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Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries.
Seiglie, Jacqueline A; Marcus, Maja-Emilia; Ebert, Cara; Prodromidis, Nikolaos; Geldsetzer, Pascal; Theilmann, Michaela; Agoudavi, Kokou; Andall-Brereton, Glennis; Aryal, Krishna K; Bicaba, Brice Wilfried; Bovet, Pascal; Brian, Garry; Dorobantu, Maria; Gathecha, Gladwell; Gurung, Mongal Singh; Guwatudde, David; Msaidié, Mohamed; Houehanou, Corine; Houinato, Dismand; Jorgensen, Jutta Mari Adelin; Kagaruki, Gibson B; Karki, Khem B; Labadarios, Demetre; Martins, Joao S; Mayige, Mary T; Wong-McClure, Roy; Mwangi, Joseph Kibachio; Mwalim, Omar; Norov, Bolormaa; Quesnel-Crooks, Sarah; Silver, Bahendeka K; Sturua, Lela; Tsabedze, Lindiwe; Wesseh, Chea Stanford; Stokes, Andrew; Atun, Rifat; Davies, Justine I; Vollmer, Sebastian; Bärnighausen, Till W; Jaacks, Lindsay M; Meigs, James B; Wexler, Deborah J; Manne-Goehler, Jennifer.
Affiliation
  • Seiglie JA; Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA jseiglie@partners.org.
  • Marcus ME; Department of Medicine, Harvard Medical School, Boston, MA.
  • Ebert C; Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
  • Prodromidis N; Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
  • Geldsetzer P; Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
  • Theilmann M; Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA.
  • Agoudavi K; Institute of Global Health, Heidelberg University, Heidelberg, Germany.
  • Andall-Brereton G; Ministry of Health, Lome, Togo.
  • Aryal KK; Non-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago.
  • Bicaba BW; Nepal Health Research Council, Kathmandu, Nepal.
  • Bovet P; Institut Africain de Santé publique, Ouagadougou, Burkina Faso.
  • Brian G; Ministry of Health, Victoria, Republic of Seychelles.
  • Dorobantu M; University Center for Primary Care and Public Health, Lausanne, Switzerland.
  • Gathecha G; The Fred Hollows Foundation NZ, Auckland, New Zealand.
  • Gurung MS; Cardiology Department, Emergency Hospital of Bucharest, Bucharest, Romania.
  • Guwatudde D; Division of Non-Communicable Diseases, Kenya Ministry of Health, Nairobi, Kenya.
  • Msaidié M; Health Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan.
  • Houehanou C; Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.
  • Houinato D; Comoros Ministry of Health, Solidarity, Social Cohesion and Gender, Moroni, Comoros.
  • Jorgensen JMA; Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
  • Kagaruki GB; Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
  • Karki KB; Partners In Health, Boston, MA.
  • Labadarios D; National Institute for Medical Research, Dar es Salaam, Tanzania.
  • Martins JS; Department of Community Medicine and Public Health, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
  • Mayige MT; Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
  • Wong-McClure R; Faculty of Medicine and Health Sciences, National University of East Timor, Dili, Timor-Leste.
  • Mwangi JK; National Institute for Medical Research, Dar es Salaam, Tanzania.
  • Mwalim O; Epidemiology Office and Surveillance, Caja Costarricense de Seguro Social, San Jose, Costa Rica.
  • Norov B; Division of Non-Communicable Diseases, Kenya Ministry of Health, Nairobi, Kenya.
  • Quesnel-Crooks S; Faculté de médecine, Université de Genève, Geneva, Switzerland.
  • Silver BK; Zanzibar Ministry of Health, Mnazi Mmoja, Zanzibar.
  • Sturua L; National Center for Public Health, Ulaanbaatar, Mongolia.
  • Tsabedze L; Non-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago.
  • Wesseh CS; St. Francis Hospital, Nsambya, Kampala, Uganda.
  • Stokes A; Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia.
  • Atun R; Swaziland Ministry of Health, Mbabane, Swaziland.
  • Davies JI; Liberia Ministry of Health, Monrovia, Liberia.
  • Vollmer S; Center for Global Health and Development, Boston University, Boston, MA.
  • Bärnighausen TW; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA.
  • Jaacks LM; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA.
  • Meigs JB; MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
  • Wexler DJ; Institute of Applied Health Research, University of Birmingham, Birmingham, U.K.
  • Manne-Goehler J; Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.
Diabetes Care ; 43(4): 767-775, 2020 04.
Article in En | MEDLINE | ID: mdl-32051243
ABSTRACT

OBJECTIVE:

Diabetes 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

METHODS:

We 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).

RESULTS:

Overall, 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]).

CONCLUSIONS:

Among 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.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Body Mass Index / Developing Countries / Diabetes Mellitus / Educational Status / Income Type of study: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Body Mass Index / Developing Countries / Diabetes Mellitus / Educational Status / Income Type of study: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Year: 2020 Type: Article