Publications

Journal Articles

  1. ASSESSING THE PERCEPTIONS OF INSPIRATORY MUSCLE TRAINING IN CHILDREN WITH CYSTIC FIBROSIS AND THEIR MULTIDISCIPLINARY TEAM. JMIR Parenting and Paediatrics
  2. & Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 6(4), e86
  3. & Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 6(4), e86
  4. & Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study. Diabetes Care 41(3), 562-569.
  5. & Higher protein intake is not associated with decreased kidney function in pre-diabetic older adults following a one-year intervention. Nutrients 10(1)
  6. & Energy expenditure associated with walking speed and angle of turn in children. European Journal of Applied Physiology
  7. & Relationship between Sedentary Time, Physical Activity and Multiple Lifestyle Factors in Children. Journal of Functional Morphology and Kinesiology 3(1), 15
  8. & Adiposity, fitness, health-related quality of life and the reallocation of time between children's school day activity behaviours: A compositional data analysis. Preventive Medicine Reports 11, 254-261.
  9. & A Dynamic Assessment of Children’s Physical Competence. Medicine & Science in Sports & Exercise, 1
  10. & The association between physical activity, fitness and body mass index on mental well-being and quality of life in adolescents. Quality of Life Research 27(9), 2313-2320.
  11. & Raw and Count Data Comparability of Hip-Worn ActiGraph GT3X+ and Link Accelerometers. Medicine & Science in Sports & Exercise 50(5), 1103-1112.
  12. & Profiling Movement Quality Characteristics of Children (9-11y) During Recess. European Journal of Human Movement 39, 143-160.
  13. & Validity and reliability of the Fitbit Zip as a measure of preschool children’s step count. BMJ Open Sport & Exercise Medicine 3(1), e000272
  14. & Profiling Movement and Gait Quality Characteristics in Pre-School Children. Journal of Motor Behavior, 1-9.
  15. & Investigating the relationship between energy expenditure, walking speed and angle of turning in humans. PLOS ONE 12(8), e0182333
  16. & A machine learning approach to measure and monitor physical activity in children. Neurocomputing 228, 220-230.
  17. & Physical Activity and Sedentary Time Patterns in Children and Adolescents with Cystic Fibrosis and Age- and Sex-Matched Healthy Controls. Journal of Physical Activity and Health, 1-24.
  18. & Perceptions of asthma and exercise in adolescents with and without asthma. Journal of Asthma, 00-00.
  19. & High-Intensity Interval Training Interventions in Children and Adolescents: A Systematic Review. Sports Medicine
  20. & High-Intensity Interval Training Interventions in Children and Adolescents: A Systematic Review. Sports Medicine
  21. & Investigating the Physiological and Psychosocial Responses of Single- and Dual-Player Exergaming in Young Adults. Games for Health Journal 5(6), 375-381.
  22. & Feasibility and Effectiveness of Using Wearable Activity Trackers in Youth: A Systematic Review. JMIR mHealth and uHealth 4(4), e129
  23. MISSION POSSIBLE: USING UBIQUITOUS SOCIAL GOAL SHARING TECHNOLOGY TO PROMOTE PHYSICAL ACTIVITY IN CHILDREN. Movement, Health & Exercise 5(2), 1-15.
  24. et. al. A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle. Movement Ecology 4(1)
  25. & Active children through incentive vouchers – evaluation (ACTIVE): a mixed-method feasibility study. BMC Public Health 16(1)
  26. & Investigating the Relative Exercise Intensity of Exergames in Prepubertal Children. Games for Health Journal 5(2), 135-140.
  27. & Reproducibility of Heart Rate Variability Indices in Children with Cystic Fibrosis. PLOS ONE 11(3), e0151464
  28. & Energy Cost of Free-Play Activities in 10- to 11-Year-Old Children. Journal of Physical Activity and Health 13(6 Suppl 1), S71-S74.
  29. & Investigating optimal accelerometer placement for energy expenditure prediction in children using a machine learning approach. Physiological Measurement 37(10), 1728-1740.
  30. & A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans. Sports Medicine
  31. & The CHANGE! Project: Changes in Body Composition and Cardiorespiratory Fitness in 10-11 Year Old After Completing the CHANGE! Intervention. Pediatric Exercise Science, 1-25.
  32. & Weekday and weekend sedentary time and physical activity in differentially active children. Journal of Science and Medicine in Sport 18(4), 444-449.
  33. Ten-Year Secular Changes in Selected Health and Fitness Parameters of 10-11 Years Old Swansea School Children – 2003-2013. Advances in Obesity, Weight Management & Control 3(5)
  34. & Investigating the effectiveness on educational attainment and behaviour of Commando Joe’s: a school-based, military-ethos intervention. Archives of Exercise in Health and Disease 5
  35. & Longitudinal investigation of training status and cardiopulmonary responses in pre- and early-pubertal children. European Journal of Applied Physiology 114(8), 1573-1580.
  36. & Promoting healthy weight in primary school children through physical activity and nutrition education: a pragmatic evaluation of the CHANGE! randomised intervention study. BMC Public Health 13(1), 626
  37. & A Calibration Protocol for Population-Specific Accelerometer Cut-Points in Children. PLoS ONE 7(5), e36919
  38. Clustered Cardiometabolic Risk, Cardiorespiratory Fitness and Physical Activity in 10-11 Year-Old Children. The CHANGE! Project Baseline. Archives of Exercise in Health and Disease 3(3), 207-2013.
  39. & Using formative research to develop the healthy eating component of the CHANGE! school-based curriculum intervention. BMC Public Health 12(1), 710
  40. & Using formative research to develop CHANGE!: a curriculum-based physical activity promoting intervention. BMC Public Health 11(1), 831

Book Chapters

  1. & A Machine Learning Approach to Measure and Monitor Physical Activity in Children to Help Fight Overweight and Obesity. In Intelligent Computing Theories and Methodologies. (pp. 676-688).