TY - JOUR
T1 - Societal correlates of diabetes prevalence
T2 - An analysis across 94 countries
AU - Siegel, Karen R.
AU - Echouffo-Tcheugui, Justin B.
AU - Ali, Mohammed K.
AU - Mehta, Neil K.
AU - Narayan, K. M.
AU - Chetty, Veerappa
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012/4
Y1 - 2012/4
N2 - Aims: To quantify relationships between societal-level factors and diabetes prevalence and identify potential policy responses. Methods: Using data from International Diabetes Federation, World Health Organization, World Bank, and Food and Agricultural Organization, we extracted recent estimates for country-level variables: total caloric availability; sugar, animal fat, fruit and vegetable availability; physical inactivity markers (vehicles per capita and value-added from service sector); gross domestic product per capita (GDP); imports; and age-adjusted mortality rate. We used generalized linear models to investigate relationships between these factors and diabetes prevalence. Results: Median global diabetes prevalence was 6.4% in 2010. Every additional percentage point of calories from sugar/sweeteners and from animal fats were associated with 5% (OR: 1.05, 95% CI 1.02-1.07) and 3% (OR: 1.03, 95% CI 0.99-1.06) higher diabetes prevalence, respectively, while each additional unit in fruit and vegetable availability was associated with 3% lower diabetes prevalence (OR: 0.97, 95% CI 0.93-0.99). One percent higher GDP from the service industry was associated with a 1% higher diabetes prevalence (OR: 1.01, 95% CI 0.99-1.02). Conclusion: Macro-level societal factors are associated with diabetes prevalence. Investigating how these factors affect individual-level diabetes risk may offer further insight into policy-level interventions.
AB - Aims: To quantify relationships between societal-level factors and diabetes prevalence and identify potential policy responses. Methods: Using data from International Diabetes Federation, World Health Organization, World Bank, and Food and Agricultural Organization, we extracted recent estimates for country-level variables: total caloric availability; sugar, animal fat, fruit and vegetable availability; physical inactivity markers (vehicles per capita and value-added from service sector); gross domestic product per capita (GDP); imports; and age-adjusted mortality rate. We used generalized linear models to investigate relationships between these factors and diabetes prevalence. Results: Median global diabetes prevalence was 6.4% in 2010. Every additional percentage point of calories from sugar/sweeteners and from animal fats were associated with 5% (OR: 1.05, 95% CI 1.02-1.07) and 3% (OR: 1.03, 95% CI 0.99-1.06) higher diabetes prevalence, respectively, while each additional unit in fruit and vegetable availability was associated with 3% lower diabetes prevalence (OR: 0.97, 95% CI 0.93-0.99). One percent higher GDP from the service industry was associated with a 1% higher diabetes prevalence (OR: 1.01, 95% CI 0.99-1.02). Conclusion: Macro-level societal factors are associated with diabetes prevalence. Investigating how these factors affect individual-level diabetes risk may offer further insight into policy-level interventions.
KW - Agriculture
KW - Diabetes
KW - Global health
KW - Health policy
KW - NCDs
KW - Societal determinants
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U2 - 10.1016/j.diabres.2011.11.014
DO - 10.1016/j.diabres.2011.11.014
M3 - Article
C2 - 22189172
AN - SCOPUS:84858751598
SN - 0168-8227
VL - 96
SP - 76
EP - 83
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
IS - 1
ER -