Meghan Brianna Skiba

Meghan Brianna Skiba

Assistant Professor
Member of the Graduate Faculty
Primary Department
Department Affiliations
Contact
520-621-9036

Work Summary

Work Summary

Dr. Meghan Skiba has experience delivering remote diet and physical activity interventions as well as health coaching, accelerometry, mixed-methods, and data analysis. Her research has emphasis in biological aging, technology, and dyads. She is interested in addressing cancer health disparities by connecting cancer survivors and their caregivers to the skills and behaviors to live their healthiest and longest life.

Research Interest

Meghan Skiba, PhD, MS, MPH, RDN has over 8 years of research experience in cancer prevention and control. She received her doctorate from the University of Arizona Mel and Enid Zuckerman College of Public Health in Health Behavior and Health Promotion in 2020. She completed a postdoctoral fellowship at Oregon Health & Science University Knight Cancer Institute in Exercise Physiology and Cancer Survivorship. She has formal advanced training in nutrition science (MS, University of Arizona), epidemiology (MPH, University of Arizona), and received her registered dietitian nutritionist (RDN) credential through the University of Houston. Dr. Skiba has completed additional competitive trainings from the National Cancer Institute and a R25 fellowship through University of Texas MD Anderson Cancer Center (2015) and Yale Cancer Center (2022).

Her research aims to improve the health, longevity, and well-being of cancer survivors and their caregivers through promotion of healthy eating and physical activity. Currently, her research intersects diet, physical activity, cancer health disparities, cancer survivorship and caregiving, and biological aging. She is particularly interested in theory-informed dyadic interventions and the application of lifestyle medicine to attenuate biological aging. Dr. Skiba's research has three focus areas: 1) Intersection of diet and physical activity in cancer prevention and control; 2) Digital and metabolic biomarkers of biological aging; 3) Community based-participatory research methods and theory-informed intervention design.