Evidence map›Paper›PMID 35488870›Full record

ArticleThe American journal of clinical nutrition2022

Time to revisit the passive overconsumption hypothesis? Humans show sensitivity to calories in energy-rich meals.

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

Open access · hybridAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Annika N FlynnNutrition and Behaviour Unit, School of Psychological Science, University of Bristol, Bristol, United Kingdom.
Kevin D HallNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA.
Amber B CourvilleNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA.
Peter J RogersNutrition and Behaviour Unit, School of Psychological Science, University of Bristol, Bristol, United Kingdom.
Jeffrey M BrunstromNutrition and Behaviour Unit, School of Psychological Science, University of Bristol, Bristol, United Kingdom.
National Institute of Diabetes and Digestive and Kidney Diseases · USNIHR Bristol Biomedical Research Centre · GBUniversity of Bristol · GB

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
6 · The paper itself

Abstract

backgroundA possible driver of obesity is insensitivity (passive overconsumption) to food energy density (ED, kcal/g); however, it is unclear whether this insensitivity applies to all meals.

objectivesWe assessed the influence of ED on energy intake (kcal) across a broad and continuous range of EDs comprised of noncovertly manipulated, real-world meals. We also allowed for the possibility that the association between energy intake and ED is nonlinear.

methodsWe completed a secondary analysis of 1519 meals which occurred in a controlled environment as part of a study conducted by Hall and colleagues to assess the effects of food ultra-processing on energy intake. To establish the generalizability of the findings, the analyses were repeated in 32,162 meals collected from free-living humans using data from the UK National Diet and Nutrition Survey (NDNS). Segmented regressions were performed to establish ED "breakpoints" at which the association between consumed meal ED and mean centered meal caloric intake (kcal) changed.

resultsSignificant breakpoints were found in both the Hall et al. data set (1.41 kcal/g) and the NDNS data set (1.75 and 2.94 kcal/g). Centered meal caloric intake did not increase linearly with consumed meal ED, and this pattern was captured by a 2-component ("volume" and "calorie content" [biologically derived from the sensing of fat, carbohydrate, and protein]) model of physical meal size (g), in which volume is the dominant signal with lower energy-dense foods and calorie content is the dominant signal with higher energy-dense foods.

conclusionsThese analyses reveal that, on some level, humans are sensitive to the energy content of meals and adjust meal size to minimize the acute aversive effects of overconsumption. Future research should consider the relative importance of volume and calorie-content signals, and how individual differences impact everyday dietary behavior and energy balance.

Indexed as

Energy IntakeMealsDietHumansNutrition SurveysObesitycalorie contentenergy balanceenergy densityenergy intakemeal sizepassive overconsumptionsatiationsatietyultra-processingvolume

Identifiers

PMID35488870
PMCPMC9348985
OpenAlexW4225123847

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.