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001-es BibID:BIBFORM105494
035-os BibID:(WOS)000371261100003 (Scopus)84958548935
Első szerző:Feuillet, Thierry
Cím:Neighbourhood typology based on virtual audit of environmental obesogenic characteristics / T. Feuillet, H. Charreire, 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
Dátum:2016
ISSN:1467-7881 1467-789X
Megjegyzések:SummaryVirtual audit (using tools such as Google Street View) can help assess multiple char-acteristics of the physical environment. This exposure assessment can then be asso-ciated with health outcomes such as obesity. Strengths of virtual audit includecollection of large amount of data, from various geographical contexts, followingstandard protocols. Using data from a virtual audit of obesity-related features car-ried out in five urban European regions, the current study aimed to (i) describe thisinternational virtual audit dataset and (ii) identify neighbourhood patterns that cansynthesize the complexity of such data and compare patterns across regions. Datawere obtained from 4,486 street segments across urban regions in Belgium, France,Hungary, the Netherlands and the UK. We used multiple factor analysis and hierar-chical clustering on principal components to build a typology of neighbourhoodsand to identify similar/dissimilar neighbourhoods, regardless of region. Fourneighbourhood clusters emerged, which differed in terms of food environment,recreational facilities and active mobility features, i.e. the three indicators derivedfrom factor analysis. Clusters were unequally distributed across urban regions.Neighbourhoods mostly characterized by a high level of outdoor recreational facil-ities were predominantly located in Greater London, whereas neighbourhoodscharacterized by high urban density and large amounts of food outlets were mostlylocated in Paris. Neighbourhoods in the Randstad conurbation, Ghent andBudapest appeared to be very similar, characterized by relatively lower residentialdensities, greener areas and a very low percentage of streets offering food andrecreational facility items. These results provide multidimensional constructs ofobesogenic characteristics that may help target at-risk neighbourhoods moreeffectively than isolated features.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Cluster analysis
SPOTLIGHT
obesogenic environment
virtual audit
Megjelenés:Obesity Reviews. - 17 : S1 (2016), p. 19-30. -
További szerzők:Charreire, Hélène Roda, Célina Ben Rebah, M. Mackenbach, Joreintje Dingena Compernolle, Sofie Glonti, Ketevan Bárdos Helga (1969-) (megelőző orvostan és népegészségtan szakorvos) Rutter, Harry De Bourdeaudhuij, Ilse McKee, Martin Brug, Johannes Lakerveld, Jeroen Oppert, Jean-Michel
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001-es BibID:BIBFORM105497
035-os BibID:(Scopus)84958545636 (WOS)000371261100004
Első szerző:Roda, Célina
Cím:Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods / C. Roda, H. Charreire, T. Feuillet, J. D. Mackenbach, S. Compernolle, K. Glonti, M. Ben Rebah, H. Bárdos, H. Rutter, M. McKee, I. De Bourdeaudhuij, J. Brug, J. Lakerveld, J.-M. Oppert
Dátum:2016
ISSN:1467-7881 1467-789X
Megjegyzések:Summary: Findings from research on the association between the built environment and obesity remain equivocal but may be partly explained by differences in approaches used to characterize the built environment. Findings obtained using subjective measures may differ substantially from those measured objectively. We investigated the agreement between perceived and objectively measured obesogenic environmental features to assess (1) the extent of agreement between individual perceptions and observable characteristics of the environment and (2)the agreement between aggregated perceptions and observable characteristics, and whether this varied by type of characteristic, region or neighbourhood. Cross-sectional data from the SPOTLIGHT project (n= 6037 participants from60 neighbourhoods in five European urban regions) were used. Residents' perceptions were self-reported, and objectively measured environmental features were obtained by a virtual audit using Google Street View. Percent agreement and Kappa statistics were calculated. The mismatch was quantified at neighbourhood level by a distance metric derived from a factor map. The extent to which the mismatch metric varied by region and neighbourhood was examined using linear regression models. Overall, agreement was moderate (agreement<82%, kappa<0.3) and varied by obesogenic environmental feature, region and neighbourhood. Highest agreement was found for food outlets and outdoor recreational facilities, and lowest agreement was obtained for aesthetics. In general, a better match was observed in high-residential density neighbourhoods characterized by a high density of food outlets and recreational facilities. Future studies should combine perceived and objectively measured built environment qualities to better understand the potential impact of the built environment on health, particularly in low residential density neighbourhoods.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Built environment
perception
SPOTLIGHT
virtual audit
Megjelenés:Obesity Reviews. - 17 : S1 (2016), p. 31-41. -
További szerzők:Charreire, Hélène Feuillet, Thierry Mackenbach, Joreintje Dingena Compernolle, Sofie Glonti, Ketevan Ben Rebah, M. Bárdos Helga (1969-) (megelőző orvostan és népegészségtan szakorvos) Rutter, Harry McKee, Martin De Bourdeaudhuij, Ilse Brug, Johannes Lakerveld, Jeroen Oppert, Jean-Michel
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
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