Healthy-Weight Skinny-Fat Adults at Risk for Prediabetes

Healthy-weight adults are increasingly at risk for prediabetes, according to findings reported by researchers at the University of Florida and published in the Annals of Family Medicine.

Given the connection between obesity and type 2 diabetes, many people think the difference between someone at risk and someone who isn’t comes down to body mass index (BMI). While obesity is still the best predictor for diabetes, factors such as a family history of the disease, poor diet and a sedentary lifestyle are shown to increase risk. Analyzing national health survey data from 1988 to 1994 and 1999 to 2012, a research team led by Dr. Arch Mainous at the University of Florida found that 18.5% of healthy-weight adults surveyed were prediabetic. The data also showed higher rates of prediabetes in the later survey period (an 8% increase among people age 20 and older, and an 11% increase among people age 45 and older), meaning healthy-weight adults are in more danger of developing prediabetes today than they were in the past.

Between 15% and 30% of people with prediabetes will develop diabetes within 5 years, and high blood sugar in diabetics has become the third-highest risk factor for premature death, usually because of cardiovascular complications. Patients who start insulin immediately have lower rates of all diabetes complications, but most patients don’t have access to an endocrinologist or other expert clinician who has the time and training to administer insulin effectively. Because of this endocrinology care gap, insulin therapy is often delayed for years. In fact, even after failing to reach glycemic targets with two or more oral medications, the average time before starting insulin is 7.7 years from diagnosis.

Insulin Algorithms software is designed to close the endocrinology care gap. It enables diabetes care professionals of any level, even nurses and physician assistants, to optimally adjust a patient’s insulin regimen in less than a minute based on comprehensive data analysis and algorithms that are clinically proven to lower HbA1c. Learn more

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