Megan A. McVay, Ph.D.


Department of Health Education & Behavior

  • PhD in Psychology, Louisiana State University (2012)
  • MA in Psychology, Louisiana State University (2012)
  • BA in Psychology, University of Puget Sound (2004)

McVay CV

 


Biography:

Megan McVay, PhD, will join the faculty in the Department of Health Education and Behavior at the University of Florida in 2018. She was previously at Duke University School of Medicine as a postdoctoral fellow and then as an Assistant Professor in the Department of Psychiatry & Behavioral Science.

Dr. McVay conducts research on behavioral aspects of weight management. Her research is currently focused on understanding the drivers of initiation of evidence-based behavioral weight loss treatment. Dr. McVay also conducts research on digital health-based approaches to weight management. Additionally, she has interest and research experience in the influence of genetic risk information on weight-related health behaviors. Dr. McVay received a 5-year Career Development grant from the National Institute of Heart, Lung, and Blood (NHLBI) in 2015 to develop and pilot test a web-based intervention to increase initiation of weight loss treatments.

Dr. McVay is a member in several leading professional organizations including Society of Behavior Medicine (SBM) and The Obesity Society (TOS), where she has served as an early career representative of the finance committee. She has received awards for research presentations from the Society of Behavior Medicine, The Obesity Society, and the American Society for Metabolic and Bariatric Surgery. She has published in leading journals, including American Journal of Preventive Medicine, Annals of Internal Medicine, Genetics in Medicine, and Translational Behavioral Medicine. She has also been selected for competitive, specialized NIH-funded training institutes in mhealth and behavioral randomized clinical trials.

Research interest:

  • Behavioral weight management
  • Initiation and engagement in weight loss interventions
  • Digital health interventions for weight management
  • Genetic risk information and weight-related health behaviors