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Effect of Body Weight on Glycaemic Indices in People with Type 1 Diabetes Using Continuous Glucose Monitoring.
Christou, Maria A; Christou, Panagiota A; Katsarou, Daphne N; Georga, Eleni I; Kyriakopoulos, Christos; Markozannes, Georgios; Christou, Georgios A; Fotiadis, Dimitrios I; Tigas, Stelios.
Afiliación
  • Christou MA; Department of Endocrinology, University Hospital of Ioannina, 45500 Ioannina, Greece.
  • Christou PA; Department of Hygiene and Epidemiology, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece.
  • Katsarou DN; Department of Endocrinology, University Hospital of Ioannina, 45500 Ioannina, Greece.
  • Georga EI; Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, 45500 Ioannina, Greece.
  • Kyriakopoulos C; Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, 45500 Ioannina, Greece.
  • Markozannes G; Department of Respiratory Medicine, University Hospital of Ioannina, 45500 Ioannina, Greece.
  • Christou GA; Department of Hygiene and Epidemiology, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece.
  • Fotiadis DI; Department of Endocrinology, University Hospital of Ioannina, 45500 Ioannina, Greece.
  • Tigas S; Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, 45500 Ioannina, Greece.
J Clin Med ; 13(17)2024 Sep 07.
Article en En | MEDLINE | ID: mdl-39274516
ABSTRACT
Background/

Objectives:

Obesity and overweight have become increasingly prevalent in different populations of people with type 1 diabetes (PwT1D). This study aimed to assess the effect of body weight on glycaemic indices in PwT1D.

Methods:

Adult PwT1D using continuous glucose monitoring (CGM) and followed up at a regional academic diabetes centre were included. Body weight, body mass index (BMI), waist circumference, glycated haemoglobin (HbA1c), and standard CGM glycaemic indices were recorded. Glycaemic indices were compared according to BMI, and correlation and linear regression analysis were performed to estimate the association between measures of adiposity and glycaemic indices.

Results:

A total of 73 PwT1D were included (48% normal weight, 33% overweight, and 19% obese). HbA1c was 7.2% (5.6-10), glucose management indicator (GMI) 6.9% (5.7-8.9), coefficient of variation (CV) for glucose 39.5% ± 6.4, mean glucose 148 (101-235) mg/dL, TIR (time in range, glucose 70-180 mg/dL) 66% (25-94), TBR70 (time below range, 54-69 mg/dL) 4% (0-16), TBR54 (<54 mg/dL) 1% (0-11), TAR180 (time above range, 181-250 mg/dL) 20% ± 7, and TAR250 (>250 mg/dL) 6% (0-40). Glycaemic indices and achievement (%) of optimal glycaemic targets were similar between normal weight, overweight, and obese patients. BMI was associated negatively with GMI, mean glucose, TAR180, and TAR250 and positively with TIR; waist circumference was negatively associated with TAR250.

Conclusions:

CGM-derived glycaemic indices were similar in overweight/obese and normal weight PwT1D. Body weight and BMI were positively associated with better glycaemic control. PwT1D should receive appropriate ongoing support to achieve optimal glycaemic targets whilst maintaining a healthy body weight.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza