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Record W3167443220 · doi:10.1093/cdn/nzab046_114

Young Children’s Food-Related Receptive Language and Acceptance of a Novel Food

2021· article· en· W3167443220 on OpenAlexaboutno aff
Allison Shapiro, Abigail Flesher, Kendal Lattanzi, Renee Charlifue-Smith, Susan L. Johnson

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsToddlerReceptive languagePsychologyDevelopmental psychologyPerceptionVocabularyLanguage developmentExploratory researchMedicineLinguistics

Abstract

fetched live from OpenAlex

Little inquiry has been undertaken regarding the interface of children's development of eating behaviors and their understanding of food-related (FR) words. Thus, we explored the relationship between young children's understanding of FR vocabulary (FR receptive language) and their acceptance of a novel food. Caregivers (n = 35) and children ages 7–24 mo (n = 12 infants age <12 mo; n = 23 toddlers age ≥12 mo) participated in a study in which caregivers offered a novel food (nutrition supplement added to infant oatmeal) to their children. Novel food acceptance was measured as g consumed. The Communicative Development Inventory assessed caregiver perceptions of infants’ understanding of 154 words related to food and eating (FR receptive language). A linear regression model with FR receptive language, age (toddler vs. infant) and a FR receptive language-by-age interaction was used to predict acceptance of the novel food. Covariates included infant sex and BMI z-score and a p < 0.1 was chosen for this exploratory study. As expected, caregivers reported that infants understood fewer words as compared to toddlers (median [IQR]; 7 [13] vs. 33 [46], respectively). The relationship between FR receptive language and novel food acceptance differed by age (F = 8.08, p = 0.01). Among toddlers, greater FR receptive language (more food-related words understood) was associated with greater novel food acceptance (β [95% CI], 0.22g [−0.04, 0.49], p = 0.09). In younger infants, greater FR receptive language was associated with lower novel food acceptance (−0.80g [−1.53, −0.07], p = 0.03). Receptive language facilitates children's understanding of their environment and contributes to shaping their behavior. Our preliminary findings suggest that greater FR receptive language may facilitate acceptance of novel food in toddlers. Younger infants were perceived to understand few words and may not have enough receptive language to positively influence food acceptance. This work was supported by the Government of Canada, as part of the Business Platform for Nutrition Research (BPNR) hosted by the Global Alliance for Improved Nutrition.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.301
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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