Evidence map›Paper›PMID 36918238›Full record

ArticleBMJ open2023

Identifying the prevalence and correlates of multimorbidity in middle-aged men and women: a cross-sectional population-based study in four African countries.

Lisa K Micklesfield, Richard Munthali, Godfred Agongo, Gershim Asiki, Palwende Boua, Solomon Sr Choma, Nigel J Crowther, June Fabian, Francesc Xavier Gómez-Olivé, Chodziwadziwa Kabudula and 10 more

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In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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  13. Health in Africa.Nature communications · 2024
    Article
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  16. Multimorbidity in South Africa: Is the health system ready?Journal of multimorbidity and comorbidity
    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

20 authors.

Lisa K MicklesfieldSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa Lisa.Micklesfield@wits.ac.za.ORCID 0000-0002-4994-0779
Richard MunthaliSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Godfred AgongoDepartment of Biochemistry and Forensic Sciences, School of Chemical and Biochemical Sciences, C.K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.ORCID 0000-0002-4218-5424
Gershim AsikiAfrican Population and Health Research Center, Nairobi, Kenya.
Palwende BouaClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.ORCID 0000-0001-8325-2665
Solomon Sr ChomaDepartment of Public Health, University of Limpopo, Sovenga, South Africa.ORCID 0000-0003-1338-6523
Nigel J CrowtherDepartment of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
June FabianWits Donald Gordon Medical Centre, University of the Witwatersrand, Johannesburg, South Africa.
Francesc Xavier Gómez-OlivéSouth African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Chodziwadziwa KabudulaSouth African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Eric MaimelaDepartment of Public Health, University of Limpopo, Sovenga, South Africa.ORCID 0000-0003-2843-4663
Shukri F MohamedHealth and Systems for Health, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0002-8693-1943
Engelbert A NonterahNavrongo Health Research Centre, Ghana Health Service, Accra, Ghana.
Frederick J RaalDepartment of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Hermann SorghoInstitut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.
Furahini D TluwaySydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Alisha N WadeSouth African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-1158-2523
Shane A NorrisSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-7124-3788
Michele RamsaySydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
as members of AWI-Gen and the H3Africa Consortium

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
Endocrine and metabolic diseases in rural South Africa-establishing burden and improving detectionK43TW010698 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI WADE, ALISHA NICOLE · 2017 to 2021
$581k
FIC NIH HHS K43 TW010698NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

objectivesTo determine the prevalence of multimorbidity, to identify which chronic conditions cluster together and to identify factors associated with a greater risk for multimorbidity in sub-Saharan Africa (SSA).

designCross-sectional, multicentre, population-based study.

settingSix urban and rural communities in four sub-Saharan African countries.

participantsMen (n=4808) and women (n=5892) between the ages of 40 and 60 years from the AWI-Gen study. MEASURES: Sociodemographic and anthropometric data, and multimorbidity as defined by the presence of two or more of the following conditions: HIV infection, cardiovascular disease, chronic kidney disease, asthma, diabetes, dyslipidaemia, hypertension.

resultsMultimorbidity prevalence was higher in women compared with men (47.2% vs 35%), and higher in South African men and women compared with their East and West African counterparts. The most common disease combination at all sites was dyslipidaemia and hypertension, with this combination being more prevalent in South African women than any single disease (25% vs 21.6%). Age and body mass index were associated with a higher risk of multimorbidity in men and women; however, lifestyle correlates such as smoking and physical activity were different between the sexes.

conclusionsThe high prevalence of multimorbidity in middle-aged adults in SSA is of concern, with women currently at higher risk. This prevalence is expected to increase in men, as well as in the East and West African region with the ongoing epidemiological transition. Identifying common disease clusters and correlates of multimorbidity is critical to providing effective interventions.

Indexed as

DyslipidemiasHIV InfectionsHypertensionAdultAfrica South of the SaharaCross-Sectional StudiesFemaleHumansMaleMiddle AgedMultimorbidityPrevalenceRisk FactorsSex FactorsEPIDEMIOLOGYLipid disordersPUBLIC HEALTH

Identifiers

PMID36918238
PMCPMC10016250

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LicenceCC BY
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identifiers read2
Read underepoch 390

Registered trials

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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.