Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing
Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články
Grantová podpora
No.15-25710A (P08 panel)
The Czech Health Research Council
PubMed
31126048
PubMed Central
PMC6567095
DOI
10.3390/nu11051148
PII: nu11051148
Knihovny.cz E-zdroje
- Klíčová slova
- carbohydrate counting, diet, mobile application, obesity, overweight, postprandial glycaemia, prandial insulin bolus, type 1 diabetes,
- MeSH
- biologické markery krev MeSH
- časové faktory MeSH
- cvičení MeSH
- diabetes mellitus 1. typu krev diagnóza farmakoterapie MeSH
- dietní sacharidy aplikace a dávkování MeSH
- dospělí MeSH
- energetický metabolismus MeSH
- hypoglykemika aplikace a dávkování škodlivé účinky MeSH
- inzulin aplikace a dávkování škodlivé účinky MeSH
- inzulinové infuzní systémy MeSH
- krevní glukóza účinky léků metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mobilní aplikace * MeSH
- mobilní telefon * MeSH
- ověření koncepční studie MeSH
- pilotní projekty MeSH
- postprandiální období * MeSH
- selfmonitoring glykemie MeSH
- stravovací zvyklosti MeSH
- výpočet dávky léku * MeSH
- výsledek terapie MeSH
- životní styl * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- biologické markery MeSH
- dietní sacharidy MeSH
- hypoglykemika MeSH
- inzulin MeSH
- krevní glukóza MeSH
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.
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