Wan-chin Kuo, PhD, RN

Position title: Assistant Professor

Email: wkuo4@wisc.edu

Phone: 608-263-9886

4121 Signe Skott Cooper Hall

Wan-Chin Kuo

Postdoctoral Fellow, University of WisconsinMadison, Nursing and Data Science; Supporting Areas of Emphasis: Data Science, 2021
PhD, UW–Madison in: Nursing, 2019
Minor, University of Wisconsin-Madison in: Prevention and Intervention Science, 2015
BS, National Taiwan University in: Nursing, 2008

2021 Vice Chancellor for Finance and Administration (VCFA) Professional Development Scholarship, UW-Madison
2020 Midwest Nursing Research Society/Sigma Research Award
2016 Johnson Research Award, UW-Madison, School of Nursing
2015 Dr. Joy Calkin Doctoral Student Support Award for Nursing, UW-Madison, School of Nursing

Areas of expertise: Psychological Stress, 24-hour activity cycle, metabolic syndrome

Dr. Kuo’s research utilizes social and behavioral data from population-based longitudinal studies to examine how social determinants of health interact with individual behaviors and shape disparities in cardiometabolic outcomes. Her research expertise includes systematic review and meta-analysis, development and validation of health instruments, quasi-experimental research designs, and intervention research. Dr. Kuo works with an interdisciplinary team examining the integrability and sustainability of mobile health technologies in truck drivers and construction workers. The ultimate goal is to build worker-centered intelligent environments to alleviate health disparities among industrial workers across the nation and the world. Dr. Kuo teaches courses in measurement development and clinical research practicum. She mentors graduate students and undergraduate students.

Research focus areas

Symptom Science and Palliative Care

  • Examine truck drivers’ health information-seeking behaviors and self-care for chronic conditions
  • Examine the influence of chronic stress on goal-directed cognitive system and habitual responding system for self-care

Health Equity

  • Examine cardiometabolic health disparities experienced by industrial workers

Aging and Care for Older Adults

  • Examines the feasibility, integrability, and usability of mhealth technologies in industrial workers as they transition from midlife toward their retirement

Health Systems and Public Health

  • Examine the impacts of occupational and environmental exposures on 24-hour activity cycle and cardiometabolic health in industrial workers
  • Examine truck drivers’ personal and system barriers and facilitators in using mhealth technologies for cardiometabolic health

Aging and Care for Older Adults      Health Equity      Symptom Science and Palliative Care       Health Systems and Public Health

Learn More about Dr. Kuo’s Research