Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability

Detalhes bibliográficos
Autor(a) principal: Silva, Valter [UNIFESP]
Data de Publicação: 2015
Outros Autores: Grande, Antonio Jose, Rech, Cassiano Ricardo, Peccin, Maria Stella [UNIFESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: http://dx.doi.org/10.1260/2040-2295.6.1.41
http://repositorio.unifesp.br/handle/11600/44377
Resumo: This study analyzes the reliability and validity of obesogenic built environments related to physical activity and chronic noncommunicable diseases through Google Maps in a heterogeneous urban area (i.e., residential and commercial, very poor and very rich) in Sao Paulo (SP), Brazil. There are no important differences when comparing virtual measures with street audit. Based on Kappa statistic, respectively for validity and reliability, 78% and 80% of outcomes were classified as nearly perfect agreement or substantial agreement. Virtual measures of geoprocessing via Google Maps provided high validity and reliability for assessing built environments.
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spelling Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliabilityobesitymotor activityenvironment and public healthchronic diseasegeographic information systemsThis study analyzes the reliability and validity of obesogenic built environments related to physical activity and chronic noncommunicable diseases through Google Maps in a heterogeneous urban area (i.e., residential and commercial, very poor and very rich) in Sao Paulo (SP), Brazil. There are no important differences when comparing virtual measures with street audit. Based on Kappa statistic, respectively for validity and reliability, 78% and 80% of outcomes were classified as nearly perfect agreement or substantial agreement. Virtual measures of geoprocessing via Google Maps provided high validity and reliability for assessing built environments.Univ Fed Sao Paulo, BR-04023900 Sao Paulo, SP, BrazilUniv Extremo Sul Catarinense, Criciuma, SC, BrazilUniv Fed Santa Catarina, BR-88040900 Florianopolis, SC, BrazilUniv Fed Sao Paulo, BR-04023900 Sao Paulo, SP, BrazilWeb of ScienceCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Multi-science Publ Co LtdUniversidade Federal de São Paulo (UNIFESP)Univ Extremo Sul CatarinenseUniversidade Federal de Santa Catarina (UFSC)Silva, Valter [UNIFESP]Grande, Antonio JoseRech, Cassiano RicardoPeccin, Maria Stella [UNIFESP]2018-06-15T18:02:17Z2018-06-15T18:02:17Z2015-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion41-54http://dx.doi.org/10.1260/2040-2295.6.1.41Journal Of Healthcare Engineering. Brentwood: Multi-science Publ Co Ltd, v. 6, n. 1, p. 41-54, 2015.10.1260/2040-2295.6.1.412040-2295http://repositorio.unifesp.br/handle/11600/44377WOS:000353140700003engJournal Of Healthcare Engineeringinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2024-05-02T11:58:49Zoai:repositorio.unifesp.br/:11600/44377Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-05-02T11:58:49Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.none.fl_str_mv Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability
title Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability
spellingShingle Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability
Silva, Valter [UNIFESP]
obesity
motor activity
environment and public health
chronic disease
geographic information systems
title_short Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability
title_full Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability
title_fullStr Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability
title_full_unstemmed Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability
title_sort Geoprocessing via Google Maps for Assessing Obesogenic Built Environments Related to Physical Activity and Chronic Noncommunicable Diseases: Validity and Reliability
author Silva, Valter [UNIFESP]
author_facet Silva, Valter [UNIFESP]
Grande, Antonio Jose
Rech, Cassiano Ricardo
Peccin, Maria Stella [UNIFESP]
author_role author
author2 Grande, Antonio Jose
Rech, Cassiano Ricardo
Peccin, Maria Stella [UNIFESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de São Paulo (UNIFESP)
Univ Extremo Sul Catarinense
Universidade Federal de Santa Catarina (UFSC)
dc.contributor.author.fl_str_mv Silva, Valter [UNIFESP]
Grande, Antonio Jose
Rech, Cassiano Ricardo
Peccin, Maria Stella [UNIFESP]
dc.subject.por.fl_str_mv obesity
motor activity
environment and public health
chronic disease
geographic information systems
topic obesity
motor activity
environment and public health
chronic disease
geographic information systems
description This study analyzes the reliability and validity of obesogenic built environments related to physical activity and chronic noncommunicable diseases through Google Maps in a heterogeneous urban area (i.e., residential and commercial, very poor and very rich) in Sao Paulo (SP), Brazil. There are no important differences when comparing virtual measures with street audit. Based on Kappa statistic, respectively for validity and reliability, 78% and 80% of outcomes were classified as nearly perfect agreement or substantial agreement. Virtual measures of geoprocessing via Google Maps provided high validity and reliability for assessing built environments.
publishDate 2015
dc.date.none.fl_str_mv 2015-03-01
2018-06-15T18:02:17Z
2018-06-15T18:02:17Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1260/2040-2295.6.1.41
Journal Of Healthcare Engineering. Brentwood: Multi-science Publ Co Ltd, v. 6, n. 1, p. 41-54, 2015.
10.1260/2040-2295.6.1.41
2040-2295
http://repositorio.unifesp.br/handle/11600/44377
WOS:000353140700003
url http://dx.doi.org/10.1260/2040-2295.6.1.41
http://repositorio.unifesp.br/handle/11600/44377
identifier_str_mv Journal Of Healthcare Engineering. Brentwood: Multi-science Publ Co Ltd, v. 6, n. 1, p. 41-54, 2015.
10.1260/2040-2295.6.1.41
2040-2295
WOS:000353140700003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal Of Healthcare Engineering
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 41-54
dc.publisher.none.fl_str_mv Multi-science Publ Co Ltd
publisher.none.fl_str_mv Multi-science Publ Co Ltd
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
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