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Published on: February 28, 2013
Individual and familial factors associated with metabolic control in children with type 1 diabetes
Fatma Demirel1, Derya Tepe, Ihsan Esen
1Pediatric Endocrinology Department, Ankara Children's Hematology and Oncology Training Hospital, Ankara, Turkey.
Insights
Individual and family factors impact metabolic control in children with type 1 diabetes (T1DM). Identifying these factors helps pinpoint youth at higher risk for poor glycemic management.
Area of Science:
- Pediatrics
- Endocrinology
- Metabolic Disorders
Background:
- Type 1 diabetes (T1DM) management in children requires understanding contributing factors.
- Metabolic control is crucial for long-term health outcomes in pediatric T1DM.
Purpose of the Study:
- To identify individual and familial factors associated with metabolic control in children with T1DM.
- To inform risk stratification for poor glycemic control in pediatric diabetes.
Main Methods:
- Cross-sectional study involving 93 children (ages 3-19) with T1DM.
- Data collected via questionnaires (sociodemographics, diabetes-related) and medical chart review.
Main Results:
- Poor metabolic control linked to older age, longer diabetes duration, and higher hospitalization rates.
- Good school performance, regular visits, younger maternal age, higher paternal education, and fewer siblings associated with better control.
Conclusions:
- Metabolic control in pediatric T1DM is influenced by multiple individual and family factors.
- These findings can assist in identifying at-risk children and adolescents for targeted interventions.
Background:
The aim of this study was to determine the individual and familial factors associated with metabolic control in children with type 1 diabetes (T1DM).
Methods:
The study was performed in 93 children with T1DM between the ages of 3 and 19 years. Children and their families completed questionnaires on sociodemographics and data associated with diabetes. Medical information from the charts was also recorded.
Results:
Older age, longer diabetes duration and higher hospitalization rate for acute complications were positively associated with poor metabolic control. Good school performance, regular hospital visits, young maternal age, high paternal education level and fewer numbers of siblings were found to be negatively associated with poor metabolic control.
Conclusions:
Multiple individual and family-level factors are associated with metabolic control. These data may aid in identification of diabetic children and adolescents who have a higher risk of poor metabolic control.
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