Early Markers of Glycaemic Control in Children with Type 1 Diabetes Mellitus

Background: Type 1 diabetes mellitus (T1DM) may lead to severe long-term health consequences. In a longitudinal study, we aimed to identify factors present at diagnosis and 6 months later that were associated with glycosylated haemoglobin (HbA 1c) levels at 24 months after T1DM diagnosis, so that diabetic children at risk of poor glycaemic control may be identified. Methods: 229 children,15 years of age diagnosed with T1DM in the Auckland region were studied. Data collected at diagnosis were: age, sex, weight, height, ethnicity, family living arrangement, socio-economic status (SES), T1DM antibody titre, venous pH and bicarbonate. At 6 and 24 months after diagnosis we collected data on weight, height, HbA 1c level, and insulin dose. Results: Factors at diagnosis that were associated with higher HbA1c levels at 6 months: female sex (p,0.05), lower SES (p,0.01), non-European ethnicity (p,0.01) and younger age (p,0.05). At 24 months, higher HbA1c was associated with lower SES (p,0.001), Pacific Island ethnicity (p,0.001), not living with both biological parents (p,0.05), and greater BMI SDS (p,0.05). A regression equation to predict HbA1c at 24 months was consequently developed. Conclusions: Deterioration in glycaemic control shortly after diagnosis in diabetic children is particularly marked in Pacific Island children and in those not living with both biological parents. Clinicians need to be aware of factors associated wit

Coping, Self-Management, and Adaptation in Adolescents with Type 1 Diabetes

BACKGROUND: Adolescents with type 1 diabetes experience stress related to treatment management, feeling different from peers, and deciding to tell others about their diabetes. PURPOSE: This study examined the relationship of stress reactivity and coping with self-management, quality of life, and metabolic control in an ethnically diverse sample of adolescents with type 1 diabetes. METHODS: Adolescents (n = 327) completed measures of coping and stress reactivity, self-management, and quality of life. Glycosylated hemoglobin data were collected from medical records. RESULTS: Low-income and minority status were related to lower levels of primary control coping (e.g., problem solving) and secondary control coping (e.g., acceptance), and higher levels of disengagement coping (e.g., avoidance). Self-management mediated the relationship between coping and stress reactivity with quality of life and metabolic control. Race/ethnicity and income moderated the relationship between coping and self-management goals. CONCLUSIONS: Results indicate differences in coping related to income and race/ethnicity and demonstrate the impact of coping on self-management and health outcomes in adolescents with type 1 diabetes