Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study

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 d...

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Published in:Diabetes Care
Main Author: Dagenais G.R.; Gerstein H.C.; Zhang X.; McQueen M.; Lear S.; Lopez-Jaramillo P.; Mohan V.; Mony P.; Gupta R.; Kutty V.R.; Kumar R.; Rahman O.; Yusoff K.; Zatonska K.; Oguz A.; Rosengren A.; Kelishadi R.; Yusufali A.; Diaz R.; Avezum A.; Lanas F.; Kruger A.; Peer N.; Chifamba J.; Iqbal R.; Ismail N.; Xiulin B.; Jiankang L.; Wenqing D.; Gejie Y.; Rangarajan S.; Teo K.; Yusuf S.
Format: Article
Language:English
Published: American Diabetes Association Inc. 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964755397&doi=10.2337%2fdc15-2338&partnerID=40&md5=82128da2e893536324a8523da64c6b19
id 2-s2.0-84964755397
spelling 2-s2.0-84964755397
Dagenais G.R.; Gerstein H.C.; Zhang X.; McQueen M.; Lear S.; Lopez-Jaramillo P.; Mohan V.; Mony P.; Gupta R.; Kutty V.R.; Kumar R.; Rahman O.; Yusoff K.; Zatonska K.; Oguz A.; Rosengren A.; Kelishadi R.; Yusufali A.; Diaz R.; Avezum A.; Lanas F.; Kruger A.; Peer N.; Chifamba J.; Iqbal R.; Ismail N.; Xiulin B.; Jiankang L.; Wenqing D.; Gejie Y.; Rangarajan S.; Teo K.; Yusuf S.
Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study
2016
Diabetes Care
39
5
10.2337/dc15-2338
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964755397&doi=10.2337%2fdc15-2338&partnerID=40&md5=82128da2e893536324a8523da64c6b19
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. © 2016 by the American Diabetes Association.
American Diabetes Association Inc.
1495992
English
Article
All Open Access; Bronze Open Access
author Dagenais G.R.; Gerstein H.C.; Zhang X.; McQueen M.; Lear S.; Lopez-Jaramillo P.; Mohan V.; Mony P.; Gupta R.; Kutty V.R.; Kumar R.; Rahman O.; Yusoff K.; Zatonska K.; Oguz A.; Rosengren A.; Kelishadi R.; Yusufali A.; Diaz R.; Avezum A.; Lanas F.; Kruger A.; Peer N.; Chifamba J.; Iqbal R.; Ismail N.; Xiulin B.; Jiankang L.; Wenqing D.; Gejie Y.; Rangarajan S.; Teo K.; Yusuf S.
spellingShingle Dagenais G.R.; Gerstein H.C.; Zhang X.; McQueen M.; Lear S.; Lopez-Jaramillo P.; Mohan V.; Mony P.; Gupta R.; Kutty V.R.; Kumar R.; Rahman O.; Yusoff K.; Zatonska K.; Oguz A.; Rosengren A.; Kelishadi R.; Yusufali A.; Diaz R.; Avezum A.; Lanas F.; Kruger A.; Peer N.; Chifamba J.; Iqbal R.; Ismail N.; Xiulin B.; Jiankang L.; Wenqing D.; Gejie Y.; Rangarajan S.; Teo K.; Yusuf S.
Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study
author_facet Dagenais G.R.; Gerstein H.C.; Zhang X.; McQueen M.; Lear S.; Lopez-Jaramillo P.; Mohan V.; Mony P.; Gupta R.; Kutty V.R.; Kumar R.; Rahman O.; Yusoff K.; Zatonska K.; Oguz A.; Rosengren A.; Kelishadi R.; Yusufali A.; Diaz R.; Avezum A.; Lanas F.; Kruger A.; Peer N.; Chifamba J.; Iqbal R.; Ismail N.; Xiulin B.; Jiankang L.; Wenqing D.; Gejie Y.; Rangarajan S.; Teo K.; Yusuf S.
author_sort Dagenais G.R.; Gerstein H.C.; Zhang X.; McQueen M.; Lear S.; Lopez-Jaramillo P.; Mohan V.; Mony P.; Gupta R.; Kutty V.R.; Kumar R.; Rahman O.; Yusoff K.; Zatonska K.; Oguz A.; Rosengren A.; Kelishadi R.; Yusufali A.; Diaz R.; Avezum A.; Lanas F.; Kruger A.; Peer N.; Chifamba J.; Iqbal R.; Ismail N.; Xiulin B.; Jiankang L.; Wenqing D.; Gejie Y.; Rangarajan S.; Teo K.; Yusuf S.
title Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study
title_short Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study
title_full Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study
title_fullStr Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study
title_full_unstemmed Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study
title_sort Variations in diabetes prevalence in low-, middle-, and high-income countries: Results from the prospective urban and rural epidemiological study
publishDate 2016
container_title Diabetes Care
container_volume 39
container_issue 5
doi_str_mv 10.2337/dc15-2338
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964755397&doi=10.2337%2fdc15-2338&partnerID=40&md5=82128da2e893536324a8523da64c6b19
description 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. © 2016 by the American Diabetes Association.
publisher American Diabetes Association Inc.
issn 1495992
language English
format Article
accesstype All Open Access; Bronze Open Access
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