Utilization of multiple food and nutrient databases to code food logs in the FoodAPS-2 field test

IF 4 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis Pub Date : 2025-05-27 DOI:10.1016/j.jfca.2025.107851

Amber Brown McFadden, Deirdre Douglass, Thea Palmer Zimmerman

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引用次数: 0

Abstract

Westat executed the field test for the second National Household Food Acquisition and Purchase Survey (FoodAPS-2) in 2022. Participants recorded acquisitions with a smartphone app by scanning barcodes and entering descriptions and price look-up (PLU) codes for 7 days. Three processes linked the food and beverage data to food codes. Barcode data were linked to the Circana, U.S. Department of Agriculture (USDA), and Nutritionix databases to identify foods. The Purchase to Plate Crosswalk (PPC) linked Universal Product Codes (UPCs) to the 2017–2018 version of the Food and Nutrient Database for Dietary Studies (FNDDS). PLU codes were linked to FNDDS with a crosswalk. During data processing, coders reviewed automated matches and coded unmatched items with food codes from USDA’s FoodData Central while coding additional attributes. After the coding phase, SAS analysts linked USDA Economic Research Service (ERS) Food Purchase Groups, NPD Group restaurant characteristics, and store information. The FoodAPS-2 field test utilized multiple food and nutrient databases to describe food and beverage acquisitions. This combination of databases yielded information to identify food and beverage nutrients, food patterns equivalents, ingredients, portion size, package size, PPC form, PPC refuse, label claims, restaurant data, store data, ERS Food Purchase Groups, and brand names.

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在FoodAPS-2现场测试中，利用多个食品和营养数据库对食品日志进行编码

Westat于2022年进行了第二次全国家庭粮食采办和购买调查（FoodAPS-2）的现场测试。参与者通过扫描条形码并输入描述和价格查找（PLU）代码，用智能手机应用程序记录购买情况，为期7天。将食品和饮料数据与食品代码联系起来的过程有三个。条形码数据与Circana、美国农业部（USDA）和Nutritionix数据库相关联，以识别食物。从购买到盘子的人行横道（PPC）将通用产品代码（upc）与饮食研究食品和营养数据库（FNDDS）的2017-2018版本联系起来。PLU代码通过人行横道连接到FNDDS。在数据处理过程中，编码人员检查自动匹配项，并使用美国农业部食品数据中心的食品代码对不匹配项进行编码，同时对其他属性进行编码。在编码阶段之后，SAS分析师将美国农业部经济研究服务处（ERS）的食品采购组、NPD集团的餐厅特征和商店信息联系起来。FoodAPS-2现场测试利用多个食品和营养数据库来描述食品和饮料的收购情况。这些数据库的组合产生了识别食品和饮料营养成分、食品模式等同物、成分、份量、包装大小、PPC形式、PPC拒绝、标签声明、餐馆数据、商店数据、ERS食品采购组和品牌名称的信息。

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来源期刊

Journal of Food Composition and Analysis 工程技术-食品科技

CiteScore

6.20

自引率

11.60%

发文量

601

审稿时长

53 days

期刊介绍： The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.