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Record W2372039570 · doi:10.1111/apa.13467

Children born preterm and full term have similar rates of feeding problems at three years of age

2016· article· en· W2372039570 on OpenAlexaboutno aff
Tjitske Nieuwenhuis, Elise A. Verhagen, Arend F. Bos, Marijn van Dijk

Bibliographic record

VenueActa Paediatrica · 2016
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
FundersRijksuniversiteit Groningen
KeywordsMedicinePediatricsGestational ageNeonatal intensive care unitFull TermPregnancy

Abstract

fetched live from OpenAlex

AIM: We determined the prevalence of feeding problems and their association with perinatal risk factors in three-year-old children born preterm and compared them with a full-term reference group. METHODS: This pilot study assessed feeding problem scores in 35 preterm children, with a median gestational age of 30 weeks (range 26-32) and median birthweight of 1260 grams (730-2250), who were enrolled during their admission to a neonatal intensive care unit. These were compared with existing data on 248 term children from child healthcare centres at the age of three. We excluded children with severe perinatal complications from the reference group. The Screeningslijst Eetgedrag Peuters (SEP), a validated Dutch version of the Montreal Children's Hospital Feeding Scale, was used to identify feeding problems. RESULTS: We found no difference in SEP scores between the preterm children and the reference group (p = 0.217) and did not identify any perinatal risk factors for developing feeding problems. Only 23% of the parents of preterm or term children with moderate-to-severe feeding problems consulted a medical professional. CONCLUSION: Using a parental report instrument showed that the prevalence of feeding problems in three-year-old preterm children was low and similar to that of term children.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.419

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)0.0000.000

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 head0.235
Teacher spread0.221 · 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

Citations39
Published2016
Admission routes1
Has abstractyes

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