Evidence map›Paper›PMID 38883708›Full record

ArticlemedRxiv : the preprint server for health sciences2025

GroceryDB: Prevalence of Processed Food in Grocery Stores.

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

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Babak RavandiNetwork Science Institute and Department of Physics, Northeastern University, Boston, USA.
Gordana IspirovaDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.ORCID 0009-0002-5254-9807
Michael SebekNetwork Science Institute and Department of Physics, Northeastern University, Boston, 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, USA.ORCID 0000-0002-4028-3522
Giulia MenichettiDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.ORCID 0000-0001-5201-6774

Funding

Systems Biology of Airway DiseaseP01HL132825 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L · 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
NHLBI NIH HHS K25 HL173665NHLBI NIH HHS P01 HL132825
6 · The paper itself

Abstract

The offering of grocery stores is a strong driver of consumer decisions, shaping their diet and long-term health. While highly processed food like packaged products, processed meat, and sweetened soft drinks have been increasingly associated with unhealthy diet, information on the degree of processing characterizing an item in a store is not straight forward to obtain, limiting the ability of individuals to make informed choices. Here we introduce GroceryDB, a database with over 50,000 food items sold by Walmart, Target, and Wholefoods, unveiling how big data can be harnessed to empower consumers and policymakers with systematic access to the degree of processing of the foods they select, and the 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. Our findings reveal that the degree of food processing varies significantly across different food categories and grocery stores. Furthermore, this data allows us to quantify the individual contribution of over 1,000 ingredients to ultra-processing. GroceryDB and the associated http://TrueFood.Tech/ website make this information accessible, guiding consumers toward less processed food choices while assisting policymakers in reforming the food supply.

Identifiers

PMID38883708
PMCPMC11177926

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.