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Residual Infantile Feeding History and Speech Outcomes in Preschool-Age Children: A Balkan Cross-Sectional Study on Parent-Led Weaning Implications

2025· article· en· W4412838890 on OpenAlexvenueno aff
Ana Poposka

Bibliographic record

VenueInternational Journal of Child Health and Nutrition · 2025
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWeaningCross-sectional studyPediatricsDemographyInternal medicine

Abstract

fetched live from OpenAlex

This study examines the relationship between residual infantile feeding history and subsequent speech sound disorders (SSD) in preschool-aged children within the Balkan region. It specifically investigates how traditional parent-led weaning practices influence the type and placement of SSD manifestations through their impact on early oromotor development. A cross-sectional analysis was conducted with 72 children, aged 3 to 6 years, diagnosed with moderate to severe SSD across two clinical centers in Kosovo and North Macedonia. Standardized articulation assessments and caregiver-completed developmental questionnaires were utilized to evaluate speech outcomes and feeding patterns. Key findings revealed significant associations: prolonged non-nutritive sucking (NNS) was strongly linked to anterior speech sound disorders and distortion errors; delayed progression to textured foods was correlated with middle/palatal SSD patterns; and oral sensory dysfunction was notably associated with substitution errors. The study underscores the clinical importance of early feeding interventions and individualized therapy approaches. Targeted strategies such as lingual strengthening for omissions and sensory-motor techniques for substitutions are recommended. These findings contribute to clinical practice and highlight the need for increased awareness and prevention of non-normative feeding patterns in the Balkan pediatric population.

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 score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.371
Teacher spread0.344 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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