Department of Food and Nutrition, University of Helsinki, PO Box 66, 00014Helsinki, Finland.
Faculty of Social Sciences (Health Sciences), Tampere University, Arvo Ylpön katu 34, 33014Tampere, Finland.
Br J Nutr. 2022 Nov 14;128(9):1780-1788. doi: 10.1017/S0007114521004177. Epub 2021 Oct 18.
The validity of grocery purchase data as an indicator of food consumption is uncertain. This paper investigated (1) the associations between food consumption and grocery purchases using automatically accumulated purchase data and (2) whether the strength of the associations differed in certain sub-populations. The participants filled in a FFQ, and a major Finnish retailer issued us with their loyalty-card holders' grocery purchase data covering the 1- and 12-month periods preceding the FFQ. We used gamma statistics to study the association between thirds/quarters of FFQ and grocery purchase data (frequency/amount) separately for eighteen food groups among the 11 983 participants. Stratified analyses were conducted for subgroups based on sex, family structure, educational level, household income and self-estimated share of purchases from the retailer. We also examined the proportion of participants classified into the same, adjacent, subsequent and opposite categories using the FFQ and purchase data. The gammas ranged from 0·12 (cooked vegetables) to 0·75 (margarines). Single households had stronger gammas than two-adult families, and participants with > 60 % of purchases from the retailer had stronger gammas. For most food groups, the proportion of participants classified into the same or adjacent category was > 70 %. Most discrepancies were observed for fresh/cooked vegetables, berries and vegetable oils. Even though the two methods did not categorise all food groups similarly, we conclude that grocery purchase data are able to describe food consumption in an adult population, and future studies should consider purchase data as a resource-saving and moderately valid measure in large samples.
杂货购买数据作为食物消费的指标的有效性尚不确定。本文研究了(1)使用自动累积的购买数据来关联食物消费和杂货购买,以及(2)关联在某些亚人群中是否存在差异。参与者填写了一份食物频数问卷,一家主要的芬兰零售商向我们提供了他们的会员卡持有者在填写食物频数问卷之前的 1 个月和 12 个月的杂货购买数据。我们使用伽马统计来分别研究食物频数问卷的三分之一/四分之一和 11983 名参与者中十八个食物组的杂货购买数据(频率/数量)之间的关联。根据性别、家庭结构、教育水平、家庭收入和自我估计的从零售商购买的份额对亚组进行分层分析。我们还检查了使用食物频数问卷和购买数据将参与者分类到相同、相邻、后续和相反类别的比例。伽马值范围从 0·12(熟蔬菜)到 0·75(人造黄油)。单身家庭的伽马值高于有两个成年人的家庭,从零售商处购买超过 60%商品的参与者的伽马值更高。对于大多数食物组,分类到相同或相邻类别的参与者比例>70%。对于新鲜/煮熟的蔬菜、浆果和植物油,观察到的差异最大。尽管这两种方法没有将所有食物组进行相似的分类,但我们得出结论,杂货购买数据能够描述成年人群的食物消费,未来的研究应该考虑将购买数据作为一种资源节约和在大样本中具有中等有效性的衡量标准。