Evidence map›Paper›PMID 38340130›Full record

ArticleJournal of nutrition education and behavior2024

Factors Correlated With Ultra-Processed Food (UPF) Intake in Preschool-Aged Children and Association With Weight.

Jennifer E Carroll, Susan R Sturgeon, Elizabeth Bertone-Johnson, Nicole VanKim, Meghan R Longacre, Madeline A Dalton, Jennifer A Emond

Open access · greenAbstract read
In one paragraph

Article in Journal of nutrition education and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Jennifer E CarrollDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA; Department of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, NH. Electronic address: jecarroll@umass.edu.
Susan R SturgeonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA.
Elizabeth Bertone-JohnsonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA; Department of Health Promotion and Policy, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA.
Nicole VanKimDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA.
Meghan R LongacreDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, NH; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, NH; Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, NH.
Madeline A DaltonDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, NH; Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, NH.
Jennifer A EmondDepartment of Biomedical Data Sciences, Geisel School of Medicine, Dartmouth College, Hanover, NH; Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, NH.
Dartmouth College · USUniversity of Massachusetts Amherst · USAmherst College · US

Funding

Impact of Food Marketing and Cross-Promotions on Preschoolers' Dietary IntakeR01HD071021 · NICHD · DARTMOUTH COLLEGE · PI DALTON, MADELINE A., LONGACRE, MEGHAN R · 2012 to 2016
$3.1M
Prospective impact of media use on sleep and obesity risk in preschoolersK01DK117971 · NIDDK · DARTMOUTH COLLEGE · PI EMOND, JENNIFER A. · 2018 to 2022
$735k
NICHD NIH HHS R01 HD071021NIDDK NIH HHS K01 DK117971
6 · The paper itself

Abstract

objectiveUnderstand the correlates of ultra-processed food (UPF) intake and examine the association of UPF on body mass index in children aged 3-5 years.

designSecondary analysis of a prospective cohort of 3-5-year-olds/parent, followed 1-year between March 2014 and October 2016. Usual UPF intake from 2 3-day food records completed 1 year apart, a standardized nutrient database customized with child-specific foods, and a NOVA food classification system was used. Child/parent characteristics and media use were measured via parent-reported surveys. Child weight/height objectively measured.

settingNew Hampshire community.

participantsSix hundred and sixty-seven parent-child dyads were screened, and 624 were enrolled with 90% follow-up. MAIN OUTCOME MEASURE(S): Primary outcome: identify correlates of UPF intake. SECONDARY OUTCOME: determine if UPF intake is associated with body mass index change. ANALYSIS: Adjusted β linear regression, linear regression, P <0.05.

resultsUltra-processed food accounted for 67.6% of total caloric intake. In adjusted models, children's UPF intake was positively associated with increasing child age, greater hours watching television, and more frequent parent soda/fast-food intake. Ultra-processed food intake was negatively associated with higher parent education and reported race/ethnicity other than non-Hispanic White. There was no association between UPF intake and weight. CONCLUSIONS AND IMPLICATIONS: There are several predictors of UPF intake in young children. Family-level interventions could be implemented to encourage the intake of minimally processed foods before and during preschool years.

Indexed as

DietFood, ProcessedChild, PreschoolEnergy IntakeFast FoodsFood HandlingHumansProspective StudiesSurveys and Questionnairesbody mass indexchild healthfoodultra-processed

Identifiers

PMID38340130
PMCPMC10999344
OpenAlexW4391678601

What OpenQuestion holds

Textmetadata
LicenceTDM
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.