Student - College of Education

Sherron Howard

Early Career Scholars' Fellow
Teaching Assistant, Health Behavior and Health Education
Ph.D. in Health Behavior and Health Education, The University of Texas at Austin, expected 2026
M.S. in Biomechanics and Movement Science, The University of Delaware, 2018
B.S. in Biology, The Lincoln University of Pennsylvania, 2016

Email: slhoward@utexas.edu
View Curriculum Vitae (pdf)

Sherron earned her bachelors degree in biology from The Lincoln University of Pennsylvania and her masters degree in biomechanics and movement science from the University of Delaware. She is currently a fourth-year doctoral student in the Health Behavior and Health Education program, which is located in the Department of Kinesiology and Health Education. She is on track to graduate in May 2026. Her research interest focuses on the engagement of physical activity among women, with a particular emphasis on Black women. In addition to her research, she is currently a teaching assistant for the Program Planning course in HED.

My primary research interest focuses on the engagement of physical activity among women, with a particular emphasis on Black women. I investigate how various factors influence their participation in physical activity. This includes examining their body image perceptions and understanding how these perceptions impact their willingness and motivation to engage in physical activity, whether in a positive or negative manner. Additionally, I explore the significance of social support and its role in promoting consistent physical activity among women. Furthermore, I assess their self-efficacy when participating in physical activity. My research employs both quantitative methodologies, such as surveys and statistical analysis, and qualitative methodologies, including interviews and focus groups, to provide a comprehensive understanding of these dynamics.

Howard, S. (2024). Barriers and facilitators to physical activity among Black women: A qualitative systematic review and thematic synthesis.. PLOS Glob Public Health. doi:https://doi.org/10.1371/journal.pgph.0003202.

Howard, S. (2022). Measures of motor segmentation from rapid isometric force pulses are reliable and differentiate Parkinsons disease from age-related slowing. Experimal Brain Research. doi:https://doi.org/10.1007/s00221-022-06398-4.