International Comparison of Observation-specific Spatial Buffers: Maximizing the Ability to Estimate Physical Activity
aut.relation.issue | 1 | en_NZ |
aut.relation.journal | Int J Health Geogr | en_NZ |
aut.relation.startpage | 4 | |
aut.relation.volume | 16 | en_NZ |
aut.researcher | Hinckson, Erica | |
dc.contributor.author | Frank, LD | en_NZ |
dc.contributor.author | Fox, EH | en_NZ |
dc.contributor.author | Ulmer, JM | en_NZ |
dc.contributor.author | Chapman, JE | en_NZ |
dc.contributor.author | Kershaw, SE | en_NZ |
dc.contributor.author | Sallis, JF | en_NZ |
dc.contributor.author | Conway, TL | en_NZ |
dc.contributor.author | Cerin, E | en_NZ |
dc.contributor.author | Cain, KL | en_NZ |
dc.contributor.author | Adams, MA | en_NZ |
dc.contributor.author | Smith, GR | en_NZ |
dc.contributor.author | Hinckson, E | en_NZ |
dc.contributor.author | Mavoa, S | en_NZ |
dc.contributor.author | Christiansen, LB | en_NZ |
dc.contributor.author | Hino, AA | en_NZ |
dc.contributor.author | Lopes, AA | en_NZ |
dc.contributor.author | Schipperijn, J | en_NZ |
dc.date.accessioned | 2017-07-24T22:44:33Z | |
dc.date.available | 2017-07-24T22:44:33Z | |
dc.date.copyright | 2017-01-23 | en_NZ |
dc.date.issued | 2017-01-23 | en_NZ |
dc.description.abstract | 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. | en_NZ |
dc.identifier.citation | International journal of health geographics, 16(1), 4. | |
dc.identifier.doi | 10.1186/s12942-017-0077-9 | en_NZ |
dc.identifier.issn | 1476-072X | en_NZ |
dc.identifier.uri | https://hdl.handle.net/10292/10673 | |
dc.language | eng | en_NZ |
dc.publisher | BioMed Central | |
dc.relation.uri | https://ij-healthgeographics.biomedcentral.com/articles/10.1186/s12942-017-0077-9 | |
dc.rights | © The Author(s) 2017. This 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. | |
dc.rights.accessrights | OpenAccess | en_NZ |
dc.subject | Built environment | en_NZ |
dc.subject | GIS methods | en_NZ |
dc.subject | Network buffer | en_NZ |
dc.subject | Reliability | en_NZ |
dc.subject | Self-reported physical activity | en_NZ |
dc.title | International Comparison of Observation-specific Spatial Buffers: Maximizing the Ability to Estimate Physical Activity | en_NZ |
dc.type | Journal Article | |
pubs.elements-id | 219307 | |
pubs.organisational-data | /AUT | |
pubs.organisational-data | /AUT/Faculty of Business, Economics and Law | |
pubs.organisational-data | /AUT/Faculty of Business, Economics and Law/NZ Work Research Institute | |
pubs.organisational-data | /AUT/Health & Environmental Science |
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