author_facet Roda, C.
Charreire, H.
Feuillet, T.
Mackenbach, J. D.
Compernolle, S.
Glonti, K.
Ben Rebah, M.
Bárdos, H.
Rutter, H.
McKee, M.
De Bourdeaudhuij, I.
Brug, J.
Lakerveld, J.
Oppert, J.‐M.
Roda, C.
Charreire, H.
Feuillet, T.
Mackenbach, J. D.
Compernolle, S.
Glonti, K.
Ben Rebah, M.
Bárdos, H.
Rutter, H.
McKee, M.
De Bourdeaudhuij, I.
Brug, J.
Lakerveld, J.
Oppert, J.‐M.
author Roda, C.
Charreire, H.
Feuillet, T.
Mackenbach, J. D.
Compernolle, S.
Glonti, K.
Ben Rebah, M.
Bárdos, H.
Rutter, H.
McKee, M.
De Bourdeaudhuij, I.
Brug, J.
Lakerveld, J.
Oppert, J.‐M.
spellingShingle Roda, C.
Charreire, H.
Feuillet, T.
Mackenbach, J. D.
Compernolle, S.
Glonti, K.
Ben Rebah, M.
Bárdos, H.
Rutter, H.
McKee, M.
De Bourdeaudhuij, I.
Brug, J.
Lakerveld, J.
Oppert, J.‐M.
Obesity Reviews
Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
Public Health, Environmental and Occupational Health
Endocrinology, Diabetes and Metabolism
author_sort roda, c.
spelling Roda, C. Charreire, H. Feuillet, T. Mackenbach, J. D. Compernolle, S. Glonti, K. Ben Rebah, M. Bárdos, H. Rutter, H. McKee, M. De Bourdeaudhuij, I. Brug, J. Lakerveld, J. Oppert, J.‐M. 1467-7881 1467-789X Wiley Public Health, Environmental and Occupational Health Endocrinology, Diabetes and Metabolism http://dx.doi.org/10.1111/obr.12376 <jats:title>Summary</jats:title><jats:p>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 (<jats:italic>n</jats:italic> = 6037 participants from 60 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 &lt; 82%, kappa &lt; 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.</jats:p> Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods Obesity Reviews
doi_str_mv 10.1111/obr.12376
facet_avail Online
finc_class_facet Medizin
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExMS9vYnIuMTIzNzY
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExMS9vYnIuMTIzNzY
institution DE-Gla1
DE-Zi4
DE-15
DE-Pl11
DE-Rs1
DE-105
DE-14
DE-Ch1
DE-L229
DE-D275
DE-Bn3
DE-Brt1
DE-D161
imprint Wiley, 2016
imprint_str_mv Wiley, 2016
issn 1467-7881
1467-789X
issn_str_mv 1467-7881
1467-789X
language English
mega_collection Wiley (CrossRef)
match_str roda2016mismatchbetweenperceivedandobjectivelymeasuredenvironmentalobesogenicfeaturesineuropeanneighbourhoods
publishDateSort 2016
publisher Wiley
recordtype ai
record_format ai
series Obesity Reviews
source_id 49
title Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_unstemmed Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_full Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_fullStr Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_full_unstemmed Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_short Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_sort mismatch between perceived and objectively measured environmental obesogenic features in european neighbourhoods
topic Public Health, Environmental and Occupational Health
Endocrinology, Diabetes and Metabolism
url http://dx.doi.org/10.1111/obr.12376
publishDate 2016
physical 31-41
description <jats:title>Summary</jats:title><jats:p>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 (<jats:italic>n</jats:italic> = 6037 participants from 60 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 &lt; 82%, kappa &lt; 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.</jats:p>
container_issue S1
container_start_page 31
container_title Obesity Reviews
container_volume 17
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792342806981771265
geogr_code not assigned
last_indexed 2024-03-01T16:41:24.454Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Mismatch+between+perceived+and+objectively+measured+environmental+obesogenic+features+in+European+neighbourhoods&rft.date=2016-01-01&genre=article&issn=1467-789X&volume=17&issue=S1&spage=31&epage=41&pages=31-41&jtitle=Obesity+Reviews&atitle=Mismatch+between+perceived+and+objectively+measured+environmental+obesogenic+features+in+European+neighbourhoods&aulast=Oppert&aufirst=J.%E2%80%90M.&rft_id=info%3Adoi%2F10.1111%2Fobr.12376&rft.language%5B0%5D=eng
SOLR
_version_ 1792342806981771265
author Roda, C., Charreire, H., Feuillet, T., Mackenbach, J. D., Compernolle, S., Glonti, K., Ben Rebah, M., Bárdos, H., Rutter, H., McKee, M., De Bourdeaudhuij, I., Brug, J., Lakerveld, J., Oppert, J.‐M.
