall, 38 % of the documented stroke burden was due to high blood pressure (12 % males; 26 % females). This translated to 520 YLL per year (95 % CI: 325-678) and 540 DALYs (CI: 343-717). Excess Body Mass Index (BMI) was calculated as responsible for 20 % of the stroke burden (3.5 % males; 16 % females). This translated to 260 YLLs (CI: 199-330) and 277 DALYs (CI: 211-350). Burden was disproportionately higher in young females when BMI was assessed.

conclusionsHigh blood pressure and excess weight, which both have effective interventions, are responsible for a significant proportion of the stroke burden in rural SA; the burden varies across age and sex sub-groups. The most effective way forward to reduce the stroke burden requires both population wide policies that have an impact across the age spectra and targeted (health promotion/disease prevention) interventions on women and young people.

Indexed as

Rural PopulationAdultAgedAged, 80 and overAge FactorsBlood GlucoseBody Mass IndexFemaleHumansHypertensionMaleMiddle AgedOverweightQuality-Adjusted Life YearsRisk AssessmentRisk FactorsBlood Glucose

Identifiers

PMID26869067
PMCPMC4751665

What OpenQuestion holds

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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.