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

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Detalles Bibliográficos
Autores principales: Villanueva, Karen, Alderton, Amanda, Higgs, Carl, Badland, Hannah, Goldfeld, Sharon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102076/
https://www.ncbi.nlm.nih.gov/pubmed/35564944
http://dx.doi.org/10.3390/ijerph19095549
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author Villanueva, Karen
Alderton, Amanda
Higgs, Carl
Badland, Hannah
Goldfeld, Sharon
author_facet Villanueva, Karen
Alderton, Amanda
Higgs, Carl
Badland, Hannah
Goldfeld, Sharon
author_sort Villanueva, Karen
collection PubMed
description 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.
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spelling pubmed-91020762022-05-14 Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development Villanueva, Karen Alderton, Amanda Higgs, Carl Badland, Hannah Goldfeld, Sharon Int J Environ Res Public Health Article 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. MDPI 2022-05-03 /pmc/articles/PMC9102076/ /pubmed/35564944 http://dx.doi.org/10.3390/ijerph19095549 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Villanueva, Karen
Alderton, Amanda
Higgs, Carl
Badland, Hannah
Goldfeld, Sharon
Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development
title Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development
title_full Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development
title_fullStr Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development
title_full_unstemmed Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development
title_short Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development
title_sort data to decisions: methods to create neighbourhood built environment indicators relevant for early childhood development
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102076/
https://www.ncbi.nlm.nih.gov/pubmed/35564944
http://dx.doi.org/10.3390/ijerph19095549
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