Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing
Post-prandial hyperglycemia is still a challenging issue in intensified insulin therapy. Data of 35 T1D patients during a four-week period were analyzed: RT-CGM (real time continuous glucose monitoring) record, insulin doses, diet (including meal photos), energy expenditure, and other relevant condi...
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doaj-4260eea272dc400194c68f6574f8631e2020-11-24T21:25:44ZengMDPI AGNutrients2072-66432019-05-01115114810.3390/nu11051148nu11051148Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin DosingKaterina Stechova0Jan Hlubik1Pavlina Pithova2Petr Cikl3Lenka Lhotska4Department of Internal Medicine, University Hospital Motol, V Uvalu 84, 15006 Prague 5—Motol, Czech RepublicThe Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslavskych partyzanu 1580/3, 160 00 Prague, Czech RepublicDepartment of Internal Medicine, University Hospital Motol, V Uvalu 84, 15006 Prague 5—Motol, Czech RepublicFitsport Complex Inc., Polní 1006/11, 664 91 Ivancice, Czech RepublicThe Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslavskych partyzanu 1580/3, 160 00 Prague, Czech RepublicPost-prandial hyperglycemia is still a challenging issue in intensified insulin therapy. Data of 35 T1D patients during a four-week period were analyzed: RT-CGM (real time continuous glucose monitoring) record, insulin doses, diet (including meal photos), energy expenditure, and other relevant conditions. Patients made significant errors in carbohydrate counting (in 56% of cooked and 44% of noncooked meals), which resulted in inadequate insulin doses. Subsequently, a mobile application was programmed to provide individualized advice on prandial insulin dose. When using the application, a patient chooses only the type of categorized situation (e.g., meals with other relevant data) without carbohydrates counting. The application significantly improved postprandial glycemia as normoglycemia was reached in 95/105 testing sessions. Other important findings of the study include: A high intake of saturated fat (median: 162% of recommended intake); a low intake of fiber and vitamin C (median: 42% and 37%, respectively, of recommended intake); an increase in overweight/obesity status (according to body fat measurement), especially in women (median of body fat: 30%); and low physical activity (in 16/35 patients). The proposed individualized approach without carbohydrate counting may help reach postprandial normoglycemia but it is necessary to pay attention to the lifestyle habits of T1D patients too.https://www.mdpi.com/2072-6643/11/5/1148carbohydrate countingdietmobile applicationobesityoverweightpostprandial glycaemiaprandial insulin bolustype 1 diabetes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Katerina Stechova Jan Hlubik Pavlina Pithova Petr Cikl Lenka Lhotska |
spellingShingle |
Katerina Stechova Jan Hlubik Pavlina Pithova Petr Cikl Lenka Lhotska Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing Nutrients carbohydrate counting diet mobile application obesity overweight postprandial glycaemia prandial insulin bolus type 1 diabetes |
author_facet |
Katerina Stechova Jan Hlubik Pavlina Pithova Petr Cikl Lenka Lhotska |
author_sort |
Katerina Stechova |
title |
Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing |
title_short |
Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing |
title_full |
Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing |
title_fullStr |
Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing |
title_full_unstemmed |
Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing |
title_sort |
comprehensive analysis of the real lifestyles of t1d patients for the purpose of designing a personalized counselor for prandial insulin dosing |
publisher |
MDPI AG |
series |
Nutrients |
issn |
2072-6643 |
publishDate |
2019-05-01 |
description |
Post-prandial hyperglycemia is still a challenging issue in intensified insulin therapy. Data of 35 T1D patients during a four-week period were analyzed: RT-CGM (real time continuous glucose monitoring) record, insulin doses, diet (including meal photos), energy expenditure, and other relevant conditions. Patients made significant errors in carbohydrate counting (in 56% of cooked and 44% of noncooked meals), which resulted in inadequate insulin doses. Subsequently, a mobile application was programmed to provide individualized advice on prandial insulin dose. When using the application, a patient chooses only the type of categorized situation (e.g., meals with other relevant data) without carbohydrates counting. The application significantly improved postprandial glycemia as normoglycemia was reached in 95/105 testing sessions. Other important findings of the study include: A high intake of saturated fat (median: 162% of recommended intake); a low intake of fiber and vitamin C (median: 42% and 37%, respectively, of recommended intake); an increase in overweight/obesity status (according to body fat measurement), especially in women (median of body fat: 30%); and low physical activity (in 16/35 patients). The proposed individualized approach without carbohydrate counting may help reach postprandial normoglycemia but it is necessary to pay attention to the lifestyle habits of T1D patients too. |
topic |
carbohydrate counting diet mobile application obesity overweight postprandial glycaemia prandial insulin bolus type 1 diabetes |
url |
https://www.mdpi.com/2072-6643/11/5/1148 |
work_keys_str_mv |
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