Cargando…

How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?

Researchers investigating relationships between the neighbourhood environment and health first need to decide on the spatial extent of the neighbourhood they are interested in. This decision is an important and ongoing methodological challenge since different methods of defining and delineating neig...

Descripción completa

Detalles Bibliográficos
Autores principales: Mavoa, Suzanne, Bagheri, Nasser, Koohsari, Mohammad Javad, Kaczynski, Andrew T., Lamb, Karen E., Oka, Koichiro, O’Sullivan, David, Witten, Karen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540146/
https://www.ncbi.nlm.nih.gov/pubmed/31035336
http://dx.doi.org/10.3390/ijerph16091501
_version_ 1783422553419677696
author Mavoa, Suzanne
Bagheri, Nasser
Koohsari, Mohammad Javad
Kaczynski, Andrew T.
Lamb, Karen E.
Oka, Koichiro
O’Sullivan, David
Witten, Karen
author_facet Mavoa, Suzanne
Bagheri, Nasser
Koohsari, Mohammad Javad
Kaczynski, Andrew T.
Lamb, Karen E.
Oka, Koichiro
O’Sullivan, David
Witten, Karen
author_sort Mavoa, Suzanne
collection PubMed
description Researchers investigating relationships between the neighbourhood environment and health first need to decide on the spatial extent of the neighbourhood they are interested in. This decision is an important and ongoing methodological challenge since different methods of defining and delineating neighbourhood boundaries can produce different results. This paper explores this issue in the context of a New Zealand-based study of the relationship between the built environment and multiple measures of physical activity. Geographic information systems were used to measure three built environment attributes—dwelling density, street connectivity, and neighbourhood destination accessibility—using seven different neighbourhood definitions (three administrative unit boundaries, and 500, 800, 1000- and 1500-m road network buffers). The associations between the three built environment measures and five measures of physical activity (mean accelerometer counts per hour, percentage time in moderate–vigorous physical activity, self-reported walking for transport, self-reported walking for recreation and self-reported walking for all purposes) were modelled for each neighbourhood definition. The combination of the choice of neighbourhood definition, built environment measure, and physical activity measure determined whether evidence of an association was detected or not. Results demonstrated that, while there was no single ideal neighbourhood definition, the built environment was most consistently associated with a range of physical activity measures when the 800-m and 1000-m road network buffers were used. For the street connectivity and destination accessibility measures, associations with physical activity were less likely to be detected at smaller scales (less than 800 m). In line with some previous research, this study demonstrated that the choice of neighbourhood definition can influence whether or not an association between the built environment and adults’ physical activity is detected or not. This study additionally highlighted the importance of the choice of built environment attribute and physical activity measures. While we identified the 800-m and 1000-m road network buffers as the neighbourhood definitions most consistently associated with a range of physical activity measures, it is important that researchers carefully consider the most appropriate type of neighbourhood definition and scale for the particular aim and participants, especially at smaller scales.
format Online
Article
Text
id pubmed-6540146
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-65401462019-06-05 How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity? Mavoa, Suzanne Bagheri, Nasser Koohsari, Mohammad Javad Kaczynski, Andrew T. Lamb, Karen E. Oka, Koichiro O’Sullivan, David Witten, Karen Int J Environ Res Public Health Article Researchers investigating relationships between the neighbourhood environment and health first need to decide on the spatial extent of the neighbourhood they are interested in. This decision is an important and ongoing methodological challenge since different methods of defining and delineating neighbourhood boundaries can produce different results. This paper explores this issue in the context of a New Zealand-based study of the relationship between the built environment and multiple measures of physical activity. Geographic information systems were used to measure three built environment attributes—dwelling density, street connectivity, and neighbourhood destination accessibility—using seven different neighbourhood definitions (three administrative unit boundaries, and 500, 800, 1000- and 1500-m road network buffers). The associations between the three built environment measures and five measures of physical activity (mean accelerometer counts per hour, percentage time in moderate–vigorous physical activity, self-reported walking for transport, self-reported walking for recreation and self-reported walking for all purposes) were modelled for each neighbourhood definition. The combination of the choice of neighbourhood definition, built environment measure, and physical activity measure determined whether evidence of an association was detected or not. Results demonstrated that, while there was no single ideal neighbourhood definition, the built environment was most consistently associated with a range of physical activity measures when the 800-m and 1000-m road network buffers were used. For the street connectivity and destination accessibility measures, associations with physical activity were less likely to be detected at smaller scales (less than 800 m). In line with some previous research, this study demonstrated that the choice of neighbourhood definition can influence whether or not an association between the built environment and adults’ physical activity is detected or not. This study additionally highlighted the importance of the choice of built environment attribute and physical activity measures. While we identified the 800-m and 1000-m road network buffers as the neighbourhood definitions most consistently associated with a range of physical activity measures, it is important that researchers carefully consider the most appropriate type of neighbourhood definition and scale for the particular aim and participants, especially at smaller scales. MDPI 2019-04-28 2019-05 /pmc/articles/PMC6540146/ /pubmed/31035336 http://dx.doi.org/10.3390/ijerph16091501 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mavoa, Suzanne
Bagheri, Nasser
Koohsari, Mohammad Javad
Kaczynski, Andrew T.
Lamb, Karen E.
Oka, Koichiro
O’Sullivan, David
Witten, Karen
How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?
title How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?
title_full How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?
title_fullStr How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?
title_full_unstemmed How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?
title_short How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?
title_sort how do neighbourhood definitions influence the associations between built environment and physical activity?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540146/
https://www.ncbi.nlm.nih.gov/pubmed/31035336
http://dx.doi.org/10.3390/ijerph16091501
work_keys_str_mv AT mavoasuzanne howdoneighbourhooddefinitionsinfluencetheassociationsbetweenbuiltenvironmentandphysicalactivity
AT bagherinasser howdoneighbourhooddefinitionsinfluencetheassociationsbetweenbuiltenvironmentandphysicalactivity
AT koohsarimohammadjavad howdoneighbourhooddefinitionsinfluencetheassociationsbetweenbuiltenvironmentandphysicalactivity
AT kaczynskiandrewt howdoneighbourhooddefinitionsinfluencetheassociationsbetweenbuiltenvironmentandphysicalactivity
AT lambkarene howdoneighbourhooddefinitionsinfluencetheassociationsbetweenbuiltenvironmentandphysicalactivity
AT okakoichiro howdoneighbourhooddefinitionsinfluencetheassociationsbetweenbuiltenvironmentandphysicalactivity
AT osullivandavid howdoneighbourhooddefinitionsinfluencetheassociationsbetweenbuiltenvironmentandphysicalactivity
AT wittenkaren howdoneighbourhooddefinitionsinfluencetheassociationsbetweenbuiltenvironmentandphysicalactivity