MétaCan
Menu
← Back to cohort
Record W3054447797 · doi:10.1093/pch/pxaa068.087

88 Vegetarian diet, growth and micronutrient stores in childhood: A prospective cohort study

2020· article· en· W3054447797 on OpenAlexaff
Laura Elliott, Jonathon L. Maguire, Catherine S. Birken, Charles Keown‐Stoneman, David J.A. Jenkins

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsInstitute for Clinical Evaluative SciencesUniversity of TorontoSickKids FoundationPublic Health OntarioHospital for Sick ChildrenSt. Michael's Hospital
Fundersnot available
KeywordsMicronutrientAnthropometryMedicineProspective cohort studyCohortCohort studyMicronutrient deficiencyVitamin D and neurologyPediatricsPhysiologyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Vegetarian diets are becoming increasingly popular among Canadians, yet few studies have evaluated the relationship between a vegetarian diet and childhood growth and nutritional status. Since vegetarian diets can be less energy dense and may have lower micronutrient content, we hypothesized that a vegetarian diet may affect childhood growth including lower adiposity and height, as well as lower micronutrient stores. Objectives The primary objective of this study was to evaluate the relationship between vegetarian diet and growth, including adiposity and height among healthy children 6 months to 10 years of age. Secondary objectives included the examination of the relationship between vegetarian diet and iron and vitamin D stores. We also explored whether cow’s milk intake or age modified the associations between vegetarian diet and growth, and micronutrient stores. Design/Methods This was a prospective cohort study of healthy children age 6 months to 10 years. The primary exposure was vegetarian diet measured by parent report. The primary outcome was BMI z-score. Secondary outcomes included height-for-age z-score, serum ferritin, and serum 25-hydroxyvitamin D. Anthropometric measures and venous blood samples were collected at health supervision visits by trained research assistants. Linear mixed effect modelling was used to determine the association between vegetarian diet, growth, and micronutrient stores. Results A total of 8912 children (n = 248 vegetarian) participated. In the adjusted models there was no evidence of an association between vegetarian diet and BMI z-score (p = 0.605, 95% CI: -0.06, 0.10), height-for-age z-score (p 0.057, 95% CI: -0.16, 0.002), serum ferritin (p = 0.768, 95% CI: -3.84, 2.84), or 25-hydroxyvitamin D (p = 0.204, 95% CI: -2.14, 0.46). The relationship between vegetarian diet and serum 25-hydroxyvitamin D was modified by child age. Volume of cow’s milk intake did not modify the relationships between vegetarian diet and BMI z-score, height-for-age z-score, serum ferritin, or 25-hydroxyvitamin D. In a secondary analysis, we examined adiposity through weight status categories and found children with a vegetarian diet had higher odds of being underweight (BMI z-score <-2) (OR 1.9, p = 0.006, 95% CI 1.21-3.00). Conclusion In this prospective cohort study, evidence of an association between vegetarian diet and lower BMI z-score, height-for-age z-score, and micronutrient stores was not found. Our results suggest children with vegetarian diets had higher odds of being underweight. Future research is needed to evaluate dietary factors and patterns of children following vegetarian diets, especially those with an underweight weight status.

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)0.001
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 score0.137
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.209
Teacher spread0.204 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuePaediatrics & Child Health→Same topicAgriculture Sustainability and Environmental Impact→French-language works237,207→