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Record W4406142099 · doi:10.1016/j.ajcnut.2025.01.002

Determinants of maternal and infant omega-3 status at 3 months postpartum: findings from the APrON longitudinal cohort study

2025· article· en· W4406142099 on OpenAlexafffundabout
Jaqueline Munhoz, Nour Wattar, Susan Goruk, Mohammadreza Pakseresht, Megan Jarman, Laura Forbes, Rhonda C. Bell, Fatheema B. Subhan, Catherine J. Field

Bibliographic record

VenueAmerican Journal of Clinical Nutrition · 2025
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversity of GuelphUniversity of Alberta
FundersAlberta Canola Producers CommissionAlberta InnovatesCanada Excellence Research Chairs, Government of CanadaAlberta Heritage Foundation for Medical ResearchDairy Farmers of CanadaUniversity of AlbertaCancer Research Institute
KeywordsCohortLongitudinal studyMedicineCohort studyOmegaObstetricsPregnancyDemographyPediatricsPhysicsSociologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Omega-3 long-chain-polyunsaturated fatty acids (LCPUFAs) are important dietary components for maternal and infant health during pregnancy and lactation. OBJECTIVES: This study investigated determinants of maternal and infant LCPUFAs status at 3 mo postpartum and the relationship between maternal serum, maternal milk, and infant LCPUFAs. METHODS: This cross-sectional study included mothers (n = 1481) and their offspring (n = 526) at 3 mo postpartum from the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort. Maternal dietary intake (24-h recall), blood samples from mothers and infants, and maternal milk were collected. Fatty acid composition (relative % of total fatty acids) was determined by gas-liquid chromatography. Linear regression analyses explored associations between diet, sociodemographic factors, and fatty acid status. RESULTS: In a multivariable-adjusted analysis, maternal total dietary intake (supplement + food) was positively associated with the percentage of DHA (standardized ß [Sβ] = 0.158; ß = 0.394; 95% [confidence interval] CI: 0.192, 0.558; P < 0.001) in maternal serum phospholipids. Similar associations were found for DHA and eicosapentaenoic acid in maternal milk and plasma phospholipids of infants. Prepregnancy body mass index (BMI) was negatively associated with DHA (Sß = -0.073; ß = -0.003; 95% CI: -0.006, -0.001; P = 0.008) and positively associated with total saturated fatty acids (Sß = 0.086; ß = 0.111; 95% CI: 0.042, 0.180; P = 0.002) in maternal milk. Infants receiving formula combination with maternal milk had lower percentage of DHA (Sß = -0.177; ß = -0.390; 95% CI: -0.604, -0.175; P < 0.001) and arachidonic acid (Sß = -0.106; ß = -0.595; 95% CI: -1.122, -0.067; P = 0.027) in their plasma phospholipids compared with those who fed exclusively maternal milk. CONCLUSIONS: Maternal total dietary intake and prepregnancy BMI are independently associated with their serum fatty acid status during lactation, whereas maternal diet, milk fatty acid composition, and lactation status are important determinants of infant n-3 LCPUFAs fatty acid status. Future research should investigate the impact of these differences in fatty acid status on infant health 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 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)0.001
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 score0.377
Threshold uncertainty score0.749

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.032
GPT teacher head0.403
Teacher spread0.371 · 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

Citations2
Published2025
Admission routes3
Has abstractyes

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