نتایج جستجو برای: carbohydrate counting
تعداد نتایج: 78737 فیلتر نتایج به سال:
OBJECTIVE To study the association between parent carbohydrate counting knowledge and glycemic control in youth with type 1 diabetes. RESEARCH DESIGN AND METHODS We assessed 67 youth ages 4-12 years with type 1 diabetes (duration >or=1 year). Parents estimated carbohydrate content of children's meals in diet recalls. Ratios of parent estimates to computer analysis defined carbohydrate countin...
Low Self-Efficacy Lead to Failure in Adopting CHO-Counting Approach to Control Diabetes: Pilot Study
This study aimed to evaluate the impact of self-efficacy in adopting carbohydrate counting behavior on their glycemic control, lipid profile and body weight among patients with type 2 diabetes. Self-efficacy was measured using chwarzer and Renner self-efficacy scale. All patients, regardless of their self-efficacy score, received an intervention composed of tailored diet plans based on the carb...
This article reports pilot study results evaluating the accuracy of carbohydrate counting among adolescents with type 1 diabetes. This crosssectional observational study included 48 adolescents ages 12–18 years (mean 15.2 ± 1.8 years) with type 1 diabetes of > 1 year in duration (mean A1C 8.0 ± 1.0%) who used insulin:carbohydrate (I:C) ratios for at least one meal per day. The adolescents were ...
Background Counting carbohydrates, nutritional therapy of choice to type 1 diabetics (DM1), allows flexibility in food choices, avoiding diets based on restrictions, and patients can use any food within a healthy eating plan. With an emphasis on the amount of carbohydrates, a change in the quality of the menu, which can lead to inclusion of foods with high glycemic index and high in fat, is oft...
Accurate carbohydrate counting is crucial for type 1 diabetes mellitus patients on intensive insulin therapy to get on-target blood glucose values. So, it fundamental assess their ability estimate meals’ content and, if needed, recommend training. In this context, we propose a personalized data-driven approach monitor the patients’ of meals. The proposed uses data compute safe range error accor...
Functional Insulin Therapy (FIT) reduces the risk of diabetic late complications, improves the quality of treatment as well the quality of life, and is a recommended method for treating Type 1 Diabetes (T1D) patients [1,2]. In terms of postprandial glucose control, meal insulin dosage based on carbohydrate counting, the ‘golden standard’ in FIT, is unsatisfactory probably due to many factors in...
Glycemic control in hospitalized patients is challenging but important for optimal outcomes. Insulin dosing through carbohydrate counting may address patient, provider, and institutional factors that complicate hospital glycemic management. On two surgical units at a tertiary care teaching hospital, we pilot tested postmeal insulin dosing based on carbohydrate counting (plus basal insulin) rath...
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