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Children and adolescents spend a large part of their time at school, which is why the quality of school meals is of great importance. In this study, the extent to which intakes of various food groups among children and adolescents were in line with the recommendations of the Optimised Mixed Diet (OMD) were examined according to frequency of utilisation of school meals, based on data from the second Eating study as a KiGGS Module (EsKiMo II). Among 6- to 11-year-old boys, more frequent (≥ three times weekly) utilisation of school meals is associated with more frequently meeting or exceeding the OMD recommendation for fruit consumption. The same is true among 12- to 17-year-old girls for eggs and fats/oils used for cooking or spreads, and among 12- to 17-year-old boys for fish. The results from EsKiMo II show that regular uptake of school meals is associated with differences in intakes of various food groups with respect to the OMD recommendations.

In addition to the Robert Koch Institute’s health surveys, analyses of secondary data are essential to successfully developing a regular and comprehensive description of the progression of diabetes as part of the Robert Koch Institute’s diabetes surveillance. Mainly, this is due to the large sample size and the fact that secondary data are routinely collected, which allows for highly stratified analyses in short time intervals. The fragmented availability of data means that various sources of secondary data are required in order to provide data for the indicators in the four fields of action for diabetes surveillance. Thus, a milestone in the project was to check the suitability of different data sources for their usability and to carry out analyses. Against this backdrop, co-operation projects were specifically funded in the context of diabetes surveillance. This article presents the results that were achieved in co-operation projects between 2016 and 2018 that focused on a range of topics: from evaluating the usability of secondary data to statistically modelling the development of epidemiological indices. Moreover, based on the data of the around 70 million people covered by statutory health insurance, an initial estimate was calculated for the documented prevalence of type 2 diabetes for the years 2010 and 2011. To comparably integrate these prevalences over the years in diabetes surveillance, a reference definition was established with external expertise.