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Variations in diabetes prevalence in low-middle-and high-income countries: results from the prospective urban and rural epidemiological study
Dagenais, Gilles R; Gerstein, Hertzel C; Zhang, Xiaohe; McQueen, Matthew; Lear, Scott; Lopez-Jaramillo, Patricio; Mohan, Viswanathan; Mony, Prem; Gupta, Rajeev; Kutty, V. Raman; Kumar, Rajesh; Avezum, Alvaro; Rahman, Omar; Yusoff, Khalid; Zatonska, Katarzyna; Oguz, Aytekin; Rosengren, Annika; Kelishadi, Roya; Yusufali, Afzalhussein; Diaz, Rafael; Lanas, Fernando; Kruger, Annamarie; Peer, Nasheeta; Chifamba, Jephat; Iqbal, Romaina; Ismail, Noorhassim; Xiulin, Bai; Jiankang, Liu; Wenqing, Deng; Gejie, Yue; Rangarajan, Sumathy; Teo, Koon; Yusuf, Salim.
Afiliação
  • Dagenais, Gilles R; Institut Universitaire de Cardiologie et de Pneumologie de Québec. Québec. CA
  • Gerstein, Hertzel C; Population Health Research Institute, Hamilton Health Sciences. Hamilton. CA
  • Zhang, Xiaohe; Population Health Research Institute, Hamilton Health Sciences. Hamilton. CA
  • McQueen, Matthew; Population Health Research Institute, Hamilton Health Sciences. Hamilton. CA
  • Lear, Scott; Faculty of Health Sciences, Simon Fraser University. Vancouver. CA
  • Lopez-Jaramillo, Patricio; Fundación Oftalmológica de Santander (FOSCAL). Santander. CO
  • Mohan, Viswanathan; Madras Diabetes Research Foundation. Tamil Nadu. IN
  • Mony, Prem; Biostatistics and Population Health, St. John's Research Institute. Bangalore. IN
  • Gupta, Rajeev; Fortis Escorts Hospital. Jaipur. IN
  • Kutty, V. Raman; Health Action by People. Kerala. IN
  • Kumar, Rajesh; PGIMER School of Public Health. Chandigarh. IN
  • Avezum, Alvaro; Instituto Dante Pazzanese de Cardiologia. Sao Paulo. BR
  • Rahman, Omar; Independent University. Dhaka. BD
  • Yusoff, Khalid; Universiti Teknologi MARA. Selangor. MY
  • Zatonska, Katarzyna; Wroclaw Medical University. Wroclaw. PL
  • Oguz, Aytekin; Faculty of Medicine, Department of Internal Medicine, Istanbul Medeniyet University. Istanbul. TR
  • Rosengren, Annika; University of Gothenburg, and Sahlgrenska University Hospital. Göteborg. SE
  • Kelishadi, Roya; Cardiovascular Research Institute, Isfahan University of Medical Sciences. Isfahan. IR
  • Yusufali, Afzalhussein; Hatta Hospital, Dubai Health Authority. Dubai. AE
  • Diaz, Rafael; Estudios Clínicos Latinoamérica. Rosario. AR
  • Lanas, Fernando; Universidad de La Frontera. Temuco. CL
  • Kruger, Annamarie; Faculty of Health Sciences. Potchefstroom. ZA
  • Peer, Nasheeta; South African Medical Research Council. KwaZulu-Natal. ZA
  • Chifamba, Jephat; University of Zimbabwe. Harare. ZW
  • Iqbal, Romaina; The Aga Khan University. Karachi. PK
  • Ismail, Noorhassim; Universiti Kebangsaan Malaysia Medical Centre. Kuala Lumpur. MY
  • Xiulin, Bai; Medical Research & Biometrics Center, National Center for Cardiovascular Diseases. Beijing. CN
  • Jiankang, Liu; Jianshe Road Community Health Center. Sichuan Province. CN
  • Wenqing, Deng; Health Center, Dayicaichang Town. Sichuan Province. CN
  • Gejie, Yue; Qiluhuayuan Hospital, Jinan City. Shandong Province. CN
  • Rangarajan, Sumathy; Population Health Research Institute, Hamilton Health Sciences and McMaster University. Hamilton. CA
  • Teo, Koon; Population Health Research Institute, Hamilton Health Sciences and McMaster University. Hamilton. CA
  • Yusuf, Salim; Population Health Research Institute, Hamilton Health Sciences and McMaster University. Hamilton. CA
Diabetes care ; 39(5): 780-787, 2016.
Article em En | SES-SP, SESSP-IDPCPROD, SES-SP | ID: biblio-1062389
Biblioteca responsável: BR79.1
Localização: BR79.1
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/m(2); 2.76 [2.52-3.03])...
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Coleções: 06-national / BR Base de dados: SES-SP / SESSP-IDPCPROD Assunto principal: Fatores de Risco / Diabetes Mellitus Tipo de estudo: Etiology_studies / Prevalence_studies Idioma: En Revista: Diabetes care Ano de publicação: 2016 Tipo de documento: Article
Buscar no Google
Adicionar na Minha BVS
Imprimir
XML
Coleções: 06-national / BR Base de dados: SES-SP / SESSP-IDPCPROD Assunto principal: Fatores de Risco / Diabetes Mellitus Tipo de estudo: Etiology_studies / Prevalence_studies Idioma: En Revista: Diabetes care Ano de publicação: 2016 Tipo de documento: Article