Evidence map›Paper›PMID 37117850›Full record

ArticleNature food2023

Ad libitum meal energy intake is positively influenced by energy density, eating rate and hyper-palatable food across four dietary patterns.

Tera L Fazzino, Amber B Courville, Juen Guo, Kevin D Hall

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
–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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
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  6. Household income and food addiction symptoms predict ultra-processed foods intake in Brazilian university students: implications for policy.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026
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  15. The role of ultra-processed food in obesity.Nature reviews. Endocrinology · 2025
    Review
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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.

Tera L FazzinoDepartment of Psychology, University of Kansas, Lawrence, KS, USA.ORCID 0000-0002-2896-9791
Amber B CourvilleNational Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, USA.
Juen GuoNational Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, USA.
Kevin D HallNational Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, USA. kevin.hall@nih.gov.ORCID 0000-0003-4062-3133

Funding

Modeling interactions of diet, exercise, metabolism, and weight change in humansZIADK013037 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI DARCEY, VALERIE · 2009 to 2025
$10.8M
Computational modeling of human metabolism, body weight and compositionZIADK013036 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HALL, KEVIN · 2009 to 2024
$3.6M
6 · The paper itself

Abstract

Diets for the prevention and treatment of obesity are often informed by theories about food characteristics believed to support spontaneous reductions in ad libitum energy intake without inducing hunger. Here we estimated how energy density, hyper-palatability, protein content and eating rate affected ad libitum energy intake of 2,733 meals from four dietary patterns. Energy density, eating rate and hyper-palatable foods were consistently positively related to meal energy intake across all diets. Protein content was positively related to meal energy intake during ultraprocessed and unprocessed diets but was not significantly related to energy intake of minimally processed low-fat or low-carbohydrate meals.

Indexed as

Dietary FatsEnergy IntakeDiet, Fat-RestrictedHumansMealsObesityDietary Fats

Identifiers

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.