An Adaptive Design to Reduce Cardio-Metabolic Risks

2023 Trial innovation Network (TIN) Lecture Series

An Adaptive Design to Identify Minimum Sedentary Breaks to Reduce Cardio-Metabolic Risks; and an Extension to the Learning Health System.

Ying Kuen (Ken)Cheung, PhD
Professor of Biostatistics, Vice Dean of Faculty Affairs, the Mailman School of Public Health; Co-Director, Biostatistics, Epidemiology and Trial Design (BERD), and Biostatistician, Trial Innovation Network (TIN), Irving Institute for Clinical and Translational Research; Columbia University Medical Center.

Abstract: I will describe an adaptive design that we developed specifically for an ongoing NHLBI-funded trial of sedentary breaks. In the trial, we introduce sedentary breaks to participants with a goal to reduce their glucose and/or blood pressure under a controlled environment. The trial aims to identify minimum break frequency and break duration, that shift these cardio-metabolic parameters. The design facilitates efficient exploration of numerous frequency-duration combinations, thus allowing for accurate estimation of minimum effective doses with a smaller sample size. I will also discuss potential applications of the design to the Learning Health System.