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Record W4408785487 · doi:10.1080/03670244.2025.2480084

Timing of Complementary Feeding and Infant Growth Trajectories in Prospective Cohort Studies: A Systematized Review and Analysis of Socioecological Variation

2025· review· en· W4408785487 on OpenAlexaff
Mélanie Martin, Delaney J. Glass

Bibliographic record

VenueEcology of Food and Nutrition · 2025
Typereview
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsVariation (astronomy)CohortDemographyGeographyStatisticsSociologyMathematics

Abstract

fetched live from OpenAlex

Complementary feeding (CF) before 6 months of age is associated with both infant growth faltering and rapid growth. This disparity may reflect reverse causality and local norms. We conducted a systematized review of prospective studies examining infant growth and CF. We examined the potential for reverse causality and socioecological factors that appeared to influence feeding and growth outcomes. In 22 studies that met inclusion criteria, growth trajectories following earlier CF largely tracked prior growth. Earlier CF was generally associated with slower growth in lower resource populations, and more rapid growth in higher resource contexts. Local norms and caregivers' perceptions of growth were often discussed as factors impacting feeding decisions, but were not explicitly modeled. Future research may benefit from bioethnographic approaches that integrate contextual understanding of local dynamics to more comprehensively examine interactions between growth trajectories, caregiver perceptions, local norms, and health risks that influence CF timing and growth outcomes.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.681
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.371
Teacher spread0.320 · 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 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

Citations3
Published2025
Admission routes1
Has abstractyes

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