Evidence mapPaperPMID 39696455Full record

ArticleThe international journal of behavioral nutrition and physical activity2024

Prospective associations of infant food exposures and appetitive traits with early childhood diet quality.

Tonja R Nansel, Amara Channell-Doig, Leah M Lipsky, Kyle Burger, Grace Shearrer, Anna Maria Siega-Riz, Yong Ma

Abstract read
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Article in The international journal of behavioral nutrition and physical activity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Tonja R NanselSocial and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge DrMSC 7004, Bethesda, MD, 20892, USA. nanselt@mail.nih.gov.ORCID http://orcid.org/0000-0002-8298-7595
Amara Channell-DoigSocial and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge DrMSC 7004, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0002-1546-3003
Leah M LipskySocial and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge DrMSC 7004, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0003-2645-4388
Kyle BurgerDepartment of Nutrition, University of North Carolina, Chapel Hill, USA.ORCID http://orcid.org/0000-0001-6376-7514
Grace ShearrerDepartment of Family and Consumer Sciences, University of Wyoming, 1000 University, Laramie, WY, 82071, USA.ORCID http://orcid.org/0000-0002-0450-4404
Anna Maria Siega-RizEpidemiology and Biostatistics, School of Public Health and Health Sciences, University of Massachusetts, 715 North Pleasant St., 109 Arnold, Amherst, MA, 01003-9303, USA.ORCID http://orcid.org/0000-0002-1303-4248
Yong MaGlotech Group, Contractor for the Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge DrMSC 7004, Bethesda, MD, 20892, USA.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · UNIV OF NORTH CAROLINA CHAPEL HILL · 2001 to 2025
$6.9M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · UNIV OF NORTH CAROLINA CHAPEL HILL · 1999 to 2025
$5.9M
Eunice Kennedy Shriver National Institute of Child Health and Human Development Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNIDDK NIH HHS P30 DK056350NIDDK NIH HHS P30DK056350NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

backgroundEarly-life food exposures may influence food preferences and receptivity, thereby impacting long-term diet quality. Infant exposure to discretionary foods may be more detrimental for infants with high food approach traits; conversely, early exposure to fruits and vegetables may be more important for those with high food avoidance traits. This study investigated associations of infant food exposures with early childhood diet quality and whether these associations are modified by infant appetitive traits.

methodsData are from the Pregnancy Eating Attributes Study (PEAS) and Sprouts follow-up study, a prospective cohort assessed from the first trimester of pregnancy through early childhood. Birthing parents completed the Baby Eating Behavior Questionnaire assessing food-approach and food-avoidance appetitive traits at 6 months and food frequency questionnaires assessing infant age at introduction to and frequency of consuming food groups at ages 6 months, 1 year, and 2 years. At child ages 3.5 and 5 years, parents provided two 24-h dietary recalls, from which the Healthy Eating Index-2020 was calculated to measure diet quality. Structural equation models using maximum likelihood estimation examined associations of age at introduction to, and intake frequency of, fruit/vegetables and discretionary foods, and their interactions with food-approach and food-avoidance appetitive traits, on child diet quality at ages 3.5 & 5 years, controlling for income, education, and breastfeeding duration.

resultsHigher childhood diet quality was associated with later infant age at introduction to discretionary foods, lower intake of discretionary foods at ages 1 and 2 years, and greater intake of fruits and vegetables at age 2 years. Childhood diet quality was not associated with infant age at introduction to fruits and vegetables. Intake of fruits and vegetables at age 1 year interacted with food avoidance traits, indicating that the association of fruit and vegetable intake with childhood diet quality was magnified by greater food avoidance.

conclusionsExposure to discretionary food in the first two years of life was consistently associated with lower diet quality in early childhood regardless of the strength of appetitive traits. Findings suggest that improving child diet quality may require stronger efforts to limit exposure to discretionary foods in infancy.

Indexed as

DietFood PreferencesFruitVegetablesAdultAppetiteChild, PreschoolDiet, HealthyFeeding BehaviorFemaleFollow-Up StudiesHumansInfantInfant FoodInfant Nutritional Physiological PhenomenaMaleAppetitive traitsChildComplimentary feedingDiet qualityDiscretionary foodsFeedingFruitsInfantNoncore foodsVegetables

Identifiers

PMID39696455
PMCPMC11656963

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.