Evidence map›Paper›PMID 37935307›Full record

ArticleContemporary clinical trials2023

The influence of ultra-processed food consumption on reward processing and energy intake: Background, design, and methods of a controlled feeding trial in adolescents and young adults.

Maria L M Rego, Emma Leslie, Bailey T Capra, Mckenna Helder, Wenjing Yu, Benjamin Katz, Kevin P Davy, Valisa E Hedrick, Brenda M Davy, Alexandra G DiFeliceantonio

Open access · greenAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 2 institutions in 1 country.

Maria L M RegoDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, USA. Electronic address: mariarego@vt.edu.
Emma LeslieFralin Biomedical Research Institute, Virginia Tech, USA.
Bailey T CapraDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, USA.
Mckenna HelderDepartment of Food Science and Technology, Virginia Tech, USA.
Wenjing YuFralin Biomedical Research Institute, Virginia Tech, USA.
Benjamin KatzDepartment of Human Development and Family Science, Virginia Tech, USA.
Kevin P DavyDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, USA.
Valisa E HedrickDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, USA.
Brenda M DavyDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, USA.
Alexandra G DiFeliceantonioDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, USA; Fralin Biomedical Research Institute, Virginia Tech, USA.
Virginia Tech · USBiomedical Research Institute · US

Funding

Influence of ultra-processed foods on reward processing and energy intakeR21HD109722 · NICHD · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI DAVY, BRENDA M, DIFELICEANTONIO, ALEXANDRA GOLD · 2022 to 2023
$440k
NICHD NIH HHS R21 HD109722
6 · The paper itself

Abstract

backgroundThe greatest age-related weight gain occurs in the early/mid-20s. Overall dietary quality among adolescents and emerging adults (age 18-25) is poor, with ultra-processed foods (UPF) representing more than two-thirds of adolescents' total energy intake (i.e., 68%). UPF consumption may impact cognitive and neurobiological factors that influence dietary decision-making and energy intake (EI). To date, no research has addressed this in this population.

methodsParticipants aged 18-25 will undergo two 14-day controlled feeding periods (81% UPF, 0% UPF) using a randomly assigned crossover design, with a 4-week washout between conditions. Brain response to a UPF-rich milkshake, as well as behavioral measures of executive function, will be evaluated before and after each diet. Following each diet, measurements include ad libitum buffet meal EI, food selection, eating rate, and eating in the absence of hunger (EAH). Prior to initiating recruitment, controlled diet menus, buffet, and EAH snacks were developed and evaluated for palatability. Sensory and texture attributes of buffet and EAH snack foods were also evaluated.

resultsOverall diet palatability was rated "like very much" (8)/"like moderately"(7) (UPF: 7.6 ± 1.0; Non-UPF: 6.8 ± 1.5). Subjective hardness rating (range = 1-9 [1 = soft, 9 = hard] was similar between UPF and Non-UPF buffet and snack items (UPF:4.22 ± 2.19, Non-UPF: 4.70 ± 2.03), as was the objective measure of hardness (UPF: 2874.33 ± 2497.06 g, Non-UPF: 2243.32 ± 1700.51 g).

conclusionsFindings could contribute to an emerging neurobiological understanding of the effects of UPF consumption including energy overconsumption and weight gain among individuals at a critical developmental stage.

Indexed as

Fast FoodsFood, ProcessedAdolescentAdultCross-Over StudiesDietEnergy IntakeHumansRandomized Controlled Trials as TopicWeight GainYoung AdultBody weightCognitionDietEnergy intakeFunctional magnetic resonance imagingUltra-processed food

Identifiers

PMID37935307
PMCPMC10872704
OpenAlexW4388378458

What OpenQuestion holds

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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.