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

Valter Silva · Antônio José Grande · Cassiano Ricardo Rech · Maria Stella Peccin

26 citations0/0 files storedJournal of Healthcare Engineering

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Urban Transport and Accessibility Physical Activity and Health Urban Green Space and Health

Abstract

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 São 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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References

1977The Measurement of Observer Agreement for Categorical Data 1993Bias, prevalence and kappa 2009The built environment and obesity: A systematic review of the epidemiologic evidence 2010Using Google Street View to Audit Neighborhood Environments 2010Interventions to promote cycling: systematic review 2010Using Google Earth to conduct a neighborhood audit: Reliability of a virtual audit instrument 2012Using Google Street View to Audit the Built Environment: Inter-rater Reliability Results 2010Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?

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2017Built environment and violent crime: An environmental audit approach using Google Street View 2022Mapping food and physical activity environments in low- and middle-income countries: A systematised review 2020Spatial predictive properties of built environment characteristics assessed by drop-and-spin virtual neighborhood auditing

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