Identifying built environmental patterns using cluster analysis and GIS: Relationships with walking, cycling and body mass index in French adults

International Journal of Behavioral Nutrition and Physical Activity

Research

Romain Casey¹  Chantal Simon¹  Arnaud Banos²  Basile Chaix³  Christiane Weber⁴  Paul Salze⁴  Dominique Badariotti⁴  Hélène Charreire⁵  Emmanuelle Kesse-Guyot⁶  Serge Hercberg⁶  Jean-Michel Oppert⁷ 

[1] CarMeN, INSERM U1060/INRA U1235/University of Lyon, CRNH Rhône-Alpes, Lyon, France;Géographie-Cité, UMR 8504, CNRS, Paris, France;INSERM U707, University Pierre et Marie Curie-Paris 6, UMR-S 707, Paris, France;Image, Ville, Environnement, CNRS ERL730, University of Strasbourg, Strasbourg, France;Lab-Urba, Urbanism Institute of Paris, University of Paris Est, Créteil, France;UREN, INSERM U557/INRA U1125/CNAM/University of Paris 13/CRNH, Ile-de-France, Bobigny, France;UREN, INSERM U557/INRA U1125/CNAM/University of Paris 13/CRNH, Ile-de-France, Bobigny, France;UREN, INSERM U557/INRA U1125/CNAM/University of Paris 13/CRNH, Ile-de-France, Bobigny, France;Department of Nutrition, Pitié-Salpêtrière Hospital (AP-HP), University Pierre et Marie Curie-Paris 6, CRNH Ile-de-France, Paris, France;

关键词: Built environment;    Urban form;    Geographical Information Systems;    Cluster analysis;    Health-enhancing physical activity;    Walking;    Cycling;    Body Mass Index;   

DOI  :  10.1186/1479-5868-9-59

 received in 2011-09-05, accepted in 2012-05-01,  发布年份 2012

来源: Springer

【 摘 要 】

BackgroundSocio-ecological models suggest that both individual and neighborhood characteristics contribute to facilitating health-enhancing behaviors such as physical activity. Few European studies have explored relationships between local built environmental characteristics, recreational walking and cycling and weight status in adults. The aim of this study was to identify built environmental patterns in a French urban context and to assess associations with recreational walking and cycling behaviors as performed by middle-aged adult residents.MethodsWe used a two-step procedure based on cluster analysis to identify built environmental patterns in the region surrounding Paris, France, using measures derived from Geographic Information Systems databases on green spaces, proximity facilities (destinations) and cycle paths. Individual data were obtained from participants in the SU.VI.MAX cohort; 1,309 participants residing in the Ile-de-France in 2007 were included in this analysis. Associations between built environment patterns, leisure walking/cycling data (h/week) and measured weight status were assessed using multinomial logistic regression with adjustment for individual and neighborhood characteristics.ResultsBased on accessibility to green spaces, proximity facilities and availability of cycle paths, seven built environmental patterns were identified. The geographic distribution of built environmental patterns in the Ile-de-France showed that a pattern characterized by poor spatial accessibility to green spaces and proximity facilities and an absence of cycle paths was found only in neighborhoods in the outer suburbs, whereas patterns characterized by better spatial accessibility to green spaces, proximity facilities and cycle paths were more evenly distributed across the region. Compared to the reference pattern (poor accessibility to green areas and facilities, absence of cycle paths), subjects residing in neighborhoods characterized by high accessibility to green areas and local facilities and by a high density of cycle paths were more likely to walk/cycle, after adjustment for individual and neighborhood sociodemographic characteristics (OR = 2.5 95%CI 1.4-4.6). Body mass index did not differ across patterns.ConclusionsBuilt environmental patterns were associated with walking and cycling among French adults. These analyses may be useful in determining urban and public health policies aimed at promoting a healthy lifestyle.

【 授权许可】

Unknown   
© Charreire et al.; licensee BioMed Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.