Dr Tom Stewart

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Research Fellow

Email: tom.stewart@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0001-5915-3843

Links to relevant web pages:

Academic appointments:

  • Research Fellow, Auckland University of Technology, Auckland (2017 - ongoing)

Qualifications:

  • PhD, Auckland University of Technology, Auckland

Overview:

Tom is a Research Fellow at the Human Potential Centre, located at AUT Millennium. His research is broadly based in public health, with a focus on physical activity epidemiology, understanding the environmental determinants of health, and finding preventative solutions for reducing the prevalence of chronic disease. His recent interests include combining big data and machine learning to tackle a range of public health research challenges.

Teaching summary:

• Physical activity and health promotion
• Quantitative research methods

Professional activities:

Editorship, reviewing, examining, and judging

  • Associate Editor, Journal for the Measurement of Physical Behaviour (2019 - ongoing)
  • Editorial Board, International Journal of Behavioral Nutrition and Physical Activity (2019 - ongoing)

Research outputs:

Journal articles

  • Narayanan, A., Desai, F., Stewart, T., Duncan, S., & Mackay, L. (2020). Application of raw accelerometer data and machine-learning techniques to characterize human movement behavior: A systematic scoping review. Journal of Physical Activity and Health. doi:10.1123/jpah.2019-0088

  • Narayanan, A., Stewart, T., & Mackay, L. (2020). A dual-accelerometer system for detecting human movement in a free-living environment. Medicine and Science in Sports and Exercise, 52(1), 252-258. doi:10.1249/MSS.0000000000002107

  • Duncan, S., Stewart, T., McPhee, J., Borotkanics, R., Prendergast, K., Zinn, C., . . . Schofield, G. (2019). Efficacy of a compulsory homework programme for increasing physical activity and improving nutrition in children: A cluster randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 16(1). doi:10.1186/s12966-019-0840-3

  • Smith, M., Obolonkin, V., Plank, L., Iusitini, L., Forsyth, E., Stewart, T., . . . Rush, E. (2019). The importance of pedestrian network connectivity for adolescent health: A cross-sectional examination of associations between neighbourhood built environments and metabolic health in the Pacific Islands Families Birth Cohort Study. International Journal of Environmental Research and Public Health, 16(18). doi:10.3390/ijerph16183375

  • Vorlicek, M., Stewart, T., Dygryn, J., Rubin, L., Mitas, J., & Schipperijn, J. (2019). The comparison of Holux and Qstarz GPS receivers in free living conditions: Dynamic accuracy in different active transport modes. Acta Gymnica, 49(3), 109-114. doi:10.5507/ag.2019.009

  • Zhao, J., Mackay, L., Chang, K., Mavoa, S., Stewart, T., Ikeda, E., . . . Smith, M. (2019). Visualising combined time use patterns of children’s activities and their association with weight status and neighbourhood context. International Journal of Environmental Research and Public Health, 16(5). doi:10.3390/ijerph16050897

  • McGrath, J. W., Neville, J., Stewart, T., & Cronin, J. (2019). Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning. Journal of Sports Sciences, 37(11), 1220-1226. doi:10.1080/02640414.2018.1553270

  • Stewart, T., Narayanan, A., Hedayatrad, L., Neville, J., Mackay, L., & Duncan, S. (2018). A Dual-Accelerometer System for Classifying Physical Activity in Children and Adults.. Medicine and Science in Sports and Exercise, 50(12). doi:10.1249/MSS.0000000000001717

  • Duncan, S., Stewart, T., Mackay, L., Neville, J., Narayanan, A., Walker, C., . . . Morton, S. (2018). Wear-time compliance with a dual-accelerometer system for capturing 24-h behavioural profiles in children and adults. International Journal of Environmental Research and Public Health, 15(7). doi:10.3390/ijerph15071296

  • Duncan, S., Stewart, T., Schneller, M. B., Godbole, S., Cain, K., & Kerr, J. (2018). Convergent validity of ActiGraph and Actical accelerometers for estimating physical activity in adults. PLoS ONE, 13(6). doi:10.1371/journal.pone.0198587

  • Ikeda, E., Stewart, T., Garrett, N., Egli, V., Mandic, S., Hosking, J., . . . Smith, M. (2018). Built environment associates of active school travel in New Zealand children and youth: A systematic meta-analysis using individual participant data. Journal of Transport and Health, 9. doi:10.1016/j.jth.2018.04.007

  • Hjort, M., Martin, W. M., Stewart, T., & Troelsen, J. (2018). Design of urban public spaces: Intent vs. reality. International Journal of Environmental Research and Public Health, 15(4). doi:10.3390/ijerph15040816

