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07-02-19 1 Vues

Approximately 16 million people in the  Blood Sugar Solution United States are diagnosed with diabetes based on national statistics. In reality, through, this figure is much higher. It is estimated that another 5.4 million people have the disease and are not aware of it. Type II diabetes, also called adult onset diabetes, now appears routinely in six year old children. Minorities are at particular risk, as their diet consists mainly of cheap fast foods, such as hamburgers, fried chicken, pasta, potatoes, refined sweets and other highly processed foods and beverages. These foods typically cause a rapid increase in blood sugar, which stimulates the production of large quantities of insulin. When there is too much insulin in the blood, the body reacts by producing the chemical somatostatin, which suppresses insulin release. In due time this natural response translates into diabetes. Compared with Caucasians, African Americans have a 60% higher risk of developing diabetes and Hispanics have a 90% increased risk. Considering the large number of undiagnosed diabetics, physicians are now losing more patients to diabetes than they are diagnosing.

An increasing number of American adults diagnosed with diabetes are obese, U.S. officials said in November 2004. A study by the Centers for Disease Control (CDC) and Prevention found that between 1999 and 2002, 54.8 percent of diabetics over the age of 19 were obese. That compared with 45.7 percent in the same age group between 1988 and 1994. When the category was expanded to include diabetics who were obese or overweight, the percentage surged to 85.2 percent in 1999-2002 compared with 78.5 percent in the earlier period. About 69 million people are obese or severely obese, according to the American Obesity Association. In the CDC study, a person was considered overweight if their body mass index (BMI) - the most commonly used method for calculating if a person weighs too much - was 25 to 29. Anyone with a body mass index of 30 or greater was categorized as obese. Using the body mass index to determine risk for diabetes is not completely reliable and can keep these numbers lower than they actually are. Taking averages in human statistic analysis always ends up distorting the true figures.




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