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

Author:

Dagenais Gilles R.1,Gerstein Hertzel C.2,Zhang Xiaohe2,McQueen Matthew2,Lear Scott3,Lopez-Jaramillo Patricio4,Mohan Viswanathan5,Mony Prem6,Gupta Rajeev7,Kutty V. Raman8,Kumar Rajesh9,Rahman Omar10,Yusoff Khalid1112,Zatonska Katarzyna13,Oguz Aytekin14,Rosengren Annika15,Kelishadi Roya16,Yusufali Afzalhussein17,Diaz Rafael18,Avezum Alvaro19,Lanas Fernando20,Kruger Annamarie21,Peer Nasheeta2223,Chifamba Jephat24,Iqbal Romaina25,Ismail Noorhassim26,Xiulin Bai27,Jiankang Liu28,Wenqing Deng29,Gejie Yue30,Rangarajan Sumathy2,Teo Koon2,Yusuf Salim2

Affiliation:

1. Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Quebec, Canada

2. Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada

3. Faculty of Health Sciences, Simon Fraser University, and Healthy Heart Program, St. Paul’s Hospital, Vancouver, British Columbia, Canada

4. Fundación Oftalmológica de Santander (FOSCAL), Floridablanca, Santander, Colombia

5. Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India

6. Division of Epidemiology, Biostatistics and Population Health, St. John’s Research Institute, Bangalore, India

7. Fortis Escorts Hospital, Malviya Nagar, Jaipur, India

8. Health Action by People, Thiruvananthapuram, Kerala, India

9. PGIMER School of Public Health, Chandigarh, India

10. Independent University, Bangladesh, Bashundhara, Dhaka, Bangladesh

11. Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia

12. UCSI University, Cheras, Selangor, Malaysia

13. Department of Social Medicine, Wroclaw Medical University, Wroclaw, Poland

14. Faculty of Medicine, Department of Internal Medicine, Istanbul Medeniyet University, Istanbul, Turkey

15. Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, and Sahlgrenska University Hospital/Östra, Göteborg, Sweden

16. Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran

17. Hatta Hospital, Dubai Health Authority, Dubai, United Arab Emirates

18. Estudios Clínicos Latinoamérica, Rosario, Argentina

19. Dante Pazzanese Institute of Cardiology, São Paulo, São Paulo, Brazil

20. Universidad de La Frontera, Temuco, Chile

21. Faculty of Health Sciences, North-West University, Potchefstroom, South Africa

22. Non-communicable Diseases Research Unit, South African Medical Research Council, Durban, KwaZulu-Natal, South Africa

23. Department of Medicine, University of Cape Town, Cape Town, Western Cape, South Africa

24. Physiology Department, College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe

25. Departments of Community Health Sciences and Medicine, The Aga Khan University, Karachi, Pakistan

26. Department of Community Health, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia

27. Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, FuWai Hospital, Beijing, China

28. Jianshe Road Community Health Center, Chengdu City, Sichuan Province, China

29. Health Center, Dayicaichang Town, Sichuan Province, China

30. Qiluhuayuan Hospital, Jinan City, Shandong Province, China

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.

Funder

Population Health Research Institute

Canadian Institute of Health Research

Ontario Heart and Stroke Foundation

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference34 articles.

1. International Diabetes Federation. IDF Diabetes Atlas. 6th edition. [Internet], 2013. Available from https://www.idf.org/sites/default/files/EN_6E_Atlas_Full_0.pdf. Accessed 7 October 2014

2. National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants;Danaei;Lancet,2011

3. Globalization of diabetes: the role of diet, lifestyle, and genes;Hu;Diabetes Care,2011

4. Diabetes in Asia: epidemiology, risk factors, and pathophysiology;Chan;JAMA,2009

5. Diabetes in Asia;Ramachandran;Lancet,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3