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Record W7132933923

Timing of Introduction to Solid Food, Growth and Nutrition Risk in Later Childhood

2021· dissertation· W7132933923 on OpenAlexaboutno aff
Curtis Joseph D'Hollander

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsOddsObesityBody mass indexOdds ratioMalnutritionLongitudinal studyChildhood obesity
DOInot available

Abstract

fetched live from OpenAlex

It is recommended in Canada to introduce solid food at 6 months of age in keeping with the recommendations from the World Health Organization. The European Society for Paediatric Nutrition recommends solid food be introduced between 4 and 6 months of age. Few studies have differentiated between this period. In this thesis I aimed to evaluate the relationship between the timing of introduction to infant cereal as the first solid food between 4 and 6 months and growth and nutrition risk. Through a longitudinal study of healthy children participating in the TARGet Kids! cohort, introduction to infant cereal at 4 months, compared to 6 months, was associated with higher body mass index z-score and higher odds of obesity through 10 years of age, worse eating behaviour between 18 months and 5 years and minimal differences in height. These findings support guidelines for introducing solid food around 6 months of age.

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)0.002
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 score0.087
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.010
GPT teacher head0.295
Teacher spread0.285 · 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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