Evidence map›Paper›PMID 29032787›Full record

ArticlePublic health nutrition2018

Ultra-processed foods, protein leverage and energy intake in the USA.

Euridice Martínez Steele, David Raubenheimer, Stephen J Simpson, Larissa Galastri Baraldi, Carlos A Monteiro

Open access · bronzeAbstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 pooled it
8.4field-weighted citation impact, top 2% of its field
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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Protein Decoys, Alcohol, and Energy Intake: Testing a Mechanistic-Ecological Model.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  7. Observational
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. The role of ultra-processed food in obesity.Nature reviews. Endocrinology · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Euridice Martínez Steele1Department of Nutrition,School of Public Health,University of São Paulo,Av. Dr Arnaldo 715, São Paulo, SP 01246-907,Brazil.
David Raubenheimer3Charles Perkins Centre and School of Life and Environmental Sciences,The University of Sydney,Sydney,Australia.
Stephen J Simpson3Charles Perkins Centre and School of Life and Environmental Sciences,The University of Sydney,Sydney,Australia.
Larissa Galastri Baraldi1Department of Nutrition,School of Public Health,University of São Paulo,Av. Dr Arnaldo 715, São Paulo, SP 01246-907,Brazil.
Carlos A Monteiro1Department of Nutrition,School of Public Health,University of São Paulo,Av. Dr Arnaldo 715, São Paulo, SP 01246-907,Brazil.
Universidade de São Paulo · BRUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExperimental studies have shown that human macronutrient regulation minimizes variation in absolute protein intake and consequently energy intake varies passively with dietary protein density ('protein leverage'). According to the 'protein leverage hypothesis' (PLH), protein leverage interacts with a reduction in dietary protein density to drive energy overconsumption and obesity. Worldwide increase in consumption of ultra-processed foods (UPF) has been hypothesized to be an important determinant of dietary protein dilution, and consequently an ecological driving force of energy overconsumption and the obesity pandemic. The present study examined the relationships between dietary contribution of UPF, dietary proportional protein content and the absolute intakes of protein and energy.

designNational representative cross-sectional study.

settingNational Health and Nutrition Examination Survey 2009-2010. SUBJECTS: Participants (n 9042) aged ≥2 years with at least one day of 24 h dietary recall data.

resultsWe found a strong inverse relationship between consumption of UPF and dietary protein density, with mean protein content dropping from 18·2 to 13·3 % between the lowest and highest quintiles of dietary contribution of UPF. Consistent with the PLH, increase in the dietary contribution of UPF (previously shown to be inversely associated with protein density) was also associated with a rise in total energy intake, while absolute protein intake remained relatively constant.

conclusionsThe protein-diluting effect of UPF might be one mechanism accounting for their association with excess energy intake. Reducing UPF contribution in the US diet may be an effective way to increase its dietary protein concentration and prevent excessive energy intake.

Indexed as

DietFast FoodsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesDietary ProteinsExerciseFood AnalysisFood HandlingHumansMental RecallMiddle AgedDietary ProteinsDietary protein contentNHANESProtein leverage hypothesisUltra-processed foods

Identifiers

PMID29032787
PMCPMC10260799
OpenAlexW2761938775

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.