Week 2

Purpose

The purpose of this video lecture is to discuss the continuous glucose monitoring, more short CGM, and how it can be used as a process measure to improve obesity research.

Meet the Guest Speaker

Dr. Lisa T. Jansen is an Assistant Professor within the Department of Dietetics and Nutrition in the College of Health Professions at the University of Arkansas for Medical Sciences (UAMS). Prior to arriving at UAMS, Dr. Jansen was a Postdoctoral Research Fellow at the New Balance Foundation Childhood Obesity Prevention Center located within the Department of Endocrinology at Boston Children’s Hospital and Harvard Medical School. Her research relates to how modifiable lifestyle factors such as exercise and dietary patterns influence glycemia.

Video Lecture

The video lecture is broken down into four topics: Introduction, use of energy balance models, examples in clinical research, and addressing conflicts and answering important questions.

Please click each tab to watch each video.

Introduction: CGM
Application of CGM in Diabetes Care
Off-Label Use of CGM in Research

Introduction: CGM

Application of CGM in Diabetes Care

Off-Label Use of CGM in Research

Accessibility Note: To access auto closed captions (CC) services please click on the icon in the video's bottom right corner. Manual CC are available by submitting a request for services to ATAC: (812) 856-4112 or atac@iu.edu

NOTE: Please click on the link below to download the supplemental video lecture PDF:

Continuous Glucose Monitoring (CGM):A Process Measure to improve Obesity Research

Readings:

Jansen, L. T., Yang, N., Wong, J. M., Mehta, T., Allison, D. B., Ludwig, D. S., & Ebbeling, C. B. (2022). Prolonged Glycemic Adaptation Following Transition From a Low-to High-Carbohydrate Diet: A Randomized Controlled Feeding Trial. Diabetes Care, 45(3), 576-584.

Muggeo, V. M., Atkins, D. C., Gallop, R. J., & Dimidjian, S. (2014). Segmented mixed models with random changepoints: a maximum likelihood approach with application to treatment for depression study. Statistical Modelling, 14(4), 293-313.

Scott, E. M., Feig, D. S., Murphy, H. R., & Law, G. R. (2020). Continuous glucose monitoring in pregnancy: importance of analyzing temporal profiles to understand clinical outcomes. Diabetes Care, 43(6), 1178-1184.