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PubMed Publications| Keyword search (4,163 papers available) |  |
"Pediatric obesity" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Psychosocial Outcomes Reported in Randomized Behavioral Intervention Trials for Children and Adolescents with Overweight and Obesity: A Scoping Review | Sacco S; Booij L; Kwok C; Carrière K; Hall K; Baluyot TC; Forouhar V; Côté M; Pietrasik M; Jebeile H; Ball GDC; Johnston BC; Alberga AS; | 41601261 HKAP |
| 2 | Comparing the impact of in-person vs. virtual 10-week family-based childhood obesity management program on anthropometric, cardiometabolic, and mental health outcomes | Heidl AJ; Sun D; Faustini C; Gierc M; Bains A; Cohen TR; | 41332896 MATHSTATS |
| 3 | Validation of desk-based audits using Google Street View® to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort | Roberge JB; Contreras G; Kakinami L; Van Hulst A; Henderson M; Barnett TA; | 35346220 PERFORM |
| Title: | Validation of desk-based audits using Google Street View® to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort | ||||
| Authors: | Roberge JB, Contreras G, Kakinami L, Van Hulst A, Henderson M, Barnett TA | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/35346220/ | ||||
| DOI: | 10.1186/s12942-022-00301-8 | ||||
| Publication: | International journal of health geographics | ||||
| Keywords: | Built environment; Neighbourhood; Pediatric obesity; Urban design; Walkability; | ||||
| PMID: | 35346220 | Category: | Date Added: | 2022-03-29 | |
| Dept Affiliation: |
PERFORM
1 Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC), H3T 1C5, Canada. 2 Faculty of Medicine, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC), H3T 1J4, Canada. 3 Epidemiology and Biostatistics Unit, INRS Institut Armand-Frappier, 531 Boulevard Des Prairies, Laval, QC), H7V 1B7, Canada. 4 Institut de La Statistique du Québec, 1200 Avenue McGill college 5e ÉtageH3B 4J8, Montreal, QC), Canada. 5 Department of Mathematics, Concordia University and PERFORM Centre, 7200 Rue Sherbrooke Ouest, Montreal, QC), H4B 1R6, Canada. 6 Ingram School of Nursing, McGill University, 680 Rue Sherbrooke Ouest #1800, Montreal, QC), H3A 2M7, Canada. 7 Department of Pediatrics, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC), H3T 1J4, Canada. 8 Département de médecine sociale et préventive, École de santé publique de l'Université de Montréal, 5858 Côte-des-Neiges Rd., Montréal, Canada. 9 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. 10 Epidemiology and Biostatistics Unit, INRS Institut Armand-Frappier, 531 Boulevard Des Prairies, Laval, QC), H7V 1B7, Canada. tracie.barnett@mcgill.ca. 11 Department of Family Medicine, McGill University, 5858 Côte-des-Neiges Rd., Montreal, QC), H3S 1Z1, Canada. tracie.barnett@mcgill.ca. |
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Description: |
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 ® to assess street- and neighbourhood-level features relevant to pediatric obesity (QUALITY-NHOOD tool, the test method) and (ii) comment on its capacity to detect changes in the built environment over an 8-year period. In order to do so, we compared this tool with an on-site auditing instrument (the reference method). 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. |
