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美国主要杂货店中加工食品的流行情况。

Prevalence of processed foods in major US grocery stores.

作者信息

Ravandi Babak, Ispirova Gordana, Sebek Michael, Mehler Peter, Barabási Albert-László, Menichetti Giulia

机构信息

Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA.

Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Nat Food. 2025 Mar;6(3):296-308. doi: 10.1038/s43016-024-01095-7. Epub 2025 Jan 13.

Abstract

The offering of grocery stores is a strong driver of consumer decisions. While highly processed foods such as packaged products, processed meat and sweetened soft drinks have been increasingly associated with unhealthy diets, information on the degree of processing characterizing an item in a store is not straightforward to obtain, limiting the ability of individuals to make informed choices. GroceryDB, a database with over 50,000 food items sold by Walmart, Target and Whole Foods, shows the degree of processing of food items and potential alternatives in the surrounding food environment. The extensive data gathered on ingredient lists and nutrition facts enables a large-scale analysis of ingredient patterns and degrees of processing, categorized by store, food category and price range. Furthermore, it allows the quantification of the individual contribution of over 1,000 ingredients to ultra-processing. GroceryDB makes this information accessible, guiding consumers toward less processed food choices.

摘要

杂货店的商品供应是消费者决策的一个重要驱动因素。虽然诸如包装产品、加工肉类和加糖软饮料等高加工食品越来越多地与不健康饮食联系在一起,但要获取商店中某一商品的加工程度信息并非易事,这限制了个人做出明智选择的能力。GroceryDB是一个包含沃尔玛、塔吉特和全食超市所售5万多种食品的数据库,它展示了食品的加工程度以及周边食品环境中的潜在替代品。收集到的关于成分列表和营养成分的大量数据能够对成分模式和加工程度进行大规模分析,并按商店、食品类别和价格范围进行分类。此外,它还能对1000多种成分对超加工食品的个体贡献进行量化。GroceryDB使这些信息易于获取,引导消费者选择加工较少的食品。

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