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Breastfeeding, infant gut microbiota, and early childhood overweight (637.4)

2014· article· en· W1826601554 on OpenAlexaffabout
Meghan B. Azad, Theodore Konya, David S. Guttman, Catherine J. Field, Malcolm R. Sears, Allan B. Becker, James Scott, Anita L. Kozyrskyj

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of ManitobaMcMaster UniversityPublic Health OntarioUniversity of Alberta
Fundersnot available
KeywordsBreastfeedingOverweightMedicineGut floraChildhood obesityBreast feedingObesityPediatricsDemographyInternal medicineImmunology

Abstract

fetched live from OpenAlex

RATIONALE: Breastfeeding may be protective against obesity, but existing evidence is inconsistent. The gut microbiota, which itself is shaped by breastfeeding and other early‐life exposures, may also contribute to the development of obesity. OBJECTIVE: To determine whether breastfeeding is protective against early childhood overweight, and to explore related associations with the gut microbiota. METHODS: The study involved 346 full term infants from the Canadian Healthy Infant Longitudinal Development (CHILD) national birth cohort. Mothers reported breastfeeding by standardized questionnaire, and child overweight was defined by weight‐for‐length z‐score (WFLz) according to World Health Organization standards. In a subset of 158 infants, the gut microbiota was characterized by Illumina 16S rRNA sequencing of fecal samples collected at 3 months. RESULTS: Breastfeeding rates (any breastfeeding) were 81%, 73%, and 46% at 3, 6 and 12 months, respectively. By 12 months, 16% of children were at risk for overweight (> 85th percentile WFLz). After adjusting for birth mode and maternal overweight, breastfeeding >6 months was associated with a significantly lower risk of child overweight (OR 0.35, 95%CI 0.18‐0.68). Gut microbiota composition and diversity were strongly influenced by breastfeeding (p<0.01 by permutational multivariate ANOVA), and were also associated with child overweight: breastfeeding promoted lower diversity and decreased abundance of Clostridiales (both p<0.01), characteristics which subsequently predicted a reduced risk of overweight (both p<0.05). CONCLUSIONS: Our results suggest that breastfeeding beyond 6 months protects against early childhood overweight, possibly by modifying the gut microbiota. These findings are relevant to infant nutrition‐based obesity prevention strategies. Future research will incorporate extended microbiota analyses, detailed nutrition assessments, and longitudinal measures of obesity throughout childhood. Grant Funding Source : Supported by the Candian Institutes of Health Research and AllerGen NCE.

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 score0.041
Threshold uncertainty score0.081

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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".

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Citations2
Published2014
Admission routes2
Has abstractyes

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