Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom.
School of Geography, Faculty of Environment, University of Leeds, Leeds, United Kingdom.
Nutr Rev. 2022 May 9;80(6):1711-1722. doi: 10.1093/nutrit/nuab089.
Most dietary assessment methods are limited by self-report biases, how long they take for participants to complete, and cost of time for dietitians to extract content. Electronically recorded, supermarket-obtained transactions are an objective measure of food purchases, with reduced bias and improved timeliness and scale.
The use, breadth, context, and utility of electronic purchase records for dietary research is assessed and discussed in this systematic review.
Four electronic databases (MEDLINE, EMBASE, PsycINFO, Global Health) were searched. Included studies used electronically recorded supermarket transactions to investigate the diet of healthy, free-living adults.
Searches identified 3422 articles, of which 145 full texts were retrieved and 72 met inclusion criteria. Study quality was assessed using the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies.
Purchase records were used in observational studies, policy evaluations, and experimental designs. Nutrition outcomes included dietary patterns, nutrients, and food category sales. Transactions were linked to nutrient data from retailers, commercial data sources, and national food composition databases.
Electronic sales data have the potential to transform dietary assessment and worldwide understanding of dietary behavior. Validation studies are warranted to understand limits to agreement and extrapolation to individual-level diets.
PROSPERO registration no. CRD42018103470.
大多数饮食评估方法都受到自我报告偏差、参与者完成所需时间以及营养师提取内容的时间成本的限制。电子记录的、超市获得的交易记录是食物购买的客观衡量标准，具有减少偏差、提高及时性和规模的特点。
本系统评价评估和讨论了电子购买记录在饮食研究中的使用、广度、背景和实用性。
四个电子数据库（MEDLINE、EMBASE、PsycINFO、全球健康）进行了检索。纳入的研究使用电子记录的超市交易来调查健康、自由生活的成年人的饮食。
搜索确定了 3422 篇文章，其中 145 篇全文被检索，72 篇符合纳入标准。使用美国国立卫生研究院的观察性队列和横断面研究质量评估工具评估了研究质量。
购买记录用于观察性研究、政策评估和实验设计。营养结果包括饮食模式、营养素和食物类别销售。交易与零售商、商业数据源和国家食物成分数据库中的营养数据相关联。
电子销售数据有可能改变饮食评估和全球对饮食行为的理解。需要验证研究来了解一致性的限制和对个体饮食的推断。
PROSPERO 注册编号 CRD42018103470。
