Validation of retail food outlet data from a Danish government inspection database.

BACKGROUND: Globally, unhealthy diet is one of the leading global risks to health, thus it is central to consider aspects of the food environment that are modifiable and may enable healthy eating. Food retail data can be used to present and facilitate analyses of food environments that in turn may direct strategies towards improving dietary patterns among populations. Though food retail data are available in many countries, their completeness and accuracy differ. METHODS: We applied a systematically name-based procedure combined with a manual procedure on Danish administrative food retailer data (i.e. the Smiley register) to identify, locate and classify food outlets. Food outlets were classified into the most commonly used classifications (i.e. fast food, restaurants, convenience stores, supermarkets, fruit and vegetable stores and miscellaneous) each divided into three commonly used definitions; narrow, moderate and broad. Classifications were based on branch code, name, and/or information on the internal and external appearance of the food outlet. From ground-truthing we validated the information in the register for its sensitivity and positive predictive value. RESULTS: In 361 randomly selected areas of the Capital region of Denmark we identified a total of 1887 food outlets compared with 1861 identified in the register. We obtained a sensitivity of 0.75 and a positive predictive value of 0.76. Across classifications, the positive predictive values varied with highest values for the moderate and broad definitions of fast food, convenience stores and supermarkets (ranging from 0.89 to 0.97). CONCLUSION: Information from the Smiley Register is considered to be representative to the Danish food environment and may be used for future research.

Accessibility of fast food outlets is associated with fast food intake. A study in the Capital Region of Denmark.

Literature suggests that people living in areas with a wealth of unhealthy fast food options may show higher levels of fast food intake. Multilevel logistic regression analyses were applied to examine the association between GIS-located fast food outlets (FFOs) and self-reported fast food intake among adults (+ 16 years) in the Capital Region of Denmark (N = 48,305). Accessibility of FFOs was measured both as proximity (distance to nearest FFO) and density (number of FFOs within a 1km network buffer around home). Odds of fast food intake ≥ 1/week increased significantly with increasing FFO density and decreased significantly with increasing distance to the nearest FFO for distances ≤ 4km. For long distances (>4km), odds increased with increasing distance, although this applied only for car owners. Results suggest that Danish health promotion strategies need to consider the contribution of the built environment to unhealthy eating.

Temporal changes in sugar-sweetened soft drink intake and variation across municipalities in the Capital Region of Denmark.

We aimed to examine the changes in sugar-sweetened soft drink intake across the Capital Region of Denmark from 2007 to 2013 and to examine the association between intake and neighbourhood socioeconomic status. The study included data from three health surveys in 2007 (n = 30,426), 2010 (n = 42,218) and 2013 (n = 34,330) in the Capital Region of Denmark. Frequency of soft drink intake was derived from questionnaires among residents aged 25-79 years and linked with information from central registers. Municipality social groups (MSG) 1-4 of decreasing affluence were defined as a composite measure. Logistic regression analyses were conducted for individuals with an appropriate soft drink intake (< once/week) and for individuals with a frequent soft drink intake (≥ 3 times/week). The proportion of individuals reporting an appropriate soft drink intake increased by 71% during 2007-2013 (p < 0.0001). A corresponding decrease was found in the proportion of individuals reporting a frequent soft drink intake. Compared to MSG 1, odds of an appropriate soft drink intake were significantly lower in MSG 3-4: OR = 0.87 (95%CI 0.83-0.91) and OR = 0.89 (95%CI 0.85-0.92), respectively. Compared to MSG 1, odds of a frequent soft drink intake were significantly higher in MSG 3-4: OR = 1.24 (95%CI 1.63-1.31) and 1.17 (95%CI 1.10-1.25), respectively. A significant interaction between MSG and educational level was found among individuals reporting a frequent soft drink intake (p = 0.02). The results show an encouraging reduction in frequency of soft drink intake among capital residents in the period of 2007-2013. A social gradient was observed in soft drink intake across MSG.