UKCRC Centre for Diet and Activity Research, Institute of Public Health, Box 296, Forvie Site, Robinson Way, University of Cambridge, Cambridge CB2 0SR, UK.
Int J Health Geogr. 2013 Jan 17;12:2. doi: 10.1186/1476-072X-12-2.
Interest in the role of food environments in shaping food consumption behaviours has grown in recent years. However, commonly used secondary food environment data sources have not yet been fully evaluated for completeness and systematic biases. This paper assessed the accuracy of UK Points of Interest (POI) data, compared to local council food outlet data for the county of Cambridgeshire.
Percentage agreement, positive predictive values (PPVs) and sensitivities were calculated for all food outlets across the study area, by outlet type, and across urban/rural/SES divisions.
Percentage agreement by outlet type (29.7-63.5%) differed significantly to overall percentage agreement (49%), differed significantly in rural areas (43%) compared to urban (52.8%), and by SES quintiles. POI data had an overall PPV of 74.9%, differing significantly for Convenience Stores (57.9%), Specialist Stores (68.3%), and Restaurants (82.6%). POI showed an overall 'moderate' sensitivity, although this varied significantly by outlet type. Whilst sensitivities by urban/rural/SES divides varied significantly from urban and least deprived reference categories, values remained 'moderate'.
Results suggest POI is a viable alternative to council data, particularly in terms of PPVs, which remain robust across urban/rural and SES divides. Most variation in completeness was by outlet type; lowest levels were for Convenience Stores, which are commonly cited as 'obesogenic'.
近年来，人们对食品环境在塑造食品消费行为方面的作用越来越感兴趣。然而，常用的二级食品环境数据源尚未得到充分评估，以确定其完整性和系统偏差。本文评估了英国兴趣点（POI）数据的准确性，并将其与剑桥郡地方议会食品网点数据进行了比较。
通过网点类型和城乡/社会经济地位（SES）划分，计算了整个研究区域所有食品网点的总体百分比一致性、阳性预测值（PPV）和敏感性。
网点类型的百分比一致性（29.7-63.5%）与总体百分比一致性（49%）显著不同，在农村地区（43%）与城市地区（52.8%）以及 SES 五分位数显著不同。POI 数据的总体 PPV 为 74.9%，便利店（57.9%）、专卖店（68.3%）和餐厅（82.6%）的 PPV 差异显著。POI 总体上显示出“中等”敏感性，但按网点类型差异显著。虽然城乡和 SES 划分的敏感性与城市和最不贫困的参考类别存在显著差异，但数值仍保持“中等”。
结果表明，POI 是议会数据的一种可行替代方案，尤其是在 PPV 方面，其在城乡和 SES 划分方面仍然稳健。完整性的大部分差异是由网点类型引起的；便利店的水平最低，便利店通常被认为是“致肥胖的”。
