Sarah Keadle, PhD, MPH
Research Interests
My research focus on the use of wearable sensors to improve our understanding of how physical behavior, for example exercise and sitting time, are related to health. Recent recommendations by the U.S. Department of Health and Human Services and World Health Organization have recognized that new data from wearable sensors has the potential to address key research gaps in the field. My research program focuses on two areas related to these gaps: 1) using wearable sensors to improve the reliability and validity of assessment tools and 2) applying new technology to better understand the behavior disease relationships and to develop effective interventions to reduce sitting and increase physical activity.
Educational Background
Ph.D. Kinesiology, MPH Quantitative Methods
Current Projects
- StandUPTV Habits: Feasibility trial for maintaining reductions in sedentary screen time. An mHealth intervention to reduce sedentary screen time in adults
- WAVES Consortium (Wrist Algorithm: Verification, Evaluation, and Surveillance0: Harmonizing data to inform accuracy of wrist-worn algorithms to predict MVPA, sedentary time and steps.
Publications
My Bibliography - NCBI
Google Scholar
Awards/Honors
2025 Distinguished Scholar Award, California Polytechnic State University
2023 Fellow, American College of Sports Medicine
Current/Recent Funding
NIDDK R01DK135488 2023/12/15 - 2026/11/30
StandUPTV Habits: Feasibility trial for maintaining reductions in sedentary screen time
Role: Co-I
NIH/NIGMS T34GM149492 2024/04 - 2028/04
U-Rise at Cal Poly
Role: MPI
NIH/NIGMS T34 GM15462 2024/06 - 2029/07
Bridges to Baccalaureate at Cal Poly
Role: MPI
NIH/NCI Small Business Innovation Research (75N91023C00031) 2023/08 - 2025/09
Phase II: PathML: Posture Analysis THrough Machine Learning
Role: Site PI
NIH/NCI R01CA23961 2019/08 - 2022/09
StandUPTV: A mobile app to decrease sedentary screen time among adults
Role: MPI
