Evidence map›Paper›PMID 41475551›Full record

Trial reportThe American journal of clinical nutrition2026

Consuming an unprocessed diet reduces energy intake: a post-hoc analysis of a randomized controlled trial reveals a role for human nutritional intelligence.

Jeffrey M Brunstrom, Mark Schatzker, Peter J Rogers, Amber B Courville, Kevin D Hall, Annika N Flynn

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03407053 (Effect of Ultra Processed Versus Unprocessed Diets on Energy Intake), which is not on this 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.

NCT03407053 nacompletednot on this map

Effect of Ultra Processed Versus Unprocessed Diets on Energy Intake

TypeinterventionalSponsorNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)Ran2018 to 2020Enrolled20ConditionsHealthy DietArmsUltra-processed diet, Unprocessed diet
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

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

6 authors.

Jeffrey M BrunstromNutrition and Behaviour Unit, School of Psychology and Neuroscience, University of Bristol, Bristol, United Kingdom; National Institute for Health and Care Research (NIHR) Bristol Biomedical Research Centre: Nutrition Theme, University of Bristol, University Hospitals Bristol Education & Research Centre, Bristol, United Kingdom. Electronic address: Jeff.Brunstrom@Bristol.ac.uk.
Mark SchatzkerModern Diet and Physiology Research Centre, McGill University, Montreal, QC, Canada.
Peter J RogersNutrition and Behaviour Unit, School of Psychology and Neuroscience, University of Bristol, Bristol, United Kingdom.
Amber B CourvilleNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, United States.
Kevin D HallNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, United States.
Annika N FlynnNutrition and Behaviour Unit, School of Psychology and Neuroscience, University of Bristol, Bristol, United Kingdom; National Institute for Health and Care Research (NIHR) Bristol Biomedical Research Centre: Nutrition Theme, University of Bristol, University Hospitals Bristol Education & Research Centre, Bristol, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2019, Hall et al. reported a randomized clinical trial showing that an ultraprocessed diet increases energy intake by ∼500 kcal/d compared with an unprocessed diet.

objectiveThis post-hoc analysis assessed whether participants selected meal components with specific nutritional characteristics and how this affected energy intake.

methodsTwenty weight-stable adults received an ad libitum ultraprocessed or unprocessed diet for 2 wk, followed by the alternate diet. ANOVA and t tests assessed diet effects; a linear mixed model assessed predictors of meal size.

resultsWith the unprocessed diet, participants selected components with a less-equal blend of energy from carbohydrate and fat ["blend index" difference; lunch = 0.22 (95% CI: 0.19, 0.26), P< 0.0001, d = 0.76; dinner = 0.24 (95% CI: 0.19, 0.28), P< 0.0001, d = 0.71]. These components formed meals that had a lower blend index (less balanced) than ultraprocessed meals [lunch, F(1, 19) = 18.49, P < 0.0004, partial η

conclusionsUnprocessed meals may reduce energy intake because: 1) they have a less balanced carbohydrate-fat blend; and 2) they promote a form of nutritional intelligence whereby a compromise is struck between consuming calories and consuming micronutrients, which we refer to as "micronutrient deleveraging." This trial was registered at clinicaltrials.gov as NCT03407053.

Indexed as

DietEnergy IntakeIntelligenceAdultFemaleHumansMaleMealsMiddle Agedcarbohydrateenergy balanceenergy intakefatfood choicemicronutrient deleveragingNOVAultraprocessed foodsultraprocessing

Identifiers

PMID41475551
PMCPMC12975374

What OpenQuestion holds

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Registered trials

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.