Abstract

To explore the associations of absolute and relative measures of exposure to food retailers with dietary patterns, using simpler and more complex measures. Cross-sectional survey. Urban regions in Belgium, France, Hungary, the Netherlands and the UK.ParticipantsEuropean adults (n 4942). Supermarkets and local food shops were classified as 'food retailers providing healthier options'; fast-food/takeaway restaurants, cafés/bars and convenience/liquor stores as 'food retailers providing less healthy options'. Simpler exposure measures used were density of healthy and density of less healthy food retailers. More complex exposure measures used were: spatial access (combination of density and proximity) to healthy and less healthy food retailers; density of healthier food retailers relative to all food retailers; and a ratio of spatial access scores to healthier and less healthy food retailers. Outcome measures were a healthy or less healthy dietary pattern derived from a principal component analysis (based on consumption of fruits, vegetables, fish, fast foods, sweets and sweetened beverages). Only the highest density of less healthy food retailers was significantly associated with the less healthy dietary pattern (β = -129·6; 95 % CI -224·3, -34·8). None of the other absolute density measures nor any of the relative measures of exposures were associated with dietary patterns. More complex measures of exposure to food retailers did not produce stronger associations with dietary patterns. We had some indication that absolute and relative measures of exposure assess different aspects of the food environment. However, given the lack of significant findings, this needs to be further explored.

Highlights

  • IQR, interquartile range; mRFEI, modified Retail Food Environment Index. *Density represents the count of food retailers divided by the neighbourhood area in square kilometres. †mRFEI represents the proportion of healthier food retailers in relation to the total number of food retailers in the neighbourhood. ‡Spatial access score represents an inverse function of the sum of the calculated distances from individuals’ home address to each healthier and less healthy food outlet in the residential neighbourhood. §Ratio for the spatial access scores represents spatial access scores to healthier food retailers divided by healthier plus less healthy food retailers. ║Scores for healthier and less healthy dietary patterns were multiplied by 1000

  • As our results indicate, at best, that the choice of exposure measure has an impact on the findings, the reasons for the adjustment for the broader food environment using relative measures should be made explicit and discussed

  • We examined different measures of exposure to explore the broader residential food environment and its association with dietary patterns

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Summary

Methods

Study design, sampling and participants The current study was part of the European SPOTLIGHT project[27]. We randomly sampled twelve neighbourhoods in each urban region, based on a combination of residential density and socioeconomic status (SES) data at the neighbourhood level. This resulted in four pre-specified neighbourhood types: low SES/low residential density, low SES/high residential density, high SES/low residential density and high SES/ high residential density. Three neighbourhoods of each type were randomly sampled (i.e. twelve per country, sixty in total). Neighbourhoods were defined as the smallest-scale local administrative boundaries for all countries except for Hungary. The administrative boundaries for Budapest region were much larger and more heterogeneous compared with the other regions under study; to make neighbourhoods comparable across countries, we defined one square kilometre (1 km2)

Results
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