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Record W2325013734 · doi:10.3148/75.1.2014.35

Children’s Food Intake: A Comparison of Children’s and Parents’ Reports

2014· article· en· W2325013734 on OpenAlexvenueno aff
Carine Vereecken, Lea Maes

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2014
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsnot available
FundersFonds Wetenschappelijk Onderzoek
KeywordsFlemishTest (biology)MedicinePsychologyPediatricsDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

PURPOSE: In longitudinal studies, parents are the most accurate source of information on young children's dietary intake; for older children, questioning children themselves may be more appropriate. However, if parental reports for young children and self-reports of older children are to be used in the same analyses, the measures must be comparable. METHODS: During school hours, fourth and sixth graders in 14 Flemish (Belgium) primary schools completed an online 15-item food frequency questionnaire with a retest questionnaire one to two weeks later; parents completed a paper-and-pencil or online questionnaire. Test-retest data were available for 286 children; children's tests could be matched to parents' reports for 275 children. RESULTS: On average, test-retest correlations were 0.68 (grade 4: 0.63; grade 6: 0.71) and correlations between children's and parents' reports were 0.44 (grade 4: 0.39; grade 6: 0.49). No systematic differences were found between the test and retest. Comparison of children's and parents' reports resulted in significant differences for six of the 15 items. CONCLUSIONS: Low consensus between parents' and children's reports for several items may impede comparisons at a group level. Additionally, the results indicate more optimal dietary assessment in sixth graders.

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)0.006
metaresearch head score (Gemma)0.019
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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.055
GPT teacher head0.373
Teacher spread0.318 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Dietetic Practice and ResearchSame topicNutritional Studies and DietFrench-language works237,207