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Record W4307055230 · doi:10.1093/pch/pxac100.051

52 Underweight in the first 2 years of life and growth in later childhood

2022· article· en· W4307055230 on OpenAlexaff
Courtney A. South, Charles Keown‐Stoneman, Catherine S. Birken, Stanley Zlotkin, Vasanti Malik, Jonathon L. Maguire

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsUnderweightBody mass indexMedicineDemographyPediatricsCohort studyEarly childhoodLife course approachGerontologyPsychologyOverweightDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract Background Underweight occurs when caloric intake is insufficient to maintain growth. While it has long been assumed that underweight in the first 2 years of life is associated with lower growth potential in later childhood, longer term growth outcomes in high income countries are unclear. Objectives The primary objective was to evaluate the relationship between underweight in the first 2 years of life and body mass index z-score (zBMI) in later childhood. Secondly, we examined the relationship between underweight in the first 2 years of life and weight-for-age z-score (WAZ) and height-for-age z-score (HAZ) in later childhood, and how sex and the zBMI growth trajectory in the first 2 years of life modify these associations. Design/Methods This was a prospective cohort study conducted through The Applied Research Group for Kids (TARGetKids!) practice-based research network. Healthy children 0-10 years of age were included. The primary exposure was underweight in the first 2 years of life using zBMI <-2 as per the World Health Organization (WHO). The primary outcome was zBMI, and secondary outcomes were WAZ and HAZ between 2 and 10 years of age. Linear mixed effects models were used for the primary and secondary analysis to take into account multiple growth measures over time. Interaction terms for sex, and the zBMI growth trajectory in the first 2 years of life were used to explore effect modification. Results Among the 5,803 children included in the primary analysis, the mean age was 4.07 months, and 52.2% were male at baseline. In adjusted models, underweight in the first 2 years of life was associated with lower zBMI, lower WAZ, and higher odds of underweight at 2, 5, and 10 years of age (p <0.0001). Underweight in the first 2 years was associated with a lower HAZ at 2 years of age (p<0.0001), but not 5 (p=0.08), or 10 years of age (p=0.8). Females with underweight had lower zBMI and WAZ at 5 and 10 years of age, and lower HAZ at 10 years of age compared to males with underweight (p<0.05). Children with underweight and lower growth trajectory in the first 2 years had lower zBMI, WAZ, HAZ, and higher odds of underweight at 2, 5, and 10 years of age compared to children who did not have underweight (p<0.05). Children with underweight and high growth trajectory in the first 2 years had similar zBMI, WAZ, higher HAZ and lower odds of overweight at 10 years of age (p<0.05), compared to children who did not have underweight. Conclusion Underweight in the first 2 years of life was associated with lower growth in later childhood. These relationships were amplified for females and children with underweight who had low growth trajectory in the first 2 years of life and were attenuated among children with underweight who had high growth trajectory in the first 2 years of life.

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)0.002
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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.243
Teacher spread0.233 · 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
Published2022
Admission routes1
Has abstractyes

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