Neighbourhood typology based on virtual audit of environmental obesogenic characteristics

T. Feuillet Hélène Charreire 1, 2 C. Roda M. Ben Rebah J. D. Mackenbach S. Compernolle K. Glonti H. Bárdos H. Rutter I. De Bourdeaudhuij M. Mckee J. Brug J. Lakerveld J.-M. Oppert
2 CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle
UP13 - Université Paris 13, INRA - Institut National de la Recherche Agronomique, CNAM - Conservatoire National des Arts et Métiers [CNAM], CRESS (U1153 / UMR_A 1125) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité
Abstract : Virtual audit (using tools such as Google Street View) can help assess multiple characteristics of the physical environment. This exposure assessment can then be associated with health outcomes such as obesity. Strengths of virtual audit include collection of large amount of data, from various geographical contexts, following standard protocols. Using data from a virtual audit of obesity-related features carried out in five urban European regions, the current study aimed to (i) describe this international virtual audit dataset and (ii) identify neighbourhood patterns that can synthesize the complexity of such data and compare patterns across regions. Data were obtained from 4,486 street segments across urban regions in Belgium, France, Hungary, the Netherlands and the UK. We used multiple factor analysis and hierarchical clustering on principal components to build a typology of neighbourhoods and to identify similar/dissimilar neighbourhoods, regardless of region. Four neighbourhood clusters emerged, which differed in terms of food environment, recreational facilities and active mobility features, i.e. the three indicators derived from factor analysis. Clusters were unequally distributed across urban regions. Neighbourhoods mostly characterized by a high level of outdoor recreational facilities were predominantly located in Greater London, whereas neighbourhoods characterized by high urban density and large amounts of food outlets were mostly located in Paris. Neighbourhoods in the Randstad conurbation, Ghent and Budapest appeared to be very similar, characterized by relatively lower residential densities, greener areas and a very low percentage of streets offering food and recreational facility items. These results provide multidimensional constructs of obesogenic characteristics that may help target at-risk neighbourhoods more effectively than isolated features.
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Obesity Reviews: An Official Journal of the International Association for the Study of Obesity, 2016, 17 Suppl 1, pp.19--30. 〈10.1111/obr.12378〉
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Soumis le : dimanche 6 novembre 2016 - 21:33:59
Dernière modification le : mardi 12 décembre 2017 - 01:11:59

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T. Feuillet, Hélène Charreire, C. Roda, M. Ben Rebah, J. D. Mackenbach, et al.. Neighbourhood typology based on virtual audit of environmental obesogenic characteristics. Obesity Reviews: An Official Journal of the International Association for the Study of Obesity, 2016, 17 Suppl 1, pp.19--30. 〈10.1111/obr.12378〉. 〈hal-01393166〉

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