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Record W4414136833 · doi:10.1017/jns.2025.10037

Characterising nutritional composition and labelling of packaged infant foods in Canada

2025· article· en· W4414136833 on OpenAlexafffundabout
Maryam Kebbe

Bibliographic record

VenueJournal of Nutritional Science · 2025
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of New Brunswick
FundersMitacsUniversity of Cambridge
KeywordsLabellingSaturated fatFood productsFood labellingInfant formulaFood labelingSugarHealth professionalsNutrition Labeling

Abstract

fetched live from OpenAlex

Abstract This cross-sectional study evaluated the nutritional composition and labelling of commercial foods in Canada targeted to infants up to 18 months of age. Front-of-package labelling requirements were assessed based on daily values identified by Health Canada for saturated fatty acids, sugars, and sodium for children aged one year and older. Infant commercial food products were identified from online and in-person records of retailers across Canada. A total of 1,010 products were identified. Products aimed at older infants (12–18 months) contained significantly more calories, macronutrients, sugars, saturated fat, and trans fat compared to those targeted at younger infants (<12 months). In addition, 40% of products for children aged 12–18 months required a ‘high in sugar’ front-of-package label, while less required a ‘high in saturated fats’ (13%) and ‘high in sodium’ (5%) label. Organic products had higher added sugar and fibre, while they were lower in calories, total fat, saturated fat, and protein. Plant-based products, including vegetarian/vegan products, contained fewer calories, fat, saturated fat, trans fat, and protein, but more fibre. Gluten-containing products had more calories, macronutrients, sugar, fibre, and saturated fat. Non-GMO labelled products had more calories, carbohydrates, and sugar, but less saturated fat. Significant differences were observed for vitamins and minerals across food categories ( p < 0.05). Our findings offer valuable guidance for parents, caregivers, and healthcare professionals on infant nutrition, highlighting the importance of selecting foods that align with infants’ specific dietary needs.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.422
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.274
Teacher spread0.262 · 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 teacher head, 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

Citations1
Published2025
Admission routes3
Has abstractyes

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