Journal article

Visualising combined time use patterns of children’s activities and their association with weight status and neighbourhood context

J Zhao, L Mackay, K Chang, S Mavoa, T Stewart, E Ikeda, N Donnellan, M Smith

International Journal of Environmental Research and Public Health | MDPI | Published : 2019

Abstract

Compositional data techniques are an emerging method in physical activity research. These techniques account for the complexities of, and interrelationships between, behaviours that occur throughout a day (e.g., physical activity, sitting, and sleep). The field of health geography research is also developing rapidly. Novel spatial techniques and data visualisation approaches are increasingly being recognised for their utility in understanding health from a socio-ecological perspective. Linking compositional data approaches with geospatial datasets can yield insights into the role of environments in promoting or hindering the health implications of the daily time-use composition of behaviours..

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University of Melbourne Researchers

Grants

Awarded by National Health and Medical Research Council


Funding Acknowledgements

This study was supported by a University of Auckland Faculty of Medical and Health Sciences Faculty Research Development Fund Grant (grant number: 3715390). Neighbourhoods for Active Kids was supported by the Health Research Council of New Zealand (grant number: 14/436). Melody Smith is supported by a Health Research Council of New Zealand Sir Charles Hercus Research Fellowship (grant number: 17/013). Suzanne Mavoa is supported by an Australian National Health and Medical Research Council Early Career Fellowship (grant number: #1121035).