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Record W4225873169 · doi:10.1016/j.ymgmr.2022.100865

Breastfeeding practices for infants with inherited metabolic disorders: A survey of registered dietitians in the United States and Canada

2022· article· en· W4225873169 on OpenAlexaboutno aff
Allison Buckingham, Aileen Kenneson, Rani H. Singh

Bibliographic record

VenueMolecular Genetics and Metabolism Reports · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsBreastfeedingMedicineDemographicsBreast milkPediatricsFamily medicineBreast feedingInfant feedingLactationNewborn screeningPregnancyDemography

Abstract

fetched live from OpenAlex

Background: Breast milk is considered the optimal first food for infants. Breastfeeding infants with inherited metabolic disorders (IMDs) is complex due to the critical need to manage intake of specific macronutrients depending on the type of IMD. Objective: To describe current practices of registered dietitians (RD) who treat patients with IMDs regarding the incorporation of breastmilk into disease management. Design: Cross-sectional survey.Participants/setting:online survey conducted in December 2020 of 66 RDs who treat patients with IMDs in the United States and Canada.Main outcome measures:the survey focused on personal demographics, clinic characteristics, institutional feeding protocols for infants with IMDs, confidence in working with breastfeeding parents of infants with IMDs, and knowledge about breastfeeding with questions derived from the Iowa Infant Feeding Attitudes Scale.Statistical analysis performed:.Fisher's exact test was used for comparisons. Results: Most RDs were confident or very confident in their ability to provide nutritional guidance for breastfeeding infants with IMDs. Half of the participants reported that they had received training on breastfeeding of infants of IMDs. For infants with phenylketonuria (PKU), most RDs include breastfeeding as part of nutritional management. Breastfeeding is less likely to be used in the management of infants with other aminoacidopathies and fatty acid oxidation disorders. Use of measured expressed breastmilk was preferred, including for aminoacidopathies other than PKU, organic acidemias, and fatty acid oxidation disorders. Knowledge about breastfeeding varied. Less than half of RDs referred mothers to a lactation specialist somewhat regularly or frequently. Conclusions: Our survey found variation in experience, training, and use of breastfeeding-related nutritional management protocols in IMDs. A lack of formal training programs for the nutritional management of IMDs may account for some of this variation. Future research, including the collection of more detailed disorder-specific data, could help contribute to the development of clinical practice guidelines.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.014
GPT teacher head0.253
Teacher spread0.238 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

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