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Article

Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development

1
Centre for Urban Research, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, VIC 3000, Australia
2
Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
3
Department of Paediatrics, The University of Melbourne, Parkville, VIC 3052, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2022, 19(9), 5549; https://doi.org/10.3390/ijerph19095549
Received: 9 March 2022 / Revised: 7 April 2022 / Accepted: 29 April 2022 / Published: 3 May 2022
(This article belongs to the Special Issue Designing Cities That Support Healthy Child Development)
Healthy development in the early years lays the foundations for children’s ongoing physical, emotional, and social development. Children develop in multiple contexts, including their local neighbourhood. Neighbourhood-built environment characteristics, such as housing, walkability, traffic exposure, availability of services, facilities, and parks, are associated with a range of health and wellbeing outcomes across the life course, but evidence with early years’ outcomes is still emerging. Data linkage techniques were used to assemble a dataset of spatial (objectively-measured) neighbourhood-built environment (BE) measures linked to participant addresses in the 2015 Australian Early Development Census (AEDC) for children living in the 21 most populous urban and regional Australian cities (n = 235,655) to help address this gap. This paper describes the methods used to develop this dataset. This linked dataset (AEDC-BE) is the first of its kind worldwide, enabling opportunities for identifying which features of the built environment are associated with ECD across Australia at scale, allow comparisons between diverse contexts, and the identification of where best to intervene. National data coverage provides statistical power to model real-world complexities, such as differences by city, state/territory, and remoteness. The neighbourhood-built environment can be modified by policy and practice at scale, and has been identified as a way to help reduce inequitable early childhood development outcomes. View Full-Text
Keywords: built environment; data linkage; early childhood development; neighbourhood; indicators built environment; data linkage; early childhood development; neighbourhood; indicators
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    Doi: 10.5281/zenodo.6340324
    Description: Supplementary Material 1. Built environment data sources
MDPI and ACS Style

Villanueva, K.; Alderton, A.; Higgs, C.; Badland, H.; Goldfeld, S. Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development. Int. J. Environ. Res. Public Health 2022, 19, 5549. https://doi.org/10.3390/ijerph19095549

AMA Style

Villanueva K, Alderton A, Higgs C, Badland H, Goldfeld S. Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development. International Journal of Environmental Research and Public Health. 2022; 19(9):5549. https://doi.org/10.3390/ijerph19095549

Chicago/Turabian Style

Villanueva, Karen, Amanda Alderton, Carl Higgs, Hannah Badland, and Sharon Goldfeld. 2022. "Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development" International Journal of Environmental Research and Public Health 19, no. 9: 5549. https://doi.org/10.3390/ijerph19095549

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