Yang Bai

Yang Bai, PhD

Languages spoken: Chinese

Academic Information

Departments Primary - Kinesiology

Research Interests

  • Eugenics

Research Statement

I have been working as the lead data analyst in the NFL PLAY 60 FitnessGram project, which has provided training and support to a network of over 1100 schools across the nation. My research interests also include validating subjective measure (Youth Activity Profile) and objective measure (e.g., consumer- and research-grade activity monitor) for physical activity and sedentary behaviors. Designing and disseminating evidence-based behavioral intervention program with technology to prevent and treat chronic diseases are the new line of my research agenda.

Selected Publications

Journal Article

  1. Copeland W (01/2021). Impact of COVID on College Student Mental Health and Wellness. J Am Acad Child Adolesc Psychiatry.
  2. Strehli I (12/2020). Mind-Body Physical Activity Interventions and Stress-Related Physiological Markers in Educational Settings: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health.
  3. Copeland W (11/2020). Daily Wellness Behaviors in College Students across a School Year. J Am Coll Health.
  4. Burns R D (11/2020). Physical activity and sports participation associates with cognitive functioning and academic progression: an analysis using the combined 2017-2018 National Survey of Children’s Health. J Phys Act Health.
  5. Burns R D (09/2020). Movement behaviors and perceived loneliness and sadness within Alaskan adolescents. . Int J Environ Res Public Health.
  6. Vazou S (09/2020). Self-Regulations for Educators Questionnaire (SREQ) for implementation programming. Transl Behav Med.
  7. Burns R D (07/2020). Bidirectional relationships of physical activity and gross motor skills before and after summer break: application of a cross-lagged panel model. . J Sport Health Sci.
  8. Burns R D (07/2020). Familial factors associating with youth physical activity using a national sample. Children.
  9. Burns R D (01/2020). Associations of adolescent lifestyle behaviors with body mass index within a nationally representative sample of US adolescents: A quantile regression analysis.
  10. Meier N (01/01/2020). Validation of a Multi-Electrode Bioelectrical Impedance Analyzer with a Dual-Energy X-Ray Absorptiometer for the Assessment of Body Composition in Older Adults. J Aging Phys Act.
  11. Burns R D (12/2019). Parent engagement and support, physical activity, and academic performance (PESPAAP): A proposed theoretical model. . Int J Environ Res Public Health.
  12. McLoughlin G (09/2019). Longitudinal Associations Between Aerobic Capacity and Academic Achievement in Youth.
  13. Welk GJ (08/2019). Standardizing analytic methods and reporting in activity monitor validation studies: Guidelines to advance research and use in mHealth applications.
  14. Bai Y (04/2019). The University of Vermont Wellness Environment: Feasibility and Initial Results of a College Undergraduate Health-Promoting Program.
  15. Ellingson L (02/2019). Evaluating motivational interviewing and habit formation to enhance the effect of activity trackers on healthy adults' activity levels. JMIR Mhealth Uhealth.
  16. Yi X (01/2019). Body Mass Index and Physical Fitness among Chinese Adolescents from Shandong Province: A Cross-sectional Study. BMC Public Health.
  17. Southard K (09/2018). Methods for Activity Monitor Validation Studies: An Example With the Fitbit Charge.
  18. Saint-Maurice PF (08/2018). Youth physical activity patterns during School and Out-of-School time. Children.
  19. Bai Y (08/2018). Comparative evaluation of heart rate-based monitors: Apple Watch vs Fitbit Charge HR. J Sports Sci.
  20. Bai Y (05/2018). Evaluation of Youth Enjoyment toward Physical Activity and Physical Education. Pediatr Exerc Sci.
  21. Dixon P (04/2018). A primer on the use of equivalence testing for evaluating measurement agreement.
  22. Bus K (12/2017). Comparison of In-Person and Online Motivational Interviewing–Based Health Coaching. Health Promot Pract.
  23. Saint-Maurice PF (12/2017). The Healthy Fitness Zone continuum as a measure of change in youth BMI: an example using 2012-2014 data from Georgia.
  24. Bai Y (12/2017). Fitness Trends and Disparities Among School-Aged Children in Georgia, 2011-2014.
  25. Saint-Maurice PF (10/2017). Impact of NFL PLAY 60 programming on elementary school children's body mass index and aerobic capacity: The NFL PLAY 60 FitnessGram Partnership Project. J Sch Health.
  26. Bai Y (04/2017). School and County Correlates Associated with Youth Body Mass Index.
  27. Bai Y (03/2017). The longitudinal Impact of NFL PLAY 60 Programming on Youth Aerobic Capacity and BMI. Am J Prev Med.
  28. Saint-Maurice PF (12/2016). Agreement between estimates of VO2 predicted from PACER and One-Mile Run time equated laps. Res Q Exerc Sport.
  29. Bai Y (11/2016). Explaining disparities in youth aerobic fitness and body mass index: relative impact of socioeconomic and minority status. J Sch Health.
  30. Bai Y (01/2016). The Associations of Youth Physical Activity and Screen Time with Fatness and Fitness: A Cross Sectional Study. PLoS One.
  31. Welk GJ (01/2016). Design and Evaluation of the NFL PLAY 60 FITNESSGRAM Partnership Project. Res Q Exerc Sport.
  32. Bai Y (01/2016). Comparison of consumer and research monitors under semistructured settings.
  33. Lee JM (01/2016). Validation of the SenseWear mini armband in children during semi-Structure activity settings. J Sci Med Sport.
  34. Bai Y (10/2015). Mediated effects of perceived competence on youth physical activity and sedentary behavior. Res Q Exerc Sport.
  35. Bai Y (09/2015). Prevalence of youth fitness in U.S.: Baseline results from the NFL PLAY 60 FITNESSGRAM project.
  36. Chen S (03/2015). Measurement and Invariance Characteristics of Youth Physical Activity Correlates. J Sci Med Sport.
  37. Saint-Maurice PF (11/2014). Comparison of screening methods for evaluating school-level fitness patterns in youth: Findings from the NFL PLAY 60 FITNESSGRAM Partnership Project. Open J Prev Med.
  38. Kim Y (01/2014). Accuracy of neck circumference in classifying overweight and obese US children. ISRN Obes.