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Record W4387345739 · doi:10.1016/j.advnut.2023.09.015

Human Milk Bioactive Components and Child Growth and Body Composition in the First 2 Years: A Systematic Review

2023· review· en· W4387345739 on OpenAlexafffund
Meredith Brockway, Allison I Daniel, Sarah M. Reyes, Julia M. Gauglitz, Matthew Granger, Joann M. McDermid, Deborah Chan, Rebecca Refvik, Karanbir K. Sidhu, Suad Musse, Pooja P. Patel, Caroline Monnin, Larisa Lotoski, Donna T. Geddes, Fyezah Jehan, Patrick Kolsteren, Lars Bode, Kamilla G. Eriksen, Lindsay H. Allen, Daniela Hampel, Natalie Rodriguez, Meghan B. Azad

Bibliographic record

VenueAdvances in Nutrition · 2023
Typereview
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsHospital for Sick ChildrenSickKids FoundationCentre for Global Health ResearchUniversity of TorontoUniversity of ManitobaChildren's Hospital Research Institute of ManitobaMcGill UniversityUniversity of Calgary
FundersCanadian Institutes of Health ResearchCanada Research ChairsNational Institutes of HealthMedelaMitacsCanada Foundation for InnovationGarfield Weston FoundationCanadian Nurses FoundationFamily Larsson‐Rosenquist FoundationNational Health and Medical Research CouncilCanadian Institute for Advanced ResearchChildren’s Hospital Foundation of ManitobaBill and Melinda Gates Foundation
KeywordsBreastfeedingMicronutrientConfoundingAnthropometryMedicineCochrane LibraryMEDLINEBreast milkSystematic reviewInfant formulaBiologyMeta-analysisPediatricsInternal medicinePathology

Abstract

fetched live from OpenAlex

Human milk (HM) contains macronutrients, micronutrients, and a multitude of other bioactive factors, which can have a long-term impact on infant growth and development. We systematically searched MEDLINE, EMBASE, Cochrane Library, Scopus, and Web of Science to synthesize evidence published between 1980 and 2022 on HM components and anthropometry through 2 y of age among term-born infants. From 9992 abstracts screened, 141 articles were included and categorized based on their reporting of HM micronutrients, macronutrients, or bioactive components. Bioactives including hormones, HM oligosaccharides (HMOs), and immunomodulatory components are reported here, based on 75 articles from 69 unique studies reporting observations from 9980 dyads. Research designs, milk collection strategies, sampling times, geographic and socioeconomic settings, reporting practices, and outcomes varied considerably. Meta-analyses were not possible because data collection times and reporting were inconsistent among the studies included. Few measured infant HM intake, adjusted for confounders, precisely captured breastfeeding exclusivity, or adequately described HM collection protocols. Only 5 studies (6%) had high overall quality scores. Hormones were the most extensively examined bioactive with 46 articles (n = 6773 dyads), compared with 13 (n = 2640 dyads) for HMOs and 12 (n = 1422 dyads) for immunomodulatory components. Two studies conducted untargeted metabolomics. Leptin and adiponectin demonstrated inverse associations with infant growth, although several studies found no associations. No consistent associations were found between individual HMOs and infant growth outcomes. Among immunomodulatory components in HM, IL-6 demonstrated inverse relationships with infant growth. Current research on HM bioactives is largely inconclusive and is insufficient to address the complex composition of HM. Future research should ideally capture HM intake, use biologically relevant anthropometrics, and integrate components across categories, embracing a systems biology approach to better understand how HM components work independently and synergistically to influence infant growth.

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)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.009
Bibliometrics0.0090.012
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
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 head0.034
GPT teacher head0.365
Teacher spread0.332 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations51
Published2023
Admission routes2
Has abstractyes

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