Elisabeth Mathiesen

Elisabeth Mathiesen serves as a Clinical Professor in the Department of Clinical Medicine at the University of Copenhagen, specializing in Endocrinology within Internal Medicine. Based at Blegdamsvej in Copenhagen, she maintains clinical and research operations through the Copenhagen University Hospital (Region Hovedstaden) with direct contact via elisabeth.reinhardt.mathiesen@regionh.dk and phone +4535458358.

Her research critically examines diabetes management during pregnancy and long-term metabolic outcomes, with emphasis on gestational diabetes interventions and type 1 diabetes complications. Key investigations include glucose control during labor, cardiometabolic risk concordance in couples post-GDM pregnancy, and health literacy impacts on dietary quality. She employs nationwide cohort methodologies and randomized controlled trials to address clinical gaps in maternal-fetal medicine.

Recent publication trends reveal intensive focus on Danish clinical trials (Face-It RCT, INTENSE-GDM, CopenFast) evaluating family-based health promotion, nutrition therapy efficacy, and insulin delivery systems. These works span endocrinology, obstetrics, and public health domains with consistent emphasis on real-world intervention scalability and postpartum continuity of care.

No scientific awards were documented in the provided materials.

Dr. Mathiesen actively collaborates through the Face-It Study Group and CopenFast trial consortium, driving multi-institutional research on gestational diabetes interventions and type 1 diabetes management during pregnancy. Her network includes Copenhagen University Hospital clinicians, University of Copenhagen researchers, and nationwide registry collaborators, though specific grant details remain undisclosed in source materials.

Her laboratory operations center on clinical trial execution and registry data analysis, particularly leveraging Denmark's comprehensive health registries for matched-cohort studies on diabetic complications. Current work prioritizes translational applications of sensor-derived glycemic metrics and couple-based health behavior modification post-GDM pregnancy.