School entrance examinations as a small-scale data source for health monitoring of children using obesity as an example.

Charlotte Kühnelt, Anne Starker, Gianni Varnaccia, Anja Schienkiewitz
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Abstract

Background: In the scope of the nationwide obligatory school entrance examinations (SEE), a standardised assessment of the preparedness for school of preschool children takes place in the federal states of Germany. For this purpose, height and weight of the children are determined. These data are available in aggregated form at county level, but are not yet being regularly compiled and processed at national level for use in policy and research.

Methods: In a pilot project, the indexing and merging of SEE data from 2015-2019 was tested in collaboration with six federal states. This was done using obesity prevalence at the time of the school entrance examination. In addition, prevalences were linked to small-scale indicators on settlement structure and sociodemographics from public databases, differences in obesity prevalence at county level were identified, and correlations to regional influencing factors were visualised.

Results: It was feasible to merge SEE data from the federal states with little effort. The majority of the selected indicators were freely available in public databases. In an interactive, easily comprehensible and user-friendly Tableau dashboard for visualising the SEE data, it can be seen that obesity prevalences differ significantly between counties that are similar in terms of settlement structure or sociodemographics.

Conclusions: Providing federal state SEE data and linking them to small-scale indicators enables region-based analyses and cross-state comparisons of similar counties and provides a data basis for continuous monitoring of the prevalence of obesity in early childhood.

Abstract Image

Abstract Image

入学考试作为儿童健康监测的小规模数据源,以肥胖为例。
背景:在全国义务入学考试(SEE)范围内,对德国联邦各州学龄前儿童入学准备情况进行标准化评估。为此,确定了儿童的身高和体重。这些数据在县一级以汇总形式提供,但尚未在国家一级定期汇编和处理,以供政策和研究使用。方法:在试点项目中,与六个联邦州合作,对2015-2019年SEE数据的索引和合并进行了测试。这项研究采用了入学考试时的肥胖患病率。此外,流行率与公共数据库中关于住区结构和社会人口统计的小规模指标相关联,确定了县一级肥胖流行率的差异,并可视化了与区域影响因素的相关性。结果:合并来自联邦各州的SEE数据是可行的。大多数选定的指标都可以在公共数据库中免费获得。在用于可视化SEE数据的交互式、易于理解和用户友好的Tableau仪表板中,可以看到,在定居结构或社会人口统计学方面相似的县之间,肥胖患病率存在显着差异。结论:提供联邦州SEE数据并将其与小规模指标联系起来,可以实现基于区域的分析和类似县的跨州比较,并为持续监测幼儿肥胖患病率提供数据基础。
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