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Record W2761369813 · doi:10.1093/pch/19.6.e35-98

100: Non-Dairy Milk Consumption is Associated with Lower Serum 25-Hydroxyvitamin D in Early Childhood

2014· article· en· W2761369813 on OpenAlexaffabout
GJ Lee, CS Birken, PC Parkin, Gerald Lebovic, Y Chen, MR L'abbe, JL Maguire

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineFortificationVitamin D and neurologyAnimal scienceUnivariate analysisFood scienceMultivariate analysisBiologyInternal medicine

Abstract

fetched live from OpenAlex

Vitamin D fortification of cow's milk is the main dietary source of vitamin D in early childhood. The consumption of non-dairy milk, such as plant-based milk beverages and goat's milk is increasing. Vitamin D fortification of non-dairy milk is voluntary in North America. We hypothesize that the consumption of non-dairy milk may be associated with lower 25-hydroxyvitamin D in early childhood. For our primary objective, we aimed to determine if there is an association between daily volume of non-dairy milk consumption and serum 25-hydroxyvitamin D in healthy young Canadian children. For our secondary objective we aimed to explore whether cow's milk consumption modifies this relationship. Children attending one of seven pediatric or family medicine primary care practices were recruited during routine primary healthcare. For our primary analysis, a multiple linear regression model was developed to test the association between daily volume of non-dairy milk consumption and 25-hydroxyvitamin D, adjusted for age, gender, z-BMI, season, vitamin D supplementation, skin pigmentation, and daily outdoor play time. To explore whether cow's milk modifies this relationship, the interaction between non-dairy milk and cow's milk consumption was included in this model. A total of 2831 children were included in the analysis. Mean age was 2.9 years, 53% were male, 53% were taking a vitamin D containing supplement, 87% of children were consuming cow's milk and 13% of children consumed non-dairy milk daily. In the univariate analysis, each cup of non-dairy milk consumed per day was associated with a 2.3 nmol/L (P=0.005, 95% CI 1.0, 4.9) lower mean 25-hydroxyvitamin D concentration. Multiple linear regression, adjusted for clinically relevant covariates, revealed that each additional 250 ml cup of non-dairy milk was associated with a 3.8 nmol/L (95% CI 1.0 to 8.6; P=0.01) lower 25-hydroxyitmian D among children who drink cow's milk, and a non-significant increase in 25-hydroxyvitmain D of 0.3 nmol/L (95% CI −3.0 to 3.1; P=0.6) among children who do not drink cow's milk. Non-dairy milk consumption is associated with a lower 25-hydroxyvitamin D level in early childhood. This relationship appears to be modified by cow's milk consumption, suggesting that consumption of lower vitamin D containing non-dairy milk may be replacing consumption of higher vitamin D containing cow's milk.

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)0.000
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 score0.474
Threshold uncertainty score0.943

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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
Published2014
Admission routes2
Has abstractyes

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