The Associations of the Longitudinal Glucose Sensor Data for Children having Type 1 Diabetes and Parental Characteristics
There is limited knowledge concerning the way parental behaviour and attitudes, affect glycemic outcomes in children with Type 1 diabetes melllitus (T1DM), wearing a continuous glucose monitoring (CGM) sensor.The aim of this research is to assess the association of CGM sensor data with parental diabetes caregiver characteristics.The crosssectional study involved N=79 pediatric patients with T1DM who had worn a CGM sensor for more than 180 days before the study.Sensor wear time, time below range (TBR, 3.0 -3.9 mmol/L), time in range (TIR, 3.9 -10.0 mmol/L), and time above range (TAR, 10.0 -13.9 mmol/L) were calculated retrospectively for 180 days.Both the children and their parents were surveyed.Parental self-efficacy in diabetes management and fear of hypoglycemia were assessed with the Parental Self-Efficacy Scale for Diabetes Management (PSESDM) and the Hypoglycemia Fear Survey (HFS) questionnaires.Data was analyzed using descriptive methods, Spearman rho correlation and multiple linear regression.In the total sample, the A. Hlgyesi et al.The Association of Longitudinal Glucose Sensor Data of Children with Type 1 Diabetes with Parental Characteristics -168 -mean sensor wear time was 77.0% 20.1.The TBR, TIR and TAR were 2.6% 1.7, 63.0% 13.8, and 24.6%8.6,respectively.Parental PSESDM score was correlated with the TIR, while HFS was correlated with the TBR.Regression analysis revealed that children's sensor wear time and parents' PSESDM score are positively associated with the TIR.Our results highlight the relevance of CGM sensor wearing for diabetes outcomes and draw attention to the role of parents in the treatment of their diabetic child.Parental self-efficacy in diabetes management deserves particular attention, as it was found to be an important factor in achieving the desired glycemic control.
Authors
- Péter Tóth‐Heyn
- Levente Kovács (ORCID: https://orcid.org/0000-0002-3188-0800)
- Petra Baji (ORCID: https://orcid.org/0000-0003-2899-8557)
- Andrea Luczay
- Áron Hölgyesi (ORCID: https://orcid.org/0000-0001-8131-2839)
- Márta Péntek (ORCID: https://orcid.org/0000-0001-9636-6012)
- Zsombor Zrubka (ORCID: https://orcid.org/0000-0002-1992-6087)
- Eszter Muzslay
- Attila Jozsef Szabo (ORCID: https://orcid.org/0000-0001-7321-9861)
- Eszter Világos (ORCID: https://orcid.org/0009-0005-1325-0126)
- László Gulàcsi (ORCID: https://orcid.org/0000-0002-9285-8746)
Publication Details
- Journal
- Acta Polytechnica Hungarica
- Published
- 2025-01-01
- DOI
- https://doi.org/10.12700/aph.22.10.2025.10.10
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Budapesti Corvinus Egyetem