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Epidemiology/Health Services Research

Variations in Diabetes Prevalence in Low-, Middle-, and High-Income Countries: Results From the Prospective Urban and Rural Epidemiological Study

  1. Gilles R. Dagenais1⇑,
  2. Hertzel C. Gerstein2,
  3. Xiaohe Zhang2,
  4. Matthew McQueen2,
  5. Scott Lear3,
  6. Patricio Lopez-Jaramillo4,
  7. Viswanathan Mohan5,
  8. Prem Mony6,
  9. Rajeev Gupta7,
  10. V. Raman Kutty8,
  11. Rajesh Kumar9,
  12. Omar Rahman10,
  13. Khalid Yusoff11,12,
  14. Katarzyna Zatonska13,
  15. Aytekin Oguz14,
  16. Annika Rosengren15,
  17. Roya Kelishadi16,
  18. Afzalhussein Yusufali17,
  19. Rafael Diaz18,
  20. Alvaro Avezum19,
  21. Fernando Lanas20,
  22. Annamarie Kruger21,
  23. Nasheeta Peer22,23,
  24. Jephat Chifamba24,
  25. Romaina Iqbal25,
  26. Noorhassim Ismail26,
  27. Bai Xiulin27,
  28. Liu Jiankang28,
  29. Deng Wenqing29,
  30. Yue Gejie30,
  31. Sumathy Rangarajan2,
  32. Koon Teo2 and
  33. Salim Yusuf2
  1. 1Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Quebec, Canada
  2. 2Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
  3. 3Faculty of Health Sciences, Simon Fraser University, and Healthy Heart Program, St. Paul’s Hospital, Vancouver, British Columbia, Canada
  4. 4Fundación Oftalmológica de Santander (FOSCAL), Floridablanca, Santander, Colombia
  5. 5Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
  6. 6Division of Epidemiology, Biostatistics and Population Health, St. John’s Research Institute, Bangalore, India
  7. 7Fortis Escorts Hospital, Malviya Nagar, Jaipur, India
  8. 8Health Action by People, Thiruvananthapuram, Kerala, India
  9. 9PGIMER School of Public Health, Chandigarh, India
  10. 10Independent University, Bangladesh, Bashundhara, Dhaka, Bangladesh
  11. 11Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
  12. 12UCSI University, Cheras, Selangor, Malaysia
  13. 13Department of Social Medicine, Wroclaw Medical University, Wroclaw, Poland
  14. 14Faculty of Medicine, Department of Internal Medicine, Istanbul Medeniyet University, Istanbul, Turkey
  15. 15Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, and Sahlgrenska University Hospital/Östra, Göteborg, Sweden
  16. 16Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  17. 17Hatta Hospital, Dubai Health Authority, Dubai, United Arab Emirates
  18. 18Estudios Clínicos Latinoamérica, Rosario, Argentina
  19. 19Dante Pazzanese Institute of Cardiology, São Paulo, São Paulo, Brazil
  20. 20Universidad de La Frontera, Temuco, Chile
  21. 21Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
  22. 22Non-communicable Diseases Research Unit, South African Medical Research Council, Durban, KwaZulu-Natal, South Africa
  23. 23Department of Medicine, University of Cape Town, Cape Town, Western Cape, South Africa
  24. 24Physiology Department, College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe
  25. 25Departments of Community Health Sciences and Medicine, The Aga Khan University, Karachi, Pakistan
  26. 26Department of Community Health, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
  27. 27Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, FuWai Hospital, Beijing, China
  28. 28Jianshe Road Community Health Center, Chengdu City, Sichuan Province, China
  29. 29Health Center, Dayicaichang Town, Sichuan Province, China
  30. 30Qiluhuayuan Hospital, Jinan City, Shandong Province, China
  1. Corresponding author: Gilles R. Dagenais, gilles.dagenais{at}criucpq.ulaval.ca.
Diabetes Care 2016 May; 39(5): 780-787. https://doi.org/10.2337/dc15-2338
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Abstract

OBJECTIVE The goal of this study was to assess whether diabetes prevalence varies by countries at different economic levels and whether this can be explained by known risk factors.

RESEARCH DESIGN AND METHODS The prevalence of diabetes, defined as self-reported or fasting glycemia ≥7 mmol/L, was documented in 119,666 adults from three high-income (HIC), seven upper-middle-income (UMIC), four lower-middle-income (LMIC), and four low-income (LIC) countries. Relationships between diabetes and its risk factors within these country groupings were assessed using multivariable analyses.

RESULTS Age- and sex-adjusted diabetes prevalences were highest in the poorer countries and lowest in the wealthiest countries (LIC 12.3%, UMIC 11.1%, LMIC 8.7%, and HIC 6.6%; P < 0.0001). In the overall population, diabetes risk was higher with a 5-year increase in age (odds ratio 1.29 [95% CI 1.28–1.31]), male sex (1.19 [1.13–1.25]), urban residency (1.24 [1.11–1.38]), low versus high education level (1.10 [1.02–1.19]), low versus high physical activity (1.28 [1.20–1.38]), family history of diabetes (3.15 [3.00–3.31]), higher waist-to-hip ratio (highest vs. lowest quartile; 3.63 [3.33–3.96]), and BMI (≥35 vs. <25 kg/m2; 2.76 [2.52–3.03]). The relationship between diabetes prevalence and both BMI and family history of diabetes differed in higher- versus lower-income country groups (P for interaction < 0.0001). After adjustment for all risk factors and ethnicity, diabetes prevalences continued to show a gradient (LIC 14.0%, LMIC 10.1%, UMIC 10.9%, and HIC 5.6%).

CONCLUSIONS Conventional risk factors do not fully account for the higher prevalence of diabetes in LIC countries. These findings suggest that other factors are responsible for the higher prevalence of diabetes in LIC countries.

Footnotes

  • This article contains Supplementary Data online at http://care.diabetesjournals.org/lookup/suppl/doi:10.2337/dc15-2338/-/DC1.

  • Received October 28, 2015.
  • Accepted February 11, 2016.
  • © 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
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Variations in Diabetes Prevalence in Low-, Middle-, and High-Income Countries: Results From the Prospective Urban and Rural Epidemiological Study
Gilles R. Dagenais, Hertzel C. Gerstein, Xiaohe Zhang, Matthew McQueen, Scott Lear, Patricio Lopez-Jaramillo, Viswanathan Mohan, Prem Mony, Rajeev Gupta, V. Raman Kutty, Rajesh Kumar, Omar Rahman, Khalid Yusoff, Katarzyna Zatonska, Aytekin Oguz, Annika Rosengren, Roya Kelishadi, Afzalhussein Yusufali, Rafael Diaz, Alvaro Avezum, Fernando Lanas, Annamarie Kruger, Nasheeta Peer, Jephat Chifamba, Romaina Iqbal, Noorhassim Ismail, Bai Xiulin, Liu Jiankang, Deng Wenqing, Yue Gejie, Sumathy Rangarajan, Koon Teo, Salim Yusuf
Diabetes Care May 2016, 39 (5) 780-787; DOI: 10.2337/dc15-2338

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Variations in Diabetes Prevalence in Low-, Middle-, and High-Income Countries: Results From the Prospective Urban and Rural Epidemiological Study
Gilles R. Dagenais, Hertzel C. Gerstein, Xiaohe Zhang, Matthew McQueen, Scott Lear, Patricio Lopez-Jaramillo, Viswanathan Mohan, Prem Mony, Rajeev Gupta, V. Raman Kutty, Rajesh Kumar, Omar Rahman, Khalid Yusoff, Katarzyna Zatonska, Aytekin Oguz, Annika Rosengren, Roya Kelishadi, Afzalhussein Yusufali, Rafael Diaz, Alvaro Avezum, Fernando Lanas, Annamarie Kruger, Nasheeta Peer, Jephat Chifamba, Romaina Iqbal, Noorhassim Ismail, Bai Xiulin, Liu Jiankang, Deng Wenqing, Yue Gejie, Sumathy Rangarajan, Koon Teo, Salim Yusuf
Diabetes Care May 2016, 39 (5) 780-787; DOI: 10.2337/dc15-2338
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