author_facet Roda, C., Charreire, H., Feuillet, T., Mackenbach, J. D., Compernolle, S., Glonti, K., Ben Rebah, M., Bárdos, H., Rutter, H., McKee, M., De Bourdeaudhuij, I., Brug, J., Lakerveld, J., Oppert, J.‐M., Roda, C., Charreire, H., Feuillet, T., Mackenbach, J. D., Compernolle, S., Glonti, K., Ben Rebah, M., Bárdos, H., Rutter, H., McKee, M., De Bourdeaudhuij, I., Brug, J., Lakerveld, J., Oppert, J.‐M.
author_sort roda, c.
container_issue S1
container_start_page 31
container_title Obesity Reviews
container_volume 17
description <jats:title>Summary</jats:title><jats:p>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 (<jats:italic>n</jats:italic> = 6037 participants from 60 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 &lt; 82%, kappa &lt; 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.</jats:p>
doi_str_mv 10.1111/obr.12376
facet_avail Online
finc_class_facet Medizin
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTExMS9vYnIuMTIzNzY
imprint Wiley, 2016
imprint_str_mv Wiley, 2016
institution DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-D161
issn 1467-7881, 1467-789X
issn_str_mv 1467-7881, 1467-789X
language English
last_indexed 2024-03-01T16:41:24.454Z
match_str roda2016mismatchbetweenperceivedandobjectivelymeasuredenvironmentalobesogenicfeaturesineuropeanneighbourhoods
mega_collection Wiley (CrossRef)
physical 31-41
publishDate 2016
publishDateSort 2016
publisher Wiley
record_format ai
recordtype ai
series Obesity Reviews
source_id 49
spelling Roda, C. Charreire, H. Feuillet, T. Mackenbach, J. D. Compernolle, S. Glonti, K. Ben Rebah, M. Bárdos, H. Rutter, H. McKee, M. De Bourdeaudhuij, I. Brug, J. Lakerveld, J. Oppert, J.‐M. 1467-7881 1467-789X Wiley Public Health, Environmental and Occupational Health Endocrinology, Diabetes and Metabolism http://dx.doi.org/10.1111/obr.12376 <jats:title>Summary</jats:title><jats:p>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 (<jats:italic>n</jats:italic> = 6037 participants from 60 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 &lt; 82%, kappa &lt; 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.</jats:p> Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods Obesity Reviews
spellingShingle Roda, C., Charreire, H., Feuillet, T., Mackenbach, J. D., Compernolle, S., Glonti, K., Ben Rebah, M., Bárdos, H., Rutter, H., McKee, M., De Bourdeaudhuij, I., Brug, J., Lakerveld, J., Oppert, J.‐M., Obesity Reviews, Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism
title Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_full Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_fullStr Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_full_unstemmed Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_short Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
title_sort mismatch between perceived and objectively measured environmental obesogenic features in european neighbourhoods
title_unstemmed Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods
topic Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism
url http://dx.doi.org/10.1111/obr.12376