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Record W2146387510 · doi:10.1111/jpc.12729

Use of parent report to screen for feeding difficulties in young children

2014· article· en· W2146387510 on OpenAlexaboutno aff
Jeanne Marshall, Madeline Raatz, Elizabeth C. Ward, Pamela Dodrill

Bibliographic record

VenueJournal of Paediatrics and Child Health · 2014
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsnot available
FundersQueensland Health
KeywordsMedicineNormativeReliability (semiconductor)PediatricsDevelopmental psychologyPsychology

Abstract

fetched live from OpenAlex

AIMS: This study aimed to collect data on Australian children with regard to feeding difficulties using a standardised questionnaire, compare these data to international data collected using the same tool, assess the short-term reliability of this tool and determine the sensitivity and specificity of this tool in detecting feeding difficulties. METHODS: Parents completed the Behavioral Pediatric Feeding Assessment Scale. Data on 54 typically developing children and 81 children with feeding difficulties aged 2-6 years are presented. RESULTS: Our Australian sample performed comparably to normative data from Canada and the UK. Reliable results were demonstrated over a 2-week period, and the scale was shown to have high specificity. There was a significant difference between typically developing children and children with feeding difficulties in frequency of undesirable mealtime behaviours (P < 0.01) and the number of behaviours reported as a problem by parents using this tool (P < 0.01). CONCLUSIONS: This study confirmed that the Behavioral Pediatric Feeding Assessment Scale is a valid tool for identifying Australian children with feeding difficulties. Given that it is simple to administer and has a high reliability and specificity, it is suggested as a useful screening tool for physicians working with young children. Data collected using this tool found that typically developing children display few undesirable feeding behaviours, and few behaviours are perceived as problems by parents. Therefore, any child presenting with a large number of feeding problems on this parent-reported measure should be referred for further multidisciplinary evaluation and treatment as required.

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)0.001
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 score0.014
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.037
GPT teacher head0.316
Teacher spread0.279 · 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

Citations26
Published2014
Admission routes1
Has abstractyes

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