Evidence map›Paper›PMID 39806219›Full record

ArticleNature food2025

Prevalence of processed foods in major US grocery stores.

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

Abstract read
In one paragraph

Article in Nature food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Babak Ravandi *Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA.ORCID 0000-0003-0203-5605
Gordana Ispirova *Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Michael Sebek *Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA.ORCID 0000-0003-3347-7131
Peter MehlerDepartment of Computer Science, IT University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-4989-3853
Albert-László BarabásiNetwork Science Institute and Department of Physics, Northeastern University, Boston, MA, USA.ORCID 0000-0002-4028-3522
Giulia Menichetti *Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA. giulia.menichetti@channing.harvard.edu.ORCID 0000-0001-5201-6774

Funding

Systems Biology of Airway DiseaseP01HL132825 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LANGE, CHRISTOPH · 2016 to 2020
$12.6M
Methods for Unraveling the Impact of Dietary Xenobiotics on COPD Exacerbations with Multi-Dimensional NetworksK25HL173665 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Giulia Menichetti · 2024 to 2026
$487k
American Heart Association (American Heart Association, Inc.) 151708American Heart Association (American Heart Association, Inc.) 24MERIT 1185447EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 810115-DYNASETNHLBI NIH HHS K25 HL173665NHLBI NIH HHS P01 HL132825U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K25HL173665
6 · The paper itself

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.

Indexed as

CommerceFast FoodsFood HandlingConsumer BehaviorDatabases, FactualFood, ProcessedHumansUnited States

Identifiers

PMID39806219
PMCPMC12579494

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.