Smartphone apps make it easier to manage type 2 diabetes
Nearly one in five (17 percent) of the patients developed dementia over a decade. The researchers identified 45 risk factors for dementia, and used sophisticated statistical methods to analyze the patients’ medical records and identify the risk factors that most strongly predicted the onset of dementia. Age, education level and six different diabetes-related health complications (acute metabolic event, microvascular disease, diabetic foot, cerebrovascular disease, heart disease and depression) were determined to be the most important predictors of dementia. The researchers incorporated these factors into an easy-to-use point system that places patients in one of 14 categories. The lowest score (-1) indicates the lowest risk of dementia and the highest scores (12 to 19) indicate the highest risk.
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New Risk Score Predicts 10-Year Dementia Risk for Type 2 Diabetes Patients
Users are then given a target score for each meal based on their personal health information. The goal is to choose foods that add up to the target score for each specific meal, without going over or under. Users can also log their meals, glucose levels and physical exercise in the app for simple tracking. Managing diabetes is an every meal effort, which can be overwhelming. You cant bank food from one meal to another so you have to get it right every time. This is one case where technology is definitely making life easier, said Massa. A number of medical studies are currently underway to evaluate which features of smartphone apps provide the greatest benefit in the management of diabetes.
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Huang, MD, of the Department of Internal Medicine, University of Chicago; Wayne J. Katon, MD, of the Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine; and Jerome R. Minkoff, MD, of the Kaiser Permanente Department of Endocrinology, Santa Rosa, Calif. Research reported in this press release was supported by Kaiser Permanente Community Benefit and by the National Institute of Diabetes and Digestive and Kidney Disorders of the National Institutes of Health under award number DK081796. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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