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

Author(s): Hajna S, Kestens Y, Daskalopoulou SS, Joseph L, Thierry B, Sherman M, Trudeau L, Rabasa-Lhoret R, Meissner L, Bacon SL, Gauvin L, Ross NA, D...

BMC Public Health. 2016 09 09;16:957 Authors: Hajna S, Kestens Y, Daskalopoulou SS, Joseph L, Thierry B, Sherman M, Trudeau L, Rabasa-Lhoret R, Meissner L, Bacon SL, Gauvin L, Ross NA, Dasgupta K,...

Article GUID: 27613233
Title:Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes.
Authors:Hajna S,  Kestens Y,  Daskalopoulou SS,  Joseph L,  Thierry B,  Sherman M,  Trudeau L,  Rabasa-Lhoret R,  Meissner L,  Bacon SL,  Gauvin L,  Ross NA,  Dasgupta K,  Diabetes,  GPS,  and Walkablilty Study Group
Link:https://www.ncbi.nlm.nih.gov/pubmed/27613233?dopt=Abstract
Category:BMC Public Health
PMID:27613233
Dept Affiliation: HKAP
1 Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Avenue West, Montreal, QC, Canada.
2 Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CHUM), Tour St-Antoine, S02-340, 850 St-Denis, Montreal, QC, Canada.
3 Department of Medicine, Division of Internal Medicine, McGill University Health Centre, Montreal General Hospital, 1650 Cedar Avenue, C2.101.4, Montréal, QC, Canada.
4 Department of Medicine, Division of Clinical Epidemiology, McGill University Health Centre, 687 Pine Avenue West, V1.08, Montréal, QC, Canada.
5 Department of Medicine, Division of Endocrinology, McGill University Health Centre, 1001 Boulevard Decarie, Montreal, QC, Canada.
6 Division of Internal Medicine, Jewish General Hospital, 3755 Cote Sainte-Catherine, Montreal, QC, Canada.
7 Institut de Recherches Cliniques de Montréal (IRCM), 110 avenue des Pins, Montréal, QC, Canada.
8 Department of Medicine, Division of Endocrinology, St. Mary's Hospital, 3830 Lacombe Avenue, Montreal, QC, Canada.
9 Montreal Behavioural Medicine Centre, Hôpital du Sacré-Cœur de Montréal, 5400 Boul. Gouin Ouest, Montréal, QC, Canada.
10 Department of Exercise Science, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, Canada.
11 Département de médecine sociale et préventive, École de Santé Publique, Université de Montréal, 7101 avenue du Parc, Montréal, QC, Canada.
12 Department of Geography, McGill University, 805 Sherbrooke Street West, Montreal, QC, Canada.
13 Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Avenue West, Montreal, QC, Canada. kaberi.dasgupta@mcgill.ca.
14 Department of Medicine, Division of Clinical Epidemiology, McGill University Health Centre, 687 Pine Avenue West, V1.08, Montréal, QC, Canada. kaberi.dasgupta@mcgill.ca.

Description:

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

BMC Public Health. 2016 09 09;16:957

Authors: Hajna S, Kestens Y, Daskalopoulou SS, Joseph L, Thierry B, Sherman M, Trudeau L, Rabasa-Lhoret R, Meissner L, Bacon SL, Gauvin L, Ross NA, Dasgupta K, Diabetes, GPS, and Walkablilty Study Group

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.

PMID: 27613233 [PubMed - indexed for MEDLINE]