Evidence map›Paper›PMID 26637309›Full record

ArticleBMC public health2015

The burden of hypertension in sub-Saharan Africa: a four-country cross sectional study.

David Guwatudde, Joan Nankya-Mutyoba, Robert Kalyesubula, Carien Laurence, Clement Adebamowo, IkeOluwapo Ajayi, Francis Bajunirwe, Marina Njelekela, Faraja S Chiwanga, Todd Reid and 4 more

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 11 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

154 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  10. Screening strategies for hypertension.The Cochrane database of systematic reviews · 2020
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94 more citing papers are in PubMed but not listed here.

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

14 authors.

David GuwatuddeDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda. dguwatudde@musph.ac.ug.
Joan Nankya-MutyobaDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda. eron.jm@hotmail.com.
Robert KalyesubulaDepartment of Medicine, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda. rkalyes@yahoo.com.
Carien LaurenceCentre for Evidence-based Health Care, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. carienl@sun.ac.za.
Clement AdebamowoInstitute of Human Virology, Abuja, Nigeria. adebamowo@outlook.com.
IkeOluwapo AjayiInstitute of Human Virology, Abuja, Nigeria. ikeajayi2003@yahoo.com.
Francis BajunirweDepartment of Community Health, Mbarara University Of Science and Technology, Mbarara, Uganda. fbaj@yahoo.com.
Marina NjelekelaDepartment of Physiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania. madaula@yahoo.com.
Faraja S ChiwangaDepartment of Physiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania. fschiwanga@yahoo.com.
Todd ReidDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, USA. reid1001@gmail.com.
Jimmy VolminkCentre for Evidence-based Health Care, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. jvolmink@sun.ac.za.
Hans-Olov AdamiDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, USA. hadami@hsph.harvard.edu.
Michelle D HolmesDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, USA. michelle.holmes@channing.harvard.edu.
Shona DalalDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, USA. shonadalal@gmail.com.

Funding

Training Program in Nigeria for NCD Research (TRAPING - NCD)D43TW009106 · FIC · UNIVERSITY OF MARYLAND BALTIMORE · PI ADEBAMOWO, CLEMENT ADEBAYO · 2011 to 2015
$1.1M
FIC NIH HHS D43 TW009106
6 · The paper itself

Abstract

backgroundHypertension, the leading single cause of morbidity and mortality worldwide, is a growing public health problem in sub-Saharan Africa (SSA). Few studies have estimated and compared the burden of hypertension across different SSA populations. We conducted a cross-sectional analysis of blood pressure data collected through a cohort study in four SSA countries, to estimate the prevalence of pre-hypertension, the prevalence of hypertension, and to identify the factors associated with hypertension.

methodsParticipants were from five different population groups defined by occupation and degree of urbanization, including rural and peri-urban residents in Uganda, school teachers in South Africa and Tanzania, and nurses in Nigeria. We used a standardized questionnaire to collect data on demographic and behavioral characteristics, injuries, and history of diagnoses of chronic diseases and mental health. We also made physical measurements (weight, height and blood pressure), as well as biochemical measurements; which followed standardized protocols across the country sites. Modified Poison regression modelling was used to estimate prevalence ratios (PR) as measures of association between potential risk factors and hypertension.

resultsThe overall age-standardized prevalence of hypertension among the 1216 participants was 25.9%. Prevalence was highest among nurses with an age-standardized prevalence (ASP) of 25.8%, followed by school teachers (ASP = 23.2%), peri-urban residents (ASP = 20.5%) and lowest among rural residents (ASP = 8.7%). Only 50.0% of participants with hypertension were aware of their raised blood pressure. The overall age-standardized prevalence of pre-hypertension was 21.0%. Factors found to be associated with hypertension were: population group, older age, higher body mass index, higher fasting plasma glucose level, lower level of education, and tobacco use.

conclusionsThe prevalence of hypertension and pre-hypertension are high, and differ by population group defined by occupation and degree of urbanization. Only half of the populations with hypertension are aware of their hypertension, indicating a high burden of undiagnosed and un-controlled high blood pressure in these populations.

Indexed as

Blood PressureOccupationsUrbanizationUrban PopulationAdolescentAdultAgedCohort StudiesCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedNigeriaNurses

Identifiers

PMID26637309
PMCPMC4670543

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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.