Type 2 Diabetes and Binge Eating Disorder (BED)

This research project aims to address the treatment challenges faced by individuals living with both type 2 diabetes (T2D) and Binge Eating Disorder (BED). It is estimated that approximately 300,000 people in Denmark have T2D, while 40-50,000 adults suffer from BED. The prevalence of BED among patients with T2D is up to 20%, and individuals with T2D and BED often experience more somatic and psychological symptoms compared to those with T2D alone. The primary objective of this project is to improve the treatment outcomes for patients with coexisting T2D and BED. To achieve this, the project has three specific aims: 1. Prevalence assessment: The project aims to identify the prevalence of BED within a cohort of approximately 4,000 patients diagnosed with T2D in the Region of Southern Denmark. This cohort is part of the DD2 cohort, managed by the Danish Center for Strategic Research in Type 2 Diabetes. 2. Treatment efficacy investigation: The project will conduct a Randomized Controlled Trial (RCT) involving 64 patients diagnosed with both T2D and BED. The trial will investigate the effects of BED treatment on various outcomes, including changes in BED symptoms, glycemic control, and associated cardiovascular risk factors. 3. Glucose sensor study: Patients will be assessed using continuous glucose monitoring sensors for a week before and after pre- and post-test visits at Odense University Hospital (OUH). This allows for detailed blood glucose profiles without finger pricking. Data on time in range, time below range, variability, and area under the curve will be extracted from the sensors. These data aim to provide insights into glycemic variability, complementing traditional HbA1c measurements and aiding in evaluating the intervention's effectiveness. By addressing these aims, the project seeks to enhance the understanding of the prevalence of BED among individuals with T2D and evaluate the efficacy of BED treatment interventions in improving health outcomes for this patient population.