Patterns and Predictors Associated With Long-Term Glycemic Control in Pediatric and Young Adult Patients with Type 1 Diabetes

Author:

Jendle Johan1ORCID,Agvall Björn2,Galozy Alexander3,Adolfsson Peter14ORCID

Affiliation:

1. Institute of Medical Sciences, Örebro University, Örebro, Sweden

2. Department of Research and Development, Region Halland, Halmstad, Sweden

3. Center for Applied Intelligent Systems Research, Halmstad University, Halmstad, Sweden

4. Department of Pediatrics, The Hospital of Halland, Kungsbacka, Sweden

Abstract

Background: The development of diabetes technology is rapid and requires education and resources to be successfully implemented in diabetes care management. Method: In an observational study, we evaluated the use of advanced diabetes technology, resource utilization, and glycemic control. The study population was 725 individuals with type 1 diabetes (T1D) living in Region Halland, Sweden. The study cohort was followed for 7 years between 2013 and 2019. Results: Children aged 0 to 17 years were associated with significantly better glucose control than young adults aged 18 to 25 years. The mean HbA1c in children and young adults was 53 mmol/mol (7.0%) compared to 61 mmol/mol (7.7%) ( P < .0001), respectively. Comorbidities such as attention deficit hyperactivity disorder (ADHD), autism, and coelic disease were associated with higher HbA1c. All groups, regardless of age and comorbidity, showed a positive effect on glucose control after visiting a dietitian or psychologist. Differences were found between the age groups in terms of more use of advanced diabetes technology and more frequent visits to a physician in children compared to young adults. Conclusions: More frequent visits to physicians, and a visit to dietitians, and psychologists were associated with improved glucose control in individuals with T1D 0 to 25 years. Increased resources, including access to more advanced technologies, may be required in young adults with T1D.

Funder

air liquide

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Stenopool: A Comprehensive Platform for Consolidating Diabetes Device Data;Journal of Diabetes Science and Technology;2024-07-23

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