Lindsay Dillon

Lindsay Dillon is a Researcher at the Herbert Wertheim School of Public Health & Human Longevity Science at the University of California, San Diego, with an extensive research portfolio focused on sedentary behavior, physical activity interventions, and mobile health technologies for weight management and chronic disease prevention.

Her research spans several interconnected domains of public health and behavioral medicine. Dillon has made significant contributions to understanding sitting patterns through innovative measurement techniques using wearable sensors and developing practical interventions to reduce sedentary time, particularly among vulnerable populations including postmenopausal women, breast cancer survivors, and ethnically diverse communities. Her work often bridges digital health technologies with traditional behavioral interventions, with notable expertise in text messaging and web-based weight loss programs that serve both English- and Spanish-speaking populations. She has developed and validated important tools like the CHAP-Adult algorithm for classifying sitting behavior from accelerometer data, advancing methodological approaches in the field.

Dillon maintains extensive collaborations with UC San Diego researchers including Kevin Patrick, Loki Natarajan, Gregory Norman, Rong Zablocki, and Jeannie Huang. Her 2009 paper on text message-based weight loss interventions has been highly influential with over 245 citations, demonstrating the impact of her work on the field of digital health. Her recent research continues to address critical public health challenges, with 2024 publications focusing on advanced analytical techniques for understanding sitting patterns through functional principal component analysis.