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The Relationship of Sugar to Population-Level Diabetes Prevalence: An Econometric Analysis of Repeated Cross-Sectional Data

Overview of attention for article published in PLOS ONE, February 2013
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Title
The Relationship of Sugar to Population-Level Diabetes Prevalence: An Econometric Analysis of Repeated Cross-Sectional Data
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0057873
Pubmed ID
Authors

Sanjay Basu, Paula Yoffe, Nancy Hills, Robert H. Lustig

Abstract

While experimental and observational studies suggest that sugar intake is associated with the development of type 2 diabetes, independent of its role in obesity, it is unclear whether alterations in sugar intake can account for differences in diabetes prevalence among overall populations. Using econometric models of repeated cross-sectional data on diabetes and nutritional components of food from 175 countries, we found that every 150 kcal/person/day increase in sugar availability (about one can of soda/day) was associated with increased diabetes prevalence by 1.1% (p <0.001) after testing for potential selection biases and controlling for other food types (including fibers, meats, fruits, oils, cereals), total calories, overweight and obesity, period-effects, and several socioeconomic variables such as aging, urbanization and income. No other food types yielded significant individual associations with diabetes prevalence after controlling for obesity and other confounders. The impact of sugar on diabetes was independent of sedentary behavior and alcohol use, and the effect was modified but not confounded by obesity or overweight. Duration and degree of sugar exposure correlated significantly with diabetes prevalence in a dose-dependent manner, while declines in sugar exposure correlated with significant subsequent declines in diabetes rates independently of other socioeconomic, dietary and obesity prevalence changes. Differences in sugar availability statistically explain variations in diabetes prevalence rates at a population level that are not explained by physical activity, overweight or obesity.

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Geographical breakdown

Country Count As %
United States 12 1%
United Kingdom 4 <1%
Australia 2 <1%
Spain 2 <1%
Italy 1 <1%
Panama 1 <1%
Brazil 1 <1%
Ireland 1 <1%
Indonesia 1 <1%
Other 7 <1%
Unknown 796 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 159 19%
Student > Master 114 14%
Researcher 90 11%
Student > Ph. D. Student 75 9%
Student > Postgraduate 51 6%
Other 156 19%
Unknown 183 22%
Readers by discipline Count As %
Medicine and Dentistry 194 23%
Agricultural and Biological Sciences 93 11%
Nursing and Health Professions 80 10%
Biochemistry, Genetics and Molecular Biology 46 6%
Social Sciences 37 4%
Other 168 20%
Unknown 210 25%