Evidence map›Paper›PMID 40682915›Full record

ArticleInfant behavior & development2025

Longitudinal study of early bite profiles as predictors of eating behaviors in children: Food responsiveness and emotional overeating.

Sehyun Ju, Samantha Iwinski, Qiujie Gong, Ledan Yang, Kelly K Bost

Abstract read
In one paragraph

Article in Infant behavior & development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 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

5 authors.

Sehyun JuDepartment of Human Development and Family Studies, University of Illinois, Urbana, IL, United States. Electronic address: sju3@illinois.edu.
Samantha IwinskiDepartment of Human Development and Family Studies, University of Illinois, Urbana, IL, United States. Electronic address: iwinski2@illinois.edu.
Qiujie GongHuman Development and Family Science, Bowling Green State University, Bowling Green, OH, United States. Electronic address: qiujieg@bgsu.edu.
Ledan YangDepartment of Psychological Science, University of California, Irvine, CA, United States. Electronic address: ledany1@uci.edu.
Kelly K BostDepartment of Human Development and Family Studies, University of Illinois, Urbana, IL, United States. Electronic address: kbost@illinois.edu.

Funding

Dietary and microbial predictors of childhood obesity riskR01DK107561 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CHAPKIN, ROBERT STEPHEN, DONOVAN, SHARON MARIE · 2017 to 2021
$2.8M
NIDDK NIH HHS R01 DK107561
6 · The paper itself

Abstract

This study investigates eating profiles in toddlers, characterized by observed latency to first bite and bite frequency during naturalistic family mealtimes, and their predictive value for parent-reported food responsiveness and emotional overeating. The sample included 109 children and their families participating in a longitudinal birth cohort study in the United States. Video-recorded family mealtimes at 18-24 months were systematically coded for latency to first bite and bite speed. Food responsiveness and emotional overeating were measured using the Child Eating Behavior Questionnaire at 36 months. Latent Profile Analysis using Gaussian finite mixture modeling identified three profiles labeled as fast-initiating, slow eaters; slow-initiating, slow eaters; and fast-initiating, fast eaters. Linear regression revealed that early bite profiles predict food responsiveness and emotional overeating at 36 months. Slow-initiating, slow eaters exhibited significantly higher food responsiveness than fast-initiating, slow eaters, while fast-initiating, fast eaters and slow-initiating, slow eaters had significantly higher emotional overeating than fast-initiating, slow eaters. These findings highlight the potential for early interventions targeting children's bite profiles to identify those at higher risk for dysregulated eating behaviors, thereby promoting healthier eating patterns.

Indexed as

Child BehaviorEmotionsFeeding BehaviorHyperphagiaChild, PreschoolFemaleHumansInfantLongitudinal StudiesMaleBite latencyBite speedEating behaviorsEating profilesEmotional overeatingFamily mealtimeFood responsiveness

Identifiers

PMID40682915
PMCPMC13160594

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.