Thursday, February 28, 2013

New evidence for a direct sugar-to-diabetes link !


Sugar consumption and diabetes risk may be more closely linked than anyone realized.
For years, research has supported a roundabout path from excess sugar intake to type 2 diabetes. Eat too much of anything, including sugar, and the resulting weight gain raises your diabetes risk, the theory goes. There’s lots of evidence to support this pattern, but also a big hitch: A small but noteworthy proportion of people with type 2 diabetes aren’t overweight or obese. And up to 40 percent of normal-weight people show signs of the metabolic syndrome, a constellation of metabolic disturbances that predisposes people to diabetes.

From our press release on the study:

Not only was sugar availability correlated to diabetes risk, but the longer a population was exposed to excess sugar, the higher its diabetes rate after controlling for obesity and other factors. In addition, diabetes rates dropped over time when sugar availability dropped, independent of changes to consumption of other calories and physical activity or obesity rates.
 The findings do not prove that sugar causes diabetes, Basu emphasized, but do provide real-world support for the body of previous laboratory and experimental trials that suggest sugar affects the liver and pancreas in ways that other types of foods or obesity do not. “We really put the data through a wringer in order to test it out,” Basu said.

“As far as I know, this is the first paper that has had data on the relationship of sugar consumption to diabetes,” said Marion Nestle, PhD, a professor of nutrition, food studies and public health at New York University who was not involved in the study. “This has been a source of controversy forever. It’s been very, very difficult to separate sugar from the calories it provides. This work is carefully done, it’s interesting and it deserves attention.”

More here.

Edit to add link to full study:

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

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0057873

Graham

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