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Record W4398770778 · doi:10.1016/j.orcp.2024.05.002

Intrapartum antibiotic use is associated with higher child body mass index (BMI) z-score at 4 years of age

2024· article· en· W4398770778 on OpenAlexafffundabout
Nicole A. Cho, Gerald F. Giesbrecht, Deborah Dewey, Raylene A. Reimer

Bibliographic record

VenueObesity Research & Clinical Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsHotchkiss Brain InstituteAlberta Children's HospitalUniversity of Calgary
FundersAlberta Heritage Foundation for Medical ResearchCanadian Institutes of Health ResearchAlberta Innovates - Health Solutions
KeywordsMedicineBody mass indexPregnancyAntibioticsPediatricsObesityCohortProspective cohort studyCohort studyObstetricsInternal medicine

Abstract

fetched live from OpenAlex

Early life antibiotic exposure may increase obesity risk. We investigated if prenatal, intrapartum, or childhood antibiotic use is associated with child zBMI score at 4 yrs of age. We included data from the Alberta Pregnancy Outcomes and Nutrition (APrON) study, a prospective cohort study, on maternal and child antibiotic exposure and clinic measures of height and weight at age 4 (n = 408). Prenatal and childhood antibiotic exposure was not associated with zBMI score. Maternal intrapartum antibiotic exposure was associated with a zBMI score increase of 0.12 (95 % CI; 0.04, 0.46) in children at 4 years of age compared to non-exposure intrapartum.

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 score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.139
GPT teacher head0.460
Teacher spread0.321 · 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
Published2024
Admission routes3
Has abstractyes

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