Evidence map›Paper›PMID 40040328›Full record

ArticleObesity (Silver Spring, Md.)2025

Food-related implicit associations predict self-reported eating behaviors and dietary habits in large US samples.

Matt B Siroty, Julia M P Bittner, Jennifer L Howell, Bobby K Cheon

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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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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

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5 · Who and what money

Authors and funding

4 authors.

Matt B SirotyDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Julia M P BittnerDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-6407-5579
Jennifer L HowellDepartment of Psychological Sciences, University of California, Merced, Merced, California, USA.
Bobby K CheonDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-6815-619X

Funding

Psychosocial influences on appetite and eating behaviorZIAHD009004 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI CHEON, BOBBY · 2022 to 2025
$8.1M
Eunice Kennedy Shriver National Institute of Child Health and Human Development ZIAHD009004-01656312Intramural NIH HHS Z99 HD999999Intramural NIH HHS ZIA HD009004
6 · The paper itself

Abstract

objectiveImplicit associations, i.e., automatically activated attitudes and intuitions, may contribute to isolated food choices and body weight. Studies of food-related implicit associations have yielded mixed results and have not explored their role in eating behaviors or dietary patterns. We examined implicit associations toward the palatability and acceptability (vs. shame) of healthy food and their relationships with self-reported eating behaviors (eating in absence of hunger) and dietary patterns (fruit, vegetable, and sugar-sweetened beverage consumption) and socioeconomic indicators.

methodsTwo US samples (i.e., Palatable Food, n = 11,504; and Acceptable Food, n = 12,128) from Project Implicit Health were analyzed. Implicit associations were measured with Implicit Association Tests. Linear and logistic regressions examined associations of implicit and related explicit self-reported responses (perceived healthy eating and acceptability of healthy food, respectively) with eating behaviors, dietary patterns, and socioeconomic indicators.

resultsOne-sample t tests revealed health-favoring implicit palatability and acceptability associations. Implicit associations predicted healthier self-reported eating behaviors and dietary patterns independent of explicit responses. There were inconsistent associations with socioeconomic indicators.

conclusionsHealth-favoring implicit food-related associations uniquely contribute to healthier eating behaviors and dietary patterns. These health-favoring associations could be a promising, yet underrecognized, target to promote healthier diets in the United States.

Indexed as

DietDiet, HealthyFeeding BehaviorFood PreferencesAdolescentAdultFemaleFruitHumansMaleMiddle AgedSelf ReportSocioeconomic FactorsUnited StatesVegetablesYoung Adult

Identifiers

PMID40040328
PMCPMC11945578

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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 OpenQuestion graph.