Evidence map›Paper›PMID 32051243›Full record

ArticleDiabetes care2020

Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries.

Jacqueline A Seiglie, Maja-Emilia Marcus, Cara Ebert, Nikolaos Prodromidis, Pascal Geldsetzer, Michaela Theilmann, Kokou Agoudavi, Glennis Andall-Brereton, Krishna K Aryal, Brice Wilfried Bicaba and 33 more

Abstract read
In one paragraph

Article in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 4 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

103 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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43 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

43 authors.

Jacqueline A SeiglieDiabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA jseiglie@partners.org.ORCID 0000-0001-9278-4516
Maja-Emilia MarcusDepartment of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
Cara EbertDepartment of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
Nikolaos ProdromidisDepartment of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA.ORCID 0000-0002-8878-5505
Michaela TheilmannInstitute of Global Health, Heidelberg University, Heidelberg, Germany.
Kokou AgoudaviMinistry of Health, Lome, Togo.
Glennis Andall-BreretonNon-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago.
Krishna K AryalNepal Health Research Council, Kathmandu, Nepal.
Brice Wilfried BicabaInstitut Africain de Santé publique, Ouagadougou, Burkina Faso.
Pascal BovetMinistry of Health, Victoria, Republic of Seychelles.
Garry BrianThe Fred Hollows Foundation NZ, Auckland, New Zealand.
Maria DorobantuCardiology Department, Emergency Hospital of Bucharest, Bucharest, Romania.
Gladwell GathechaDivision of Non-Communicable Diseases, Kenya Ministry of Health, Nairobi, Kenya.
Mongal Singh GurungHealth Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan.
David GuwatuddeDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.
Mohamed MsaidiéComoros Ministry of Health, Solidarity, Social Cohesion and Gender, Moroni, Comoros.
Corine HouehanouLaboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Dismand HouinatoLaboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Jutta Mari Adelin JorgensenPartners In Health, Boston, MA.
Gibson B KagarukiNational Institute for Medical Research, Dar es Salaam, Tanzania.
Khem B KarkiDepartment of Community Medicine and Public Health, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Demetre LabadariosFaculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
Joao S MartinsFaculty of Medicine and Health Sciences, National University of East Timor, Dili, Timor-Leste.
Mary T MayigeNational Institute for Medical Research, Dar es Salaam, Tanzania.
Roy Wong-McClureEpidemiology Office and Surveillance, Caja Costarricense de Seguro Social, San Jose, Costa Rica.
Joseph Kibachio MwangiDivision of Non-Communicable Diseases, Kenya Ministry of Health, Nairobi, Kenya.
Omar MwalimZanzibar Ministry of Health, Mnazi Mmoja, Zanzibar.
Bolormaa NorovNational Center for Public Health, Ulaanbaatar, Mongolia.
Sarah Quesnel-CrooksNon-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago.
Bahendeka K SilverSt. Francis Hospital, Nsambya, Kampala, Uganda.
Lela SturuaNon-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia.
Lindiwe TsabedzeSwaziland Ministry of Health, Mbabane, Swaziland.
Chea Stanford WessehLiberia Ministry of Health, Monrovia, Liberia.
Andrew StokesCenter for Global Health and Development, Boston University, Boston, MA.
Rifat AtunDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA.
Justine I DaviesMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
Sebastian VollmerDepartment of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
Till W BärnighausenInstitute of Global Health, Heidelberg University, Heidelberg, Germany.
Lindsay M JaacksDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA.ORCID 0000-0002-7791-5167
James B MeigsDepartment of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Deborah J WexlerDiabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Jennifer Manne-GoehlerDivision of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

Funding

TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Institutional Career Development Core (KL2)KL2TR003143 · NCATS · STANFORD UNIVERSITY · PI ASCH, STEVEN M. · 2019 to 2023
$8.7M
NCATS NIH HHS KL2 TR003143NIAID NIH HHS T32 AI007433NIDDK NIH HHS L30 DK122468NIDDK NIH HHS T32 DK007028
6 · The paper itself

Abstract

objectiveDiabetes is a rapidly growing health problem in low- and middle-income countries (LMICs), but empirical data on its prevalence and relationship to socioeconomic status are scarce. We estimated diabetes prevalence and the subset with undiagnosed diabetes in 29 LMICs and evaluated the relationship of education, household wealth, and BMI with diabetes risk. RESEARCH DESIGN AND

methodsWe pooled individual-level data from 29 nationally representative surveys conducted between 2008 and 2016, totaling 588,574 participants aged ≥25 years. Diabetes prevalence and the subset with undiagnosed diabetes was calculated overall and by country, World Bank income group (WBIG), and geographic region. Multivariable Poisson regression models were used to estimate relative risk (RR).

resultsOverall, prevalence of diabetes in 29 LMICs was 7.5% (95% CI 7.1-8.0) and of undiagnosed diabetes 4.9% (4.6-5.3). Diabetes prevalence increased with increasing WBIG: countries with low-income economies (LICs) 6.7% (5.5-8.1), lower-middle-income economies (LMIs) 7.1% (6.6-7.6), and upper-middle-income economies (UMIs) 8.2% (7.5-9.0). Compared with no formal education, greater educational attainment was associated with an increased risk of diabetes across WBIGs, after adjusting for BMI (LICs RR 1.47 [95% CI 1.22-1.78], LMIs 1.14 [1.06-1.23], and UMIs 1.28 [1.02-1.61]).

conclusionsAmong 29 LMICs, diabetes prevalence was substantial and increased with increasing WBIG. In contrast to the association seen in high-income countries, diabetes risk was highest among those with greater educational attainment, independent of BMI. LMICs included in this analysis may be at an advanced stage in the nutrition transition but with no reversal in the socioeconomic gradient of diabetes risk.

Indexed as

Body Mass IndexEducational StatusAdultAgedAged, 80 and overCross-Sectional StudiesDeveloping CountriesDiabetes MellitusFemaleHumansIncomeMaleMiddle AgedPovertyPrevalenceSocial Class

Identifiers

PMID32051243
PMCPMC7085810

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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.