Electronic Thesis and Dissertation Repository

Degree

Master of Science

Program

Epidemiology and Biostatistics

Supervisor

Dr. Stewart Harris

Abstract

Objective: To examine factors that predict glycemic control in children and adolescents with Type 1 diabetes in Southwestern Ontario from 1998-2008.

Methodology: A population based cohort study was conducted using local pediatric clinical diabetes database (Humabase) to determine demographic and diabetes-related clinical factors that predict achievement of the target glycemic control under 'real world' conditions. Clinical parameters including the outcome (A1C level) were documented in Humabase. Socio-economic variables were derived using Forward Sortation Area and linking it to the Census of Canada Data.

Results: Factors associated with improved glycemic control were age-specific. Longer distance from the treatment center (OR 0.35), female gender (OR 0.45), longer diabetes duration (OR 1.12), and greater body mass index at diagnosis (OR 1.07) predicted achievement of the target glycemic control on multivariable analyses.

Conclusions: In this regional cohort we identified factors that predict glycemic control. Targeted support should be considered for high risk individuals


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