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Record W2194314948 · doi:10.5353/th_b5662863

Infant formula and diabetic risks : a systematic review

2015· review· en· W2194314948 on OpenAlexaboutno aff
Yongmei Wang

Bibliographic record

Venuenot available
Typereview
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusEndocrinology

Abstract

fetched live from OpenAlex

Background \nThere is growing evidence suggest the link between health and feeding practice in early postnatal period, which is a critical window for development. Given the rate of type 2 diabetes is increasing and infant feeding is modifiable, understanding the association between infant feeding and subsequent diabetic risks may provide a potential effective strategy to combat the epidemic. \n \nObjective \nSystematically review the association of infant formula feeding and subsequent diabetic risks. \n \nMethods \nThe PubMed electronic database was used for literature searching. English papers assessing the association between formula feeding and major clinical markers of type 2 diabetes including diagnosis of type 2 diabetes, fasting glucose concentration, HbA1c and insulin resistance were included. \n \nResults \nData were extracted from 15 studies (four randomized controlled trials, four cross-sectional studies and seven cohort studies). All four randomized controlled trials, three cross-sectional studies and three cohort studies reported higher diabetic risks in formula-fed participants comparing to breast-fed participants. No association between infant feeding and diabetic risks was reported in the remaining five studies. All but two included studies were conducted in western countries, including the USA, Canada, the UK, France and the Netherlands. The two studies in non-western setting also found higher fasting glucose concentration in formula-fed infants. Two RCTs suggested that lower protein formula had protective effects on diabetic risks compared with higher protein formula. Only one study assessed but found no dose-response association between infant formula consumption and later diabetic risks. Among all 11 observational studies, only 6of them adjusted for maternal socioeconomic position, which was an important confounder, especially in western countries where mothers of high socioeconomic position are more likely to choose breastfeeding and breastfeed for longer, and the risk of type 2 diabetes (T2DM) was lower among those with higher SEP, therefore the published benefits of breastfeeding on preventing T2DMin such settings might be overestimated if SEP was not adjusted. \n \nConclusion \nThe current evidence suggested that in comparison with breast-fed individuals, formula-fed individuals may have greater subsequent diabetic risks, indicated by higher fasting glucose, insulin resistance or lower insulin sensitivity. However, published evidence is not strong due to the possible residual confounding from SEP. Further epidemiological studies are needed to assess the potential health impact of infant feeding in subsequent health, especially in the Asia countries where breastfeeding maybe less socially pattern and the rate of diabetics is on an increase.

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)0.006
metaresearch head score (Gemma)0.027
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 score0.011
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0080.010
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.142
GPT teacher head0.436
Teacher spread0.294 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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