  • Hinckson, E., Cerin, E., Mavoa, S., Smith, M., Badland, H., Stewart, T., . . . Schofield, G. (2017). Associations of the perceived and objective neighborhood environment with physical activity and sedentary time in New Zealand adolescents. International Journal of Behavioral Nutrition and Physical Activity, 14. doi:10.1186/s12966-017-0597-5

  • Bhosale, J., Duncan, S., Stewart, T., Chaix, B., Kestens, Y., & Schofield, G. (2017). Measuring children's independent mobility: Comparing interactive mapping with destination access and licence to roam. Children's Geographies, 15(6). doi:10.1080/14733285.2017.1293232

  • Smith, M., Taylor, S., Iusitini, L., Stewart, T., Savila, F., Tautolo, E. -S., . . . Rush, E. (2017). Accelerometer data treatment for adolescents: Fitting a piece of the puzzle. Preventive Medicine Reports, 5(Mar). doi:10.1016/j.pmedr.2016.12.010

  • Stewart, T., Duncan, S., & Schipperijn, J. (2017). Adolescents who engage in active school transport are also more active in other contexts: A space-time investigation. Health & Place, 43. doi:10.1016/j.healthplace.2016.11.009

  • Stewart, T., Schipperijn, J., Snizek, B., & Duncan, S. (2016). Adolescent school travel: Is online mapping a practical alternative to GPS-assessed travel routes?. Journal of Transport and Health. doi:10.1016/j.jth.2016.10.001

  • Ward, J. S., Duncan, S., Jarden, A., & Stewart, T. (2016). The impact of children's exposure to greenspace on physical activity, cognitive development, emotional wellbeing, and ability to appraise risk. Health and Place, 40. doi:10.1016/j.healthplace.2016.04.015

  • Duncan, S., White, K., Mavoa, S., Stewart, T., Hinckson, E., & Schofield, G. (2016). Active transport, physical activity, and distance between home and school in children and adolescents. Journal of Physical Activity and Health, 13(4). doi:10.1123/jpah.2015-0054

  • Aminian, S., Hinckson, E. A., & Stewart, T. (2015). Modifying the classroom environment to increase standing and reduce sitting. Building Research and Information, 43(5). doi:10.1080/09613218.2015.1058093

  • Stewart, T., Duncan, S., Chaix, B., Kestens, Y., Schipperijn, J., & Schofield, G. (2015). A novel assessment of adolescent mobility: A pilot study. International Journal of Behavioral Nutrition and Physical Activity, 12. doi:10.1186/s12966-015-0176-6

  • Hinckson, E., Duncan, S., Oliver, M., Mavoa, S., Cerin, E., Badland, H., . . . Schofield, G. (2014). Built environment and physical activity in New Zealand adolescents: A protocol for a cross-sectional study. BMJ Open, 4. doi:10.1136/bmjopen-2013-004475

  • Hinckson, E. A., Aminian, S., Ikeda, E., Stewart, T., Oliver, M., Duncan, S., & Schofield, G. (2013). Acceptability of standing workstations in elementary schools: A pilot study. Preventive Medicine, 56(1).

  • Duncan, S., Stewart, T. I., Oliver, M., Mavoa, S., MacRae, D., Badland, H. M., & Duncan, M. J. (2013). Portable global positioning system receivers: Static validity and environmental conditions. American Journal of Preventive Medicine, 44(2). doi:10.1016/j.amepre.2012.10.013

Book chapters

  • Egli, V., Ikeda, E., Stewart, T., & Smith, M. (2018). Interpersonal Correlates of Active Transportation. In Children's Active Transportation (pp. 115-125). Elsevier. doi:10.1016/B978-0-12-811931-0.00008-9

  • Larouche, R., Sarmiento, O., & Stewart, T. (2018). Active Transportation—Is the School Hiding the Forest?. In Children's Active Transportation (pp. 243-258). Elsevier. doi:10.1016/B978-0-12-811931-0.00017-X

Conference contributions

  • Meredith-Jones, K., Galland, B., Graham-DeMello, A., Haszard, J., Stewart, T., Mackay, L., . . . Duncan, S. (2019). Time2Move: changing the way we assess sleep, physical activity and sedentary behaviour in children. In ICAMPAM 2019 oral abstracts. Maastricht. Retrieved from https://ismpb.org/2019-maastricht/

  • Stewart, T., Narayanan, A., & Mackay, L. (2019). Population-specific algorithm development: do activity classification models developed in children generalise to the adult population (and vice versa). In ICAMPAM 2019 oral abstracts. Maastricht. Retrieved from https://ismpb.org/2019-maastricht/

  • Stewart, T., Mackay, L., & Narayanan T.L., A. (2019). Validity of a dual-accelerometer system for accurately detecting postures and movement patterns in a free-living environment. In Abstract book for the ISBNPA 2019 Annual Meeting (pp. 308). Prague.

