Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands.
Upstream Team, Amsterdam UMC, de Boelelaan 1117, The Netherlands.
Int J Environ Res Public Health. 2020 Mar 16;17(6):1946. doi: 10.3390/ijerph17061946.
The aim of this study was to validate a Dutch commercial dataset containing information on the types and locations of food retailers against field audit data. Field validation of a commercial dataset ("Locatus") was conducted in February 2019. Data on the location and classification of food retailers were collected through field audits in 152 streets from four urban and four rural neighborhoods in the Netherlands. The classification of food retailers included eight types of grocery stores (e.g., supermarkets, bakeries) and four types of food outlets (e.g., cafés, take away restaurants). The commercial dataset in the studied area listed 322 food retailers, whereas the field audit counted 315 food retailers. Overall, the commercially available data showed "good" to "excellent" agreement statistics (>0.71) with field audit data for all three levels of analysis (i.e., location, classification and both combined) and across urban as well as rural areas. The commercial dataset under study provided an accurate description of the measured food environment. Therefore, policymakers and researchers should feel confident in using this commercial dataset as a source of secondary data.
本研究旨在验证一个包含荷兰商业数据集的信息,该数据集包含有关食品零售商类型和位置的信息,并与实地审计数据相对比。2019 年 2 月,对商业数据集(“Locatus”)进行了实地验证。通过在荷兰四个城市和四个农村社区的 152 条街道上进行实地审计,收集了关于食品零售商位置和分类的数据。食品零售商的分类包括八种类型的杂货店(例如超市、面包店)和四种类型的食品店(例如咖啡馆、外卖餐厅)。在研究区域,商业数据集列出了 322 家食品零售商,而实地审计则统计了 315 家食品零售商。总体而言,对于所有三个分析层次(即位置、分类以及两者的组合)以及城市和农村地区,商业上可用的数据与实地审计数据之间显示出“良好”到“优秀”的一致性统计数据(>0.71)。研究中使用的商业数据集准确地描述了所测量的食品环境。因此,政策制定者和研究人员应该有信心将此商业数据集用作二手数据的来源。