Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
Abstract 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 w...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2016-09-01
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| Series: | BMC Public Health |
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| Online Access: | http://link.springer.com/article/10.1186/s12889-016-3603-y |
| _version_ | 1819261714502254592 |
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| author | Samantha Hajna Yan Kestens Stella S. Daskalopoulou Lawrence Joseph Benoit Thierry Mark Sherman Luc Trudeau Rémi Rabasa-Lhoret Leslie Meissner Simon L. Bacon Lise Gauvin Nancy A. Ross Kaberi Dasgupta Diabetes, GPS, and Walkablilty Study Group |
| author_facet | Samantha Hajna Yan Kestens Stella S. Daskalopoulou Lawrence Joseph Benoit Thierry Mark Sherman Luc Trudeau Rémi Rabasa-Lhoret Leslie Meissner Simon L. Bacon Lise Gauvin Nancy A. Ross Kaberi Dasgupta Diabetes, GPS, and Walkablilty Study Group |
| author_sort | Samantha Hajna |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-23T19:46:11Z |
| format | Article |
| id | doaj.art-5bae90a34f5f4d15af852f9f8eaec6ec |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-23T19:46:11Z |
| publishDate | 2016-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-5bae90a34f5f4d15af852f9f8eaec6ec2022-12-21T17:33:31ZengBMCBMC Public Health1471-24582016-09-011611810.1186/s12889-016-3603-yNeighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetesSamantha Hajna0Yan Kestens1Stella S. Daskalopoulou2Lawrence Joseph3Benoit Thierry4Mark Sherman5Luc Trudeau6Rémi Rabasa-Lhoret7Leslie Meissner8Simon L. Bacon9Lise Gauvin10Nancy A. Ross11Kaberi Dasgupta12Diabetes, GPS, and Walkablilty Study GroupDepartment of Epidemiology, Biostatistics and Occupational Health, McGill UniversityCentre de Recherche du Centre Hospitalier de l’Université de Montréal (CHUM)Department of Medicine, Division of Internal Medicine, McGill University Health Centre, Montreal General HospitalDepartment of Epidemiology, Biostatistics and Occupational Health, McGill UniversityCentre de Recherche du Centre Hospitalier de l’Université de Montréal (CHUM)Department of Medicine, Division of Endocrinology, McGill University Health CentreDivision of Internal Medicine, Jewish General HospitalInstitut de Recherches Cliniques de Montréal (IRCM)Department of Medicine, Division of Endocrinology, St. Mary’s HospitalMontreal Behavioural Medicine Centre, Hôpital du Sacré-Cœur de MontréalDépartement de médecine sociale et préventive, École de Santé Publique, Université de MontréalDepartment of Epidemiology, Biostatistics and Occupational Health, McGill UniversityDepartment of Epidemiology, Biostatistics and Occupational Health, McGill UniversityAbstract 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.http://link.springer.com/article/10.1186/s12889-016-3603-yType 2 diabetesPhysical activityAccelerometryGlobal Positioning SystemsPhysical activity locationsNeighbourhood walkability |
| spellingShingle | Samantha Hajna Yan Kestens Stella S. Daskalopoulou Lawrence Joseph Benoit Thierry Mark Sherman Luc Trudeau Rémi Rabasa-Lhoret Leslie Meissner Simon L. Bacon Lise Gauvin Nancy A. Ross Kaberi Dasgupta Diabetes, GPS, and Walkablilty Study Group Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes BMC Public Health Type 2 diabetes Physical activity Accelerometry Global Positioning Systems Physical activity locations Neighbourhood walkability |
| 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 | Type 2 diabetes Physical activity Accelerometry Global Positioning Systems Physical activity locations Neighbourhood walkability |
| url | http://link.springer.com/article/10.1186/s12889-016-3603-y |
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