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Exploring Factors Affecting Parental Self-Efficacy in Pediatric Type 1 Diabetes

Aron Holgyesi*, Andrea Luczay, Peter Toth-Heyn, Eszter Muzslay, Eszter Vilagos, Attila J. Szabo, Petra Baji, Levente Kovacs, Laszlo Gulacsi, Zsombor Zrubka, Marta Pentek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

Parental self-efficacy is crucial in pediatric type 1 diabetes mellitus (T1DM), yet few studies have examined its complex determinants using validated tools and multivariate analysis. This cross-sectional study aimed to explore the factors associated with parental self-efficacy by applying the Parental Self-Efficacy Scale for Diabetes Management (PSESDM) in a clinical sample in Hungary. A total of 150 children with T1DM and their parents were enrolled from a single clinical pediatric diabetology centre. Data were collected on socio-demographic and clinical characteristics, along with patient-reported outcome measures assessing parental capability well-being (ICECAP-A), health status (EQ-5D-5L), health literacy, fear of hypoglycemia, and children's diabetes-specific quality of life. In addition, treating diabetologists provided objective ratings of parental cooperation, knowledge, and disease management difficulty. Multiple linear regression revealed that higher parental self-efficacy was significantly associated with greater capability well-being and lower difficulty of the child's diabetes management, but not with socio-demographic characteristics and therapeutic modality. These findings underscore the importance of incorporating parental self-efficacy assessments using standard measurement tools, such as the PSESDM, into routine diabetes care. Identifying parents with lower selfefficacy may support early, targeted interventions to improve outcomes in pediatric diabetes management.
Original languageEnglish
Title of host publicationCINTI 2025 - IEEE 25th International Symposium on Computational Intelligence and Informatics, Proceedings
EditorsAniko Szakal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages479-484
Number of pages6
ISBN (Electronic)9798331552916
DOIs
Publication statusPublished - 29 Dec 2025
Event25th International Symposium on Computational Intelligence and Informatics, CINTI 2025 - Budapest, Hungary
Duration: 18 Nov 202519 Nov 2025

Publication series

NameCINTI 2025 - IEEE 25th International Symposium on Computational Intelligence and Informatics, Proceedings
PublisherIEEE
ISSN (Print)2380-8586
ISSN (Electronic)2471-9269

Conference

Conference25th International Symposium on Computational Intelligence and Informatics, CINTI 2025
Country/TerritoryHungary
CityBudapest
Period18/11/2519/11/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • capability well-being
  • parental self-efficacy
  • pediatric diabetes
  • quality of life

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