The healthiness of Australian food outlets available through online delivery platforms, by level of socioeconomic disadvantage and remoteness

Abstract

Online food delivery platforms are an emerging but poorly understood aspect of food retail environments. We collected data via web scraping methods from the two leading online food delivery platforms in Victoria, Australia, identifying 11,154 food outlets from Menulog, and 12,939 from Uber Eats (with 21,733 unique outlets available across both platforms). Outlets were classified according to their healthiness using a tool developed with Australian dietitians and public health nutritionists, and assigned a food environment score. Area level (suburb/neighbourhood) socioeconomic disadvantage was determined using the Socio-Economic Indexes for Areas Index of Relative Socio-economic Disadvantage, and relative remoteness was determined using both the Accessibility/Remoteness Index of Australia and the Modified Monash Model. Across both food delivery platforms, approximately 15% of food outlets were classified as “unhealthy”, 82% were classified as “less healthy”, and 3% were classified as “healthy”. More food outlets were available in areas of socioeconomic advantage, and in metropolitan areas. Food environment scores indicated that unhealthy outlets were significantly more available in areas with higher socioeconomic disadvantage and greater relative remoteness. Disparities in the healthiness of food outlets available through online food delivery platforms may have a negative influence on the purchasing and dietary behaviours of residents in these areas, thereby widening diet related health inequalities. Further research is required to understand the potential influence of online food delivery platforms on inequities in population diets and health.