Cargando…
Longitudinal associations between built environment characteristics and changes in active commuting
BACKGROUND: Few studies have assessed the predictors of changes in commuting. This study investigated the associations between physical environmental characteristics and changes in active commuting. METHODS: Adults from the population-based European Prospective Investigation into Cancer (EPIC)-Norfo...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527401/ https://www.ncbi.nlm.nih.gov/pubmed/28693547 http://dx.doi.org/10.1186/s12889-017-4396-3 |
_version_ | 1783252960221855744 |
---|---|
author | Yang, Lin Griffin, Simon Khaw, Kay-Tee Wareham, Nick Panter, Jenna |
author_facet | Yang, Lin Griffin, Simon Khaw, Kay-Tee Wareham, Nick Panter, Jenna |
author_sort | Yang, Lin |
collection | PubMed |
description | BACKGROUND: Few studies have assessed the predictors of changes in commuting. This study investigated the associations between physical environmental characteristics and changes in active commuting. METHODS: Adults from the population-based European Prospective Investigation into Cancer (EPIC)-Norfolk cohort self-reported commuting patterns in 2000 and 2007. Active commuters were defined as those who reported ‘always’ or ‘usually’ walking or cycling to work. Environmental attributes around the home and route were assessed using Geographical Information Systems. Associations between potential environmental predictors and uptake and maintenance of active commuting were modelled using logistic regression, adjusting for age, sex and BMI. RESULTS: Of the 2757 participants (62% female, median baseline age: 52, IQR: 50–56 years), most were passive commuters at baseline (76%, n = 2099) and did not change their usual commute mode over 7 years (82%, n = 2277). In multivariable regression models, participants living further from work were less likely to take up active commuting and those living in neighbourhoods with more streetlights were more likely to take up active commuting (both p < 0.05). Findings for maintenance were similar: participants living further from work (over 10 km, OR: 0.06; 95% CI: 0.25 to 0.13) and had a main or secondary road on route were more likely to maintain their active commuting (OR: 0.52; 95% CI: 0.28 to 0.98). Those living in neighbourhoods with greater density of employment locations were less likely to maintain their active commuting. CONCLUSIONS: Co-locating residential and employment centres as well as redesigning urban areas to improve safety for pedestrians and cyclists may encourage active commuting. Future evaluative studies should seek to assess the effects of redesigning the built environment on active commuting and physical activity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-017-4396-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5527401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55274012017-08-02 Longitudinal associations between built environment characteristics and changes in active commuting Yang, Lin Griffin, Simon Khaw, Kay-Tee Wareham, Nick Panter, Jenna BMC Public Health Research Article BACKGROUND: Few studies have assessed the predictors of changes in commuting. This study investigated the associations between physical environmental characteristics and changes in active commuting. METHODS: Adults from the population-based European Prospective Investigation into Cancer (EPIC)-Norfolk cohort self-reported commuting patterns in 2000 and 2007. Active commuters were defined as those who reported ‘always’ or ‘usually’ walking or cycling to work. Environmental attributes around the home and route were assessed using Geographical Information Systems. Associations between potential environmental predictors and uptake and maintenance of active commuting were modelled using logistic regression, adjusting for age, sex and BMI. RESULTS: Of the 2757 participants (62% female, median baseline age: 52, IQR: 50–56 years), most were passive commuters at baseline (76%, n = 2099) and did not change their usual commute mode over 7 years (82%, n = 2277). In multivariable regression models, participants living further from work were less likely to take up active commuting and those living in neighbourhoods with more streetlights were more likely to take up active commuting (both p < 0.05). Findings for maintenance were similar: participants living further from work (over 10 km, OR: 0.06; 95% CI: 0.25 to 0.13) and had a main or secondary road on route were more likely to maintain their active commuting (OR: 0.52; 95% CI: 0.28 to 0.98). Those living in neighbourhoods with greater density of employment locations were less likely to maintain their active commuting. CONCLUSIONS: Co-locating residential and employment centres as well as redesigning urban areas to improve safety for pedestrians and cyclists may encourage active commuting. Future evaluative studies should seek to assess the effects of redesigning the built environment on active commuting and physical activity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-017-4396-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-17 /pmc/articles/PMC5527401/ /pubmed/28693547 http://dx.doi.org/10.1186/s12889-017-4396-3 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 | Research Article Yang, Lin Griffin, Simon Khaw, Kay-Tee Wareham, Nick Panter, Jenna Longitudinal associations between built environment characteristics and changes in active commuting |
title | Longitudinal associations between built environment characteristics and changes in active commuting |
title_full | Longitudinal associations between built environment characteristics and changes in active commuting |
title_fullStr | Longitudinal associations between built environment characteristics and changes in active commuting |
title_full_unstemmed | Longitudinal associations between built environment characteristics and changes in active commuting |
title_short | Longitudinal associations between built environment characteristics and changes in active commuting |
title_sort | longitudinal associations between built environment characteristics and changes in active commuting |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527401/ https://www.ncbi.nlm.nih.gov/pubmed/28693547 http://dx.doi.org/10.1186/s12889-017-4396-3 |
work_keys_str_mv | AT yanglin longitudinalassociationsbetweenbuiltenvironmentcharacteristicsandchangesinactivecommuting AT griffinsimon longitudinalassociationsbetweenbuiltenvironmentcharacteristicsandchangesinactivecommuting AT khawkaytee longitudinalassociationsbetweenbuiltenvironmentcharacteristicsandchangesinactivecommuting AT warehamnick longitudinalassociationsbetweenbuiltenvironmentcharacteristicsandchangesinactivecommuting AT panterjenna longitudinalassociationsbetweenbuiltenvironmentcharacteristicsandchangesinactivecommuting |