Evidence map›Paper›PMID 40771514›Full record

ArticleBMJ nutrition, prevention & health2025

Overlap between ultra-processed food and food that is high in fat, salt or sugar: analysis of 11 annual waves of the UK National Diet and Nutrition Survey 2008/2009-2018/2019.

Viktorija Kesaite, Yanaina Chavez-Ugalde, Martin White, Jean Adams

Abstract read
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Article in BMJ nutrition, prevention & health, 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

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2 · The registry

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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

4 authors.

Viktorija KesaiteMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0002-0053-7583
Yanaina Chavez-UgaldeMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Martin WhiteMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0002-1861-6757
Jean AdamsUniversity of Cambridge School of Clinical Medicine, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While many countries use guidance and policies based on nutrients and food groups to support citizens to consume healthy diets, fewer have explicitly adopted the concept of ultra-processed foods (UPF). UPF consumption is associated with many adverse health outcomes in cohort studies. In the UK, a nutrient profiling model (NPM) is used to identify foods high in fat, salt or sugar (HFSS) and several policies target these. It is not known how well the NPM also captures UPF. We aimed to quantify the proportion of food and drink items consumed in the UK that are HFSS, UPF, both or neither and describe the food groups making the largest contributions to each category. We analysed data from the National Diet and Nutrition Survey, between 2008/2009 and 2018/2019, using descriptive statistics. We used three metrics of food consumption: all foods, percentage of energy in all foods (reflecting that different foods are consumed in different portion sizes and are of different energy densities) and percentage of food weight in all foods (reflecting that some UPFs have few calories but are consumed in large volumes). We found that 33.4% of foods, 47.4% of energy and 16.0% of food weight were HFSS; 36.2%, 59.8% and 32.9%, respectively, were UPFs; 20.1%, 35.1% and 12.6% were both and 50.5%, 27.9% and 63.7% were neither. In total, 55.6% of UPF foods, 58.7% of energy from UPFs and 38.3% of food weight from UPF consumed were also HFSS. The most common food groups contributing to foods that were UPF but not HFSS were low-calorie soft drinks and white bread. The UK NPM captures at best just over half of UPFs consumed in the UK. Expanding the NPM to include ingredients common in UPFs (eg, non-nutritive sweeteners, emulsifiers) would capture a larger percentage of UPFs and could incentivise 'deformulation' of UPF products.

Indexed as

MalnutritionNutrient deficienciesNutrition assessment

Identifiers

PMID40771514
PMCPMC12322569

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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.