2020
DOI: 10.1111/dme.14444
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The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents with type 1 diabetes

Abstract: Aims Postprandial glycaemic variability carries on being a clinical challenge in optimizing glucose control in type 1 diabetes. The aim of this study was to compare the postprandial glycaemic effects of carbohydrate counting and food insulin index algorithms following the consumption of protein‐rich, high‐fat meals with different glycaemic index (GI) in adolescents with type 1 diabetes. Methods A randomized, single‐blind and crossover trial included 15 adolescents aged 14–18 years with type 1 diabetes. Partici… Show more

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Cited by 3 publications
(12 citation statements)
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“…Full-text screening was performed on 72 articles of which 47 were excluded. Data extraction was performed on the remaining 25 articles [ 27 , 29 , 30 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ].…”
Section: Resultsmentioning
confidence: 99%
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“…Full-text screening was performed on 72 articles of which 47 were excluded. Data extraction was performed on the remaining 25 articles [ 27 , 29 , 30 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ].…”
Section: Resultsmentioning
confidence: 99%
“…Of the twenty-five included articles, eleven were cross-sectional [ 29 , 36 , 37 , 38 , 39 , 48 , 50 , 51 , 54 , 55 , 56 ], six were crossover studies [ 30 , 41 , 43 , 46 , 47 , 52 ], four were randomised controlled trials (RCTs) [ 27 , 40 , 44 ], three were prospective studies [ 49 , 53 , 57 ], and one was a regression analysis [ 45 ]. Most of the studies were conducted in Australia (n = 11) and Iran (n = 10).…”
Section: Resultsmentioning
confidence: 99%
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“…Conventional insulin dose adjustment uses the principles of carbohydrate estimation but omits the impact of protein and fat on gastric emptying, post‐prandial glucose appearance and insulin sensitivity. The food insulin index algorithm calculates insulin requirement based on the whole food energy content and, in this issue, is assessed in a randomised controlled trial against conventional carbohydrate estimation 6 . In test meals, the food insulin index algorithm led to a significantly lower post‐prandial glucose than carbohydrate estimation, without an increase in hypoglycaemia, suggesting that, for some foods the food insulin index algorithm may be preferable.…”
mentioning
confidence: 99%