Evidence map›Paper›PMID 42601478›Full record

ArticleNature human behaviour2026

Short- and long-term shifts in food purchasing behaviours and nutrition disparities in the USA during and after the COVID-19 pandemic.

Guanlan Hu, Wei Lu, David Soberman, Mary R L'Abbé

Abstract read
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In one paragraph

Article in Nature human behaviour, 2026. 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
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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Guanlan HuDepartment of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Wei LuZicklin School of Business, Baruch College, City University of New York, New York, NY, USA.ORCID http://orcid.org/0000-0002-8201-1728
David SobermanRotman School of Management, University of Toronto, Toronto, Ontario, Canada. david.soberman@rotman.utoronto.ca.
Mary R L'AbbéDepartment of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. mary.labbe@utoronto.ca.ORCID http://orcid.org/0000-0001-7688-7558

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus 2019 pandemic disrupted food purchasing behaviours, triggering both short- and long-term nutritional shifts. Here, analysing 9,367,550 weekly shopping baskets from over 30,000 US households (2017-2022), combined with county-specific policies and artificial intelligence-enhanced nutrition profiling, we document distinct changes in household food baskets. During the pandemic and lockdowns, households increased spending on less processed foods, but by the post-pandemic period, spending on ultraprocessed foods rose above pre-pandemic levels. This divergence appeared strongly in processing-based measures (NOVA) but less in nutrient-based profiles (Healthy Eating Index and Food Standards Australia New Zealand), underscoring their complementary perspectives on diet quality. The spending gap between socioeconomic groups widened in 2020 but converged post-pandemic, while a new nutrition gap emerged as higher-income households increased spending on less nutritious foods. Categories such as prepared and frozen foods and carbonated beverages showed persistant effects. These findings highlight the pandemic's uneven, lasting influence on dietary behaviour and the need for policies promoting healthier, more resilient food systems.

Identifiers

PMID42601478

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.