Validation of desk-based audits using Google Street View

Child Cohort Studies Environment Design Humans Pilot Projects Residence Characteristics Search Engine
Built environment Neighbourhood Pediatric obesity Urban design Walkability

Journal

International journal of health geographics
ISSN: 1476-072X
Titre abrégé: Int J Health Geogr
Pays: England
ID NLM: 101152198

Informations de publication

Date de publication:
26 03 2022
Historique:
received: 30 12 2021
accepted: 15 03 2022
entrez: 29 3 2022
pubmed: 30 3 2022
medline: 5 4 2022
Statut: epublish

Résumé

The suitability of geospatial services for auditing neighbourhood features relevant to pediatric obesity remains largely unexplored. Our objectives were to (i) establish the measurement properties of a desk-based audit instrument that uses Google Street View On-site audits of 55 street- and neighbourhood-level features were completed in 2008 in 512 neighbourhoods from the QUALITY cohort study. In 2015, both repeat on-site and desk-based audits were completed in a random sample of 30 of these neighbourhoods. Agreement between both methods was excellent for almost all street segment items (range 91.9-99.7%), except for road type (81.0%), ads/commercial billboards (81.7%), road-sidewalk buffer zone (76.1%), and road-bicycle path buffer zone (53.3%). It was fair to poor for perceived quality, safety and aesthetics items (range 59.9-87.6%), as well as for general impression items (range 40.0-86.7%). The desk-based method over-detected commercial billboards and road-sidewalk buffer zone, and generally rated neighbourhoods as less safe, requiring more effort to get around, and having less aesthetic appeal. Change detected over the 8-year period was generally similar for both methods, except that the desk-based method appeared to amplify the increase in the number of segments with signs of social disorder. The QUALITY-NHOOD tool is deemed adequate for evaluating and monitoring changes in pedestrian- and traffic-related features applicable to pediatric populations. Applications for monitoring the obesogenic nature of neighbourhoods appear warranted.

Sections du résumé

BACKGROUND
The suitability of geospatial services for auditing neighbourhood features relevant to pediatric obesity remains largely unexplored. Our objectives were to (i) establish the measurement properties of a desk-based audit instrument that uses Google Street View
METHODS
On-site audits of 55 street- and neighbourhood-level features were completed in 2008 in 512 neighbourhoods from the QUALITY cohort study. In 2015, both repeat on-site and desk-based audits were completed in a random sample of 30 of these neighbourhoods.
RESULTS
Agreement between both methods was excellent for almost all street segment items (range 91.9-99.7%), except for road type (81.0%), ads/commercial billboards (81.7%), road-sidewalk buffer zone (76.1%), and road-bicycle path buffer zone (53.3%). It was fair to poor for perceived quality, safety and aesthetics items (range 59.9-87.6%), as well as for general impression items (range 40.0-86.7%). The desk-based method over-detected commercial billboards and road-sidewalk buffer zone, and generally rated neighbourhoods as less safe, requiring more effort to get around, and having less aesthetic appeal. Change detected over the 8-year period was generally similar for both methods, except that the desk-based method appeared to amplify the increase in the number of segments with signs of social disorder.
CONCLUSIONS
The QUALITY-NHOOD tool is deemed adequate for evaluating and monitoring changes in pedestrian- and traffic-related features applicable to pediatric populations. Applications for monitoring the obesogenic nature of neighbourhoods appear warranted.

Identifiants

DOI: 10.1186/s12942-022-00301-8 PMID: 35346220 PMC: PMC8961916
pubmed: 35346220
doi: 10.1186/s12942-022-00301-8
pii: 10.1186/s12942-022-00301-8
pmc: PMC8961916
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2

Subventions

Organisme : CIHR
ID : MOP-119512
Pays : Canada
Organisme : CIHR
ID : MOP-97853
Pays : Canada
Organisme : CIHR
ID : OHF-69442
Pays : Canada
Organisme : CIHR
ID : NMD-94067
Pays : Canada

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2022. The Author(s).

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Auteurs

Jean-Baptiste Roberge (JB)

Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC), H3T 1C5, Canada.
Faculty of Medicine, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC), H3T 1J4, Canada.
Epidemiology and Biostatistics Unit, INRS Institut Armand-Frappier, 531 Boulevard Des Prairies, Laval, QC), H7V 1B7, Canada.

Gisèle Contreras (G)

Epidemiology and Biostatistics Unit, INRS Institut Armand-Frappier, 531 Boulevard Des Prairies, Laval, QC), H7V 1B7, Canada.
Institut de La Statistique du Québec, 1200 Avenue McGill college 5e ÉtageH3B 4J8, Montreal, QC), Canada.

Lisa Kakinami (L)

Department of Mathematics, Concordia University and PERFORM Centre, 7200 Rue Sherbrooke Ouest, Montreal, QC), H4B 1R6, Canada.

Andraea Van Hulst (A)

Ingram School of Nursing, McGill University, 680 Rue Sherbrooke Ouest #1800, Montreal, QC), H3A 2M7, Canada.

Mélanie Henderson (M)

Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC), H3T 1C5, Canada.
Department of Pediatrics, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC), H3T 1J4, Canada.
Département de médecine sociale et préventive, École de santé publique de l'Université de Montréal, 5858 Côte-des-Neiges Rd., Montréal, Canada.

Tracie A Barnett (TA)

Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC), H3T 1C5, Canada. tracie.barnett@mcgill.ca.
Epidemiology and Biostatistics Unit, INRS Institut Armand-Frappier, 531 Boulevard Des Prairies, Laval, QC), H7V 1B7, Canada. tracie.barnett@mcgill.ca.
Department of Family Medicine, McGill University, 5858 Côte-des-Neiges Rd., Montreal, QC), H3S 1Z1, Canada. tracie.barnett@mcgill.ca.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Enfant › Validation of desk-based audits using Google...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Validation of desk-based audits using Google...
questionsmedicales.fr › Environnement et santé publique › Environnement › Conception de l'environnement › Validation of desk-based audits using Google...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Validation of desk-based audits using Google...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Projets pilotes › Validation of desk-based audits using Google...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Démographie › Caractéristiques de l'habitat › Validation of desk-based audits using Google...
questionsmedicales.fr › Sciences de l'information › Mémorisation et recherche des informations › Moteur de recherche › Validation of desk-based audits using Google...