TY - JOUR
T1 - Variations in diabetes prevalence in low-, middle-, and high-income countries
T2 - Results from the prospective urban and rural epidemiological study
AU - Dagenais, Gilles R.
AU - Gerstein, Hertzel C.
AU - Zhang, Xiaohe
AU - McQueen, Matthew
AU - Lear, Scott
AU - Lopez-Jaramillo, Patricio
AU - Mohan, Viswanathan
AU - Mony, Prem
AU - Gupta, Rajeev
AU - Kutty, V. Raman
AU - Kumar, Rajesh
AU - Rahman, Omar
AU - Yusoff, Khalid
AU - Zatonska, Katarzyna
AU - Oguz, Aytekin
AU - Rosengren, Annika
AU - Kelishadi, Roya
AU - Yusufali, Afzalhussein
AU - Diaz, Rafael
AU - Avezum, Alvaro
AU - Lanas, Fernando
AU - Kruger, Annamarie
AU - Peer, Nasheeta
AU - Chifamba, Jephat
AU - Iqbal, Romaina
AU - Ismail, Noorhassim
AU - Xiulin, Bai
AU - Jiankang, Liu
AU - Wenqing, Deng
AU - Gejie, Yue
AU - Rangarajan, Sumathy
AU - Teo, Koon
AU - Yusuf, Salim
N1 - Publisher Copyright:
© 2016 by the American Diabetes Association.
PY - 2016/5
Y1 - 2016/5
N2 - 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 uppermiddle-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 ofdiabetes 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.
AB - 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 uppermiddle-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 ofdiabetes 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.
UR - http://www.scopus.com/inward/record.url?scp=84964755397&partnerID=8YFLogxK
U2 - 10.2337/dc15-2338
DO - 10.2337/dc15-2338
M3 - Article
C2 - 26965719
AN - SCOPUS:84964755397
SN - 0149-5992
VL - 39
SP - 780
EP - 787
JO - Diabetes Care
JF - Diabetes Care
IS - 5
ER -