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International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity

BACKGROUND: Advancements in geographic information systems over the past two decades have increased the specificity by which an individual’s neighborhood environment may be spatially defined for physical activity and health research. This study investigated how different types of street network buff...

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Autores principales: Frank, Lawrence D., Fox, Eric H., Ulmer, Jared M., Chapman, James E., Kershaw, Suzanne E., Sallis, James F., Conway, Terry L., Cerin, Ester, Cain, Kelli L., Adams, Marc A., Smith, Graham R., Hinckson, Erica, Mavoa, Suzanne, Christiansen, Lars B., Hino, Adriano Akira F., Lopes, Adalberto A. S., Schipperijn, Jasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259997/
https://www.ncbi.nlm.nih.gov/pubmed/28114945
http://dx.doi.org/10.1186/s12942-017-0077-9
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author Frank, Lawrence D.
Fox, Eric H.
Ulmer, Jared M.
Chapman, James E.
Kershaw, Suzanne E.
Sallis, James F.
Conway, Terry L.
Cerin, Ester
Cain, Kelli L.
Adams, Marc A.
Smith, Graham R.
Hinckson, Erica
Mavoa, Suzanne
Christiansen, Lars B.
Hino, Adriano Akira F.
Lopes, Adalberto A. S.
Schipperijn, Jasper
author_facet Frank, Lawrence D.
Fox, Eric H.
Ulmer, Jared M.
Chapman, James E.
Kershaw, Suzanne E.
Sallis, James F.
Conway, Terry L.
Cerin, Ester
Cain, Kelli L.
Adams, Marc A.
Smith, Graham R.
Hinckson, Erica
Mavoa, Suzanne
Christiansen, Lars B.
Hino, Adriano Akira F.
Lopes, Adalberto A. S.
Schipperijn, Jasper
author_sort Frank, Lawrence D.
collection PubMed
description BACKGROUND: Advancements in geographic information systems over the past two decades have increased the specificity by which an individual’s neighborhood environment may be spatially defined for physical activity and health research. This study investigated how different types of street network buffering methods compared in measuring a set of commonly used built environment measures (BEMs) and tested their performance on associations with physical activity outcomes. METHODS: An internationally-developed set of objective BEMs using three different spatial buffering techniques were used to evaluate the relative differences in resulting explanatory power on self-reported physical activity outcomes. BEMs were developed in five countries using ‘sausage,’ ‘detailed-trimmed,’ and ‘detailed,’ network buffers at a distance of 1 km around participant household addresses (n = 5883). RESULTS: BEM values were significantly different (p < 0.05) for 96% of sausage versus detailed-trimmed buffer comparisons and 89% of sausage versus detailed network buffer comparisons. Results showed that BEM coefficients in physical activity models did not differ significantly across buffering methods, and in most cases BEM associations with physical activity outcomes had the same level of statistical significance across buffer types. However, BEM coefficients differed in significance for 9% of the sausage versus detailed models, which may warrant further investigation. CONCLUSIONS: Results of this study inform the selection of spatial buffering methods to estimate physical activity outcomes using an internationally consistent set of BEMs. Using three different network-based buffering methods, the findings indicate significant variation among BEM values, however associations with physical activity outcomes were similar across each buffering technique. The study advances knowledge by presenting consistently assessed relationships between three different network buffer types and utilitarian travel, sedentary behavior, and leisure-oriented physical activity outcomes.
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spelling pubmed-52599972017-01-26 International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity Frank, Lawrence D. Fox, Eric H. Ulmer, Jared M. Chapman, James E. Kershaw, Suzanne E. Sallis, James F. Conway, Terry L. Cerin, Ester Cain, Kelli L. Adams, Marc A. Smith, Graham R. Hinckson, Erica Mavoa, Suzanne Christiansen, Lars B. Hino, Adriano Akira F. Lopes, Adalberto A. S. Schipperijn, Jasper Int J Health Geogr Methodology BACKGROUND: Advancements in geographic information systems over the past two decades have increased the specificity by which an individual’s neighborhood environment may be spatially defined for physical activity and health research. This study investigated how different types of street network buffering methods compared in measuring a set of commonly used built environment measures (BEMs) and tested their performance on associations with physical activity outcomes. METHODS: An internationally-developed set of objective BEMs using three different spatial buffering techniques were used to evaluate the relative differences in resulting explanatory power on self-reported physical activity outcomes. BEMs were developed in five countries using ‘sausage,’ ‘detailed-trimmed,’ and ‘detailed,’ network buffers at a distance of 1 km around participant household addresses (n = 5883). RESULTS: BEM values were significantly different (p < 0.05) for 96% of sausage versus detailed-trimmed buffer comparisons and 89% of sausage versus detailed network buffer comparisons. Results showed that BEM coefficients in physical activity models did not differ significantly across buffering methods, and in most cases BEM associations with physical activity outcomes had the same level of statistical significance across buffer types. However, BEM coefficients differed in significance for 9% of the sausage versus detailed models, which may warrant further investigation. CONCLUSIONS: Results of this study inform the selection of spatial buffering methods to estimate physical activity outcomes using an internationally consistent set of BEMs. Using three different network-based buffering methods, the findings indicate significant variation among BEM values, however associations with physical activity outcomes were similar across each buffering technique. The study advances knowledge by presenting consistently assessed relationships between three different network buffer types and utilitarian travel, sedentary behavior, and leisure-oriented physical activity outcomes. BioMed Central 2017-01-23 /pmc/articles/PMC5259997/ /pubmed/28114945 http://dx.doi.org/10.1186/s12942-017-0077-9 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Frank, Lawrence D.
Fox, Eric H.
Ulmer, Jared M.
Chapman, James E.
Kershaw, Suzanne E.
Sallis, James F.
Conway, Terry L.
Cerin, Ester
Cain, Kelli L.
Adams, Marc A.
Smith, Graham R.
Hinckson, Erica
Mavoa, Suzanne
Christiansen, Lars B.
Hino, Adriano Akira F.
Lopes, Adalberto A. S.
Schipperijn, Jasper
International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity
title International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity
title_full International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity
title_fullStr International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity
title_full_unstemmed International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity
title_short International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity
title_sort international comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259997/
https://www.ncbi.nlm.nih.gov/pubmed/28114945
http://dx.doi.org/10.1186/s12942-017-0077-9
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