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Record W4408768720 · doi:10.1016/j.tjnut.2025.03.022

Serum 25-Hydroxyvitamin D and Intact Parathyroid Hormone as Functional Biomarkers of Bone Mass in Early Childhood

2025· article· en· W4408768720 on OpenAlexafffund
Karen M O’Callaghan, Farzana Fariha, Marium H Nagaria, Alison Dasiewicz, Jennifer Harrington, Abdullah Al Mahmud, Steven A. Abrams, Tahmeed Ahmed, Daniel R. Moore, Daniel Roth

Bibliographic record

VenueJournal of Nutrition · 2025
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoSickKids Foundation
FundersCanadian Institutes of Health ResearchBill and Melinda Gates Foundation
KeywordsParathyroid hormoneEndocrinologyBone massInternal medicineVitamin D and neurologyHormoneMedicinePhysiologyCalciumOsteoporosis

Abstract

fetched live from OpenAlex

BACKGROUND: The 25-hydroxyvitamin D (25(OH)D) concentration at which parathyroid hormone (PTH) concentration plateaus has been considered to benchmark vitamin D deficiency. However, in young children, there is limited evidence for a suppression point in the 25(OH)D-PTH relationship or its relevance to bone mass accrual. OBJECTIVES: To determine whether the threshold of 25(OH)D at PTH suppression in young children is corroborated by associations of 25(OH)D (or PTH) with bone mineral content (BMC) and areal bone mineral density (aBMD). METHODS: In a cross-sectional secondary analysis of data from the BONe and mUScle health in Kids (BONUSKids) study of 4-y-old children in Bangladesh, serum 25(OH)D and intact PTH (iPTH) were analyzed by liquid chromatography-tandem mass spectrometry and a chemiluminescent immunoassay, respectively. BMC and aBMD were measured by dual-energy X-ray absorptiometry. Associations between 25(OH)D, iPTH, and bone outcomes (BMC, BMC z-score, aBMD, and aBMD z-score) were modeled using multivariable-adjusted linear regression and spline models. Model fit was compared using Akaike's Information Criteria. RESULTS: Of 534 participants (51% female), 28% had 25(OH)D concentrations <25 nmol/L and 34% had iPTH >6.7 pmol/L. Model fit of the inverse relationship between 25(OH)D and iPTH was optimized with an inflection point at 25 nmol/L [<25 nmol/L: -0.16 pmol/L per 1 nmol/L increase in 25(OH)D; 95% confidence interval (CI): -0.22, -0.10; P < 0.001), above which the slope attenuated (≥25 nmol/L: -0.02 pmol/L; 95% CI: -0.04, -0.003; P = 0.019]. However, the positive linear associations between 25(OH)D and bone mass outcomes were monotonic (P < 0.05), and iPTH was not associated with any bone outcome in adjusted models (P > 0.05 for all). Associations were similar in males and females. CONCLUSIONS: Among 4-y-old children in Dhaka, Bangladesh, we did not identify a 25(OH)D threshold to define vitamin D deficiency based on its association with bone mass. However, efforts to raise 25(OH)D to ≥25 nmol/L may be warranted based on the relatively strong inverse association of 25(OH)D with iPTH below this threshold. This trial was registered at clinicaltrials.gov as #NCT03537443.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.011
GPT teacher head0.273
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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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