Higher blood sugar, even short of diabetes, may raise the risk of dementia, study suggests
Gestational diabetes develops during pregnancy and resembles other forms of diabetes in that it affects how your cells use sugar (glucose). With gestational diabetes, a mother’s blood sugar should return to normal soon after delivery. However, the condition puts women at risk for type 2 diabetes in the future. For every 100 pregnant women in the U.S, two to 10 will have gestational diabetes, the Center for Disease Control and Prevention says . Gestational diabetes affects mom, baby How to prevent Type 2 diabetes A woman who has gestational diabetes during pregnancy and maintains a high blood-sugar level may have a baby born abnormally large, weighing 9 pounds or more, the CDC says.
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The results challenge current thinking by showing that its not just the high glucose levels of diabetes that are a concern, said the studys leader, Dr. Paul Crane of the University of Washington in Seattle. Its a nice, clean pattern risk rises as blood sugar does, said Dallas Anderson, a scientist at the National Institute on Aging, the federal agency that paid for the study. This is part of a larger picture and adds evidence that exercising and controlling blood pressure, blood sugar and cholesterol are a viable way to delay or prevent dementia, he said. Because so many attempts to develop effective drugs have failed, It looks like, at the moment, sort of our best bet, Anderson said. We have to do something.
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Diabetes nutrition: Eating out when you have diabetes
But you can enjoy small servings of these without adjusting your meal plan. Ask for them on the side to further control how much of them you eat. Eating out. American Diabetes Association. http://www.diabetes.org/food-and-fitness/food/what-can-i-eat/eating-out/. Accessed May 27, 2013.
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Escape from Poverty Helps Explain Diabetes Epidemic in the American South
Only 15 percent of walkers and 13 percent of cyclists, however, were obese. The researchers found other health benefits. Cyclists were about 50 percent less likely to have diabetes compared to drivers. People who walked to work were 40 percent less likely to have diabetes and 17 percent less likely to have high blood pressure compared to those who took their cars.
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Type 1 Diabetes Drug Proves Effective in Clinical Trial
Reasons for the different responses are unclear, but likely involve differences in the metabolic condition of the patients and in the severity of their disease at the trials start, the researchers said. Kevan Herold, MD, PhD The benefits of treatment among the patients who still had moderately healthy insulin production suggests that the sooner we can detect the pre-diabetes condition and get this kind of drug onboard, the more people we can protect from the progressive damage caused by an autoimmune attack, said Jeffrey Bluestone , PhD, co-leader of the research and A.W. and Mary Clausen Distinguished Professor at UC San Francisco, who collaborated in developing the drug. The clinical trial was led by Kevan Herold , MD, PhD, a professor of immunobiology and deputy director for translational science at Yale University. He and Bluestone have collaborated on four previous clinical trials of the experimental drug. We are very excited by the efficacy of the drug, Herold said. Some of our patients and families have described a real impact on their diabetes. Bluestone, an immunologist who is now executive vice chancellor and provost at UCSF, developed teplizumab in collaboration with Ortho Pharmaceuticals in 1987. He is a leader in research that aims to understand how and why the immune system attacks the bodys own tissues and organs, and to develop drug strategies to eliminate the autoimmune response without producing severe side effects.
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Walking, cycling to work may curb diabetes risk
Percentages were lower in all other states, except in select portions of several states in the West and in pockets of Ohio, Indiana, Michigan and Pennsylvania. Steckel obtained state per-capita income data from the Bureau of Economic Analysis and diabetes figures from the CDC. He constructed a statistical model to investigate the consequences of income change on diabetes prevalence, analyzing the ratio of per-capita income in 1980 to that in 1950 and those ratios’ relationship to the proportion of each state reporting Type 2 diabetes in 2009. The model suggested that two variables, the income ratio and the share of each state’s population that was African American in 2010, could explain more than half of the nation’s variance in the prevalence of Type 2 diabetes.
For the original version including any supplementary images or video, visit http://www.sciencedaily.com/releases/2013/08/130805131013.htm
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