  • Vorlicek, M., Stewart, T., Dygryn, J., Rubín, L., Mitáš, J., & Schipperijn, J. (2019). Objectively measured share of the MVPA and sedentary time across six spatial domains. In Abstract book for the ISBNPA 2019 Annual Meeting (pp. 683-1267). Prague. Retrieved from http://isbnpa2019.venuewest.com/program/program-overview/

  • Narayanan, A., Stewart, T., & Mackay, L. (2019). Activity classification models developed in controlled laboratory settings: how well do they generalise to free-living conditions?. In ICAMPAM 2019 Poster Abstracts. Maastricht. Retrieved from https://ismpb.org/2019-maastricht/

  • Mackay, L., Narayanan T.L., A., Stewart, T., & Duncan, S. (2019). Exploring 24-h time-use patterns of non-standard workers. In Final Programme and Book of Abstracts (pp. 35). Olomouc.

  • Stewart, T., Narayanan T.L., A., Mackay, L., Neville, J., Duncan, S., Walker, C., . . . Morton, S. (2019). Estimating accelerometer wear time in physical activity research: Can machine learning improve traditional count-based methods?. In Abstract book for the ISBNPA 2019 Annual Meeting (pp. 307). Prague.

  • Mackay, L., Narayanan T.L., A., Stewart, T., & Duncan, S. (2019). Intraindividual variability of day length among working adults: Implications for 24-h measurement of behaviour. In Abstract book for the ISBNPA 2019 Annual Meeting (pp. 418). Prague.

  • Stewart, T., Neville, J., & Duncan, S. (2019). Clusters of time use behaviours in New Zealand children. In Final programme and book of abstracts (pp. 34). Olomouc. Retrieved from https://www.intue.org/

  • Stewart, T., Hedeyatrad, L., Narayanan, A., Neville, J., & Duncan, S. (2018). Validity of a dual-accelerometer system for classifying physical activities and sedentary behaviours. In Abstract book for the ISBNPA 2018 Annual Meeting in Hong Kong (pp. 36). Hong Kong: International Society of Behavioral Nutrition and Physical Activity.

  • Duncan, S., Stewart, T., Neville, J., Mackay, L., Walker, C., Berry, S., & Morton, S. (2018). Utility of a novel dual-accelerometer system for capturing 24-hour behavioural profiles in free-living populations. In Abstract book for the ISBNPA 2018 Annual Meeting in Hong Kong (pp. 35). Hong Kong: International Society of Behavioral Nutrition and Physical Activity.

  • Hinckson, E., Cerin, E., Mavoa, S., Stewart, T., Smith, M., Badland, H., . . . Schofield, G. (2017). Is the perceived or objective neighbourhood environment associated with physical activity and sedentary time in NZ adolescents?. In International Society of Behavioral Nutrition and Physical Activity. Victoria.

  • Stewart, T., Schipperijn, J., Snizek, B., & Duncan, S. (2016). The automated extraction of multimodal trips from GPS data: An innovative processing approach to improve travel mode and route assessment. In The 6th International Congress on Physical Activity and Public Health. Bangkok.

  • Stewart, T., Schipperijn, J., Snizek, B., & Duncan, S. (2016). Adolescent school travel: Is SoftGIS a practical alternative to GPS-assessed travel routes?. In The 6th International Congress on Physical Activity and Public Health. Bangkok.

  • Schmidt, T., Stewart, T., Duncan, S., & Schipperijn, J. (2016). Using structural equation modeling to assess objective and perceived built environment interactions of cycling to school. In The 6th International Congress on Physical Activity and Public Health. Bangkok.

  • Stewart, T., Duncan, S., Baker, N., & Moon, J. (2014). Accuracy of the Motorola Defy smartphone for assessing physical activity and distance travelled. In International Society of Behavioural Nutrition and Physical Activity. San Diego, California.

  • Stewart, T., Duncan, S., Chaix, B., Kestens, Y., Schipperijn, J., & Schofield, G. (2014). A novel assessment of adolescent mobility: A pilot study. In International Society of Behavioural Nutrition and Physical Activity. San Diego, California. Retrieved from https://www.isbnpa.org/index.php?r=annualMeeting/index&year=2014

Reports

  • Kolose, S., Stewart, T., & Hume, P. (2019). NZDF uniform size prediction model and application development: Technical report to the New Zealand Defence Force (NZDF). Auckland, New Zealand.

  • Stewart, T., Duncan, S., Walker, C., Berry, S., & Schofield, G. (2019). Effects of screen time on preschool health and development. Ministry of Social Development. Retrieved from https://www.msd.govt.nz/

Theses

  • Stewart, T. (2017). Integrating GPS, Accelerometry and Online Mapping Technologies: Exploring Built Environment Correlates of Adolescent Mobility and Domain-specific Physical Activity. (AUT University, Auckland, New Zealand). Retrieved from https://openrepository.aut.ac.nz/handle/10292/10623