Evidence map›Paper›PMID 40270081›Full record

ArticlePublic health nutrition2025

Exploring disparities in the proportion of ultra-processed foods and beverages purchased in grocery stores by US households in 2020.

Elizabeth K Dunford, Donna R Miles, Barry M Popkin

Abstract read
In one paragraph

Article in Public health nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Elizabeth K DunfordFood Policy Division, The George Institute for Global Health, University of New South Wales, Sydney, Australia.ORCID 0000-0003-4505-3256
Donna R MilesCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Barry M PopkinCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, USA.ORCID 0000-0001-9495-9324

Funding

MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
Monitoring Social Change: Dynamics Of Aging And Cognitive FunctionR01AG065357 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 2020 to 2024
$3.6M
INTERNATIONAL TRAINING IN POPULATION, HEALTH AND AGINGD43TW000633 · FIC · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 1995 to 2004
$1.1M
Nutrition-Related NCD Prevention Training in ChinaD43TW007709 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2006 to 2010
$723k
FIC NIH HHS D43 TW000633FIC NIH HHS D43 TW007709NIA NIH HHS R01 AG065357NICHD NIH HHS R01 HD030880
6 · The paper itself

Abstract

objectiveAmerican diets are increasingly based on ultra-processed foods (UPF). Current research, particularly on socio-economic differentials, is lacking. This study aimed to provide an updated examination of US household purchases of UPF and how this differs by race-ethnicity, household income and household education.

designThe NielsenIQ Consumer Panel 2020 was utilised for analysis. Each food and beverage product purchased by US households was assigned a level of processing under the Nova level of processing classification system. The volume of UPF purchased overall and by food group was determined for each Nova processing group and examined by race-ethnicity, education and income. Results were stratified by race-ethnicity within each income group. A

settingThis study analysed data from the Nielsen IQ Consumer Panel 2020 which recorded household food purchases in the USA.

participantsThe Nielsen IQ Homescan Consumer Panel is a nationally representative longitudinal survey of around 35 000 and 60 000 US households.

resultsOf 33 054 687 products purchased by 59 939 US households in 2020, 48 % of foods and 38 % of beverages were considered UPF. Categories with the highest proportion of purchases deriving from UPF included carbonated soft drinks (90 %), mixed dishes and soups (81 %) and sweets and snacks (71 %). Slightly higher but statistically significant proportions of UPF purchases occurred in the lowest income and education groups and among non-Hispanic whites.

conclusionsIt is concerning that household purchases of UPF in the USA are high. Policies that reduce consumption of UPF may help reduce diet-related health inequalities.

Indexed as

BeveragesConsumer BehaviorDietFamily CharacteristicsFast FoodsAdultEthnicityFemaleFood, ProcessedHumansIncomeLongitudinal StudiesMaleSocioeconomic FactorsUnited StatesFood environmentFood purchasesNOVA classificationRace–ethnic differencesUltra-processed foods

Identifiers

PMID40270081
PMCPMC12100555

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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.