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Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes

BACKGROUND: Converging international evidence suggests that diabetes incidence is lower among adults living in more walkable neighbourhoods. The association between walkability and physical activity (PA), the presumed mediator of this relationship, has not been carefully examined in adults with type...

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Autores principales: Hajna, Samantha, Kestens, Yan, Daskalopoulou, Stella S., Joseph, Lawrence, Thierry, Benoit, Sherman, Mark, Trudeau, Luc, Rabasa-Lhoret, Rémi, Meissner, Leslie, Bacon, Simon L., Gauvin, Lise, Ross, Nancy A., Dasgupta, Kaberi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017036/
https://www.ncbi.nlm.nih.gov/pubmed/27613233
http://dx.doi.org/10.1186/s12889-016-3603-y
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author Hajna, Samantha
Kestens, Yan
Daskalopoulou, Stella S.
Joseph, Lawrence
Thierry, Benoit
Sherman, Mark
Trudeau, Luc
Rabasa-Lhoret, Rémi
Meissner, Leslie
Bacon, Simon L.
Gauvin, Lise
Ross, Nancy A.
Dasgupta, Kaberi
author_facet Hajna, Samantha
Kestens, Yan
Daskalopoulou, Stella S.
Joseph, Lawrence
Thierry, Benoit
Sherman, Mark
Trudeau, Luc
Rabasa-Lhoret, Rémi
Meissner, Leslie
Bacon, Simon L.
Gauvin, Lise
Ross, Nancy A.
Dasgupta, Kaberi
author_sort Hajna, Samantha
collection PubMed
description BACKGROUND: Converging international evidence suggests that diabetes incidence is lower among adults living in more walkable neighbourhoods. The association between walkability and physical activity (PA), the presumed mediator of this relationship, has not been carefully examined in adults with type 2 diabetes. We investigated the associations of walkability with total PA occurring within home neighbourhoods and overall PA, irrespective of location. METHODS: Participants (n = 97; 59.5 ± 10.5 years) were recruited through clinics in Montreal (QC, Canada) and wore a GPS-accelerometer device for 7 days. Total PA was expressed as the total Vector of the Dynamic Body Acceleration. PA location was determined using a Global Positioning System (GPS) device (SIRF IV chip). Walkability (street connectivity, land use mix, population density) was assessed using Geographical Information Systems software. The cross-sectional associations between walkability and location-based PA were estimated using robust linear regressions adjusted for age, body mass index, sex, university education, season, car access, residential self-selection, and wear-time. RESULTS: A one standard deviation (SD) increment in walkability was associated with 10.4 % of a SD increment in neighbourhood-based PA (95 % confidence interval (CI) 1.2, 19.7) – equivalent to 165 more steps/day (95 % 19, 312). Car access emerged as an important predictor of neighbourhood-based PA (Not having car access: 38.6 % of a SD increment in neighbourhood-based PA, 95 % CI 17.9, 59.3). Neither walkability nor car access were conclusively associated with overall PA. CONCLUSIONS: Higher neighbourhood walkability is associated with higher home neighbourhood-based PA but not with higher overall PA. Other factors will need to be leveraged to facilitate meaningful increases in overall PA among adults with type 2 diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-3603-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-50170362016-09-10 Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes Hajna, Samantha Kestens, Yan Daskalopoulou, Stella S. Joseph, Lawrence Thierry, Benoit Sherman, Mark Trudeau, Luc Rabasa-Lhoret, Rémi Meissner, Leslie Bacon, Simon L. Gauvin, Lise Ross, Nancy A. Dasgupta, Kaberi BMC Public Health Research Article BACKGROUND: Converging international evidence suggests that diabetes incidence is lower among adults living in more walkable neighbourhoods. The association between walkability and physical activity (PA), the presumed mediator of this relationship, has not been carefully examined in adults with type 2 diabetes. We investigated the associations of walkability with total PA occurring within home neighbourhoods and overall PA, irrespective of location. METHODS: Participants (n = 97; 59.5 ± 10.5 years) were recruited through clinics in Montreal (QC, Canada) and wore a GPS-accelerometer device for 7 days. Total PA was expressed as the total Vector of the Dynamic Body Acceleration. PA location was determined using a Global Positioning System (GPS) device (SIRF IV chip). Walkability (street connectivity, land use mix, population density) was assessed using Geographical Information Systems software. The cross-sectional associations between walkability and location-based PA were estimated using robust linear regressions adjusted for age, body mass index, sex, university education, season, car access, residential self-selection, and wear-time. RESULTS: A one standard deviation (SD) increment in walkability was associated with 10.4 % of a SD increment in neighbourhood-based PA (95 % confidence interval (CI) 1.2, 19.7) – equivalent to 165 more steps/day (95 % 19, 312). Car access emerged as an important predictor of neighbourhood-based PA (Not having car access: 38.6 % of a SD increment in neighbourhood-based PA, 95 % CI 17.9, 59.3). Neither walkability nor car access were conclusively associated with overall PA. CONCLUSIONS: Higher neighbourhood walkability is associated with higher home neighbourhood-based PA but not with higher overall PA. Other factors will need to be leveraged to facilitate meaningful increases in overall PA among adults with type 2 diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-3603-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-09-09 /pmc/articles/PMC5017036/ /pubmed/27613233 http://dx.doi.org/10.1186/s12889-016-3603-y Text en © The Author(s). 2016 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
Hajna, Samantha
Kestens, Yan
Daskalopoulou, Stella S.
Joseph, Lawrence
Thierry, Benoit
Sherman, Mark
Trudeau, Luc
Rabasa-Lhoret, Rémi
Meissner, Leslie
Bacon, Simon L.
Gauvin, Lise
Ross, Nancy A.
Dasgupta, Kaberi
Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
title Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
title_full Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
title_fullStr Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
title_full_unstemmed Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
title_short Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
title_sort neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017036/
https://www.ncbi.nlm.nih.gov/pubmed/27613233
http://dx.doi.org/10.1186/s12889-016-3603-y
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