A lack of physical activity and overconsumption of energy dense food is associated with overweight and obesity. The neighbourhood environment may stimulate or hinder the development and/or maintenance of a healthy lifestyle. To improve research on the obesogenicity of neighbourhood environments, reliable, valid and convenient assessment methods of potential obesogenic characteristics of neighbourhood environments are needed. In a
study just published in pre-pub in the International Journal of Health Geographics -as part of the
Spotlight project- we examined the reliability and validity of the SPOTLIGHT-Virtual Audit Tool (S- VAT), which uses remote sensing techniques (Street View feature in Google Earth) for desk- based assessment of environmental obesogenicity.
A total of 128 street segments in four Dutch urban neighbourhoods – heterogeneous in socio- economic status and residential density – were assessed using the S-VAT. Environmental characteristics were categorised as walking related items, cycling related items, public transport, aesthetics, land use-mix, grocery stores, food outlets and physical activity facilities. To assess concordance of inter- and intra-observer reliability of the Street View feature in Google Earth, and validity scores with real life audits, percentage agreement and Cohen's Kappa (k) were calculated.
The results suggest that the S-VAT is a reliable and valid remote sensing tool to assess potential obesogenic environmental characteristics.