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Record W4403679817 · doi:10.1093/pch/pxae067.079

80 Yearly change in child zBMI and the COVID-19 pandemic in Canada: A cohort study

2024· article· en· W4403679817 on OpenAlexaboutno aff
Joseph Jamnik, Charles Keown‐Stoneman, Laura N. Anderson, Jonathon L. Maguire, Catherine S. Birken

Bibliographic record

VenuePaediatrics & Child Health · 2024
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Cohort2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyMedicineOutbreakInfectious disease (medical specialty)Disease

Abstract

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Abstract Background Emerging literature suggests accelerated weight gain in children during the pandemic; however, data from Canadian children are limited and individual factors underlying this trend remain unclear. Objectives To determine whether the COVID-19 pandemic was associated with increased yearly change in age- and sex-standardized body mass index (zBMI) in Canadian children and whether staying at home during the pandemic was associated with increased change in zBMI per year. Design/Methods A repeated-measures longitudinal study was conducted with children from an existing practice-based research network in Canada age 1-18y with at least one zBMI measurement pre- and post-onset of the pandemic. Height and weight were measured through primary care office visits and supplemented with at-home parent measurements post-pandemic. Weekly questionnaires were used to measure days stayed at home per week. Piecewise linear mixed effects models accounting for repeated measures through random effects were used to assess yearly change in zBMI. A knot location was placed at the start of the pandemic (March 14, 2020) to compare slopes pre- and post-pandemic onset. Similar mixed effects models were used to explore the association between days at home per week and change in zBMI post-pandemic onset. Stratification by sex and a sensitivity analysis in children with clinic-measured anthropometrics were explored. All models were adjusted for covariates identified a priori. Results In the overall population (n=849 children, 5070 observations), there was no significant difference in slope for yearly change in zBMI post-pandemic (Mar 2020-Sept 2022) compared to prior (Oct 2004-Mar 2020) in fully adjusted models accounting for child age, sex, maternal ethnicity, maternal BMI, family income, birthweight, breastfeeding duration, anthropometrics measurement method (clinic vs parent) and pre-COVID zBMI (post-COVID β=0.03; 95%CI -0.02,0.08; pre-COVID β=0.009; 95%CI-0.009,0.027; p-interaction=0.46). In children with clinic-measured anthropometrics (n=849, 4318 observations), there was a significant increase in yearly change in zBMI after the onset of the pandemic in the fully adjusted model (β=0.07; 95%CI 0.02,0.12) compared to prior (β=0.004; 95%CI -0.01,0.02; p-interaction=0.01). This was driven by changes in boys (post-COVID β=0.08; 95%CI 0.007,0.15; pre-COVID β=-0.003; 95%CI-0.03,0.02; p-interaction 0.04). In boys with clinic-measured anthropometrics post-pandemic onset (n=77 children, 85 observations), there was marginal evidence for increase in yearly zBMI change for every additional day at home per week in the fully adjusted model (β=0.16; 95%CI -0.006,0.32; p=0.06). Conclusion The COVID-19 pandemic was associated with accelerated increase in zBMI per year in Canadian children with clinic-measured height and weight, particularly among boys. Potential competing interests Funding was obtained by J.J. Joseph Jamnik for consultant work for Nutrigenomix Inc, a University of Toronto start-up which offers evidence-based genetic testing for personalized nutrition. Consulting work terminated July 1, 2023. This relationship is unrelated to the work submitted. Research funding: Understanding and mitigating the impacts of the COVID-19 pandemic on children, youth and families in Canada - Operating Grant. CIHR grant 468613. 2021-2024.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.349
Teacher spread0.308 · 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 teacher head, 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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