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Record W3120642772 · doi:10.1016/j.nut.2021.111143

Breast milk EPA associated with infant distractibility when EPA level is low

2021· article· en· W3120642772 on OpenAlexaff
Keyu Jia, Feng Yao, J. Thomas Brenna, Zhong‐Cheng Luo, Jing Zhao, Hong Li, Peiqin Li, Qiuyi Zhang, Qianyu Zhao, Qi Dai, Yan Zhong, Tim T. Lambers, Hong Zhang, Hong Zhou, Ying Gao

Bibliographic record

VenueNutrition · 2021
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteUniversity of Toronto
FundersBeijing Higher Education Young Elite Teacher ProjectChinese Academy of SciencesNational Natural Science Foundation of ChinaMead Johnson Nutrition
KeywordsBreast milkPolyunsaturated fatty acidBreastfeedingEicosapentaenoic acidInfant formulaMedicineBreast feedingPhysiologyLactationFood sciencePediatricsFatty acidPregnancyBiologyBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVES: Dietary ω-3 polyunsaturated fatty acids (ω-3 PUFAs) may affect infants' executive function (EF), although it remains unclear whether this may be the effect of total ω-3 PUFAs or any specific ω-3 PUFA. We assessed the associations between ω-3 PUFAs in breast milk and EF in infants at 8 mo of age. METHODS: Milk samples from the mothers of 120 breast-fed infants were collected at 42 d and 8 mo postpartum in Beijing, China. Infant's EF was evaluated by planning tasks and A-not-B tasks, including working memory, distractibility, and inhibition of prepotent response at age 8 mo. RESULTS: Eicosapentaenoic acid (EPA) concentrations in breast milk were significantly higher at 42 d than 8 mo postpartum. Breast milk EPA levels at both 42 d (P = 0.037) and 8 mo (P = 0.005) postpartum were negatively associated with infant distractibility when EPA levels were low (< 0.05%). No significant association was observed for other ω-3 PUFAs with infant EF scores. CONCLUSIONS: Our results suggest a beneficial effect of higher EPA in breast milk (improving infant's attention) when its levels are below a certain threshold.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.041
GPT teacher head0.307
Teacher spread0.267 · 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.

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

Citations9
Published2021
Admission routes1
Has abstractyes

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