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Record W4297093854 · doi:10.7759/cureus.29623

An Assessment of Risk Factors of Delayed Speech and Language in Children: A Cross-Sectional Study

2022· article· en· W4297093854 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCureus · 2022
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsCovenant Health
Fundersnot available
KeywordsMedicineLanguage developmentSpoken languageSpeech disorderEtiologyCued speechAudiologyDevelopmental psychologyLinguisticsPsychologyPsychiatryCognitive psychology

Abstract

fetched live from OpenAlex

Introduction Communication is the exchange of information through speaking, writing, and other mediums. Speech is the expression of thoughts in spoken words. Language is the principal method that humans use for relaying information; consisting of words conveyed by speech, writing, or gestures. Language is the conceptual processing of communication. Problems in communication or oral motor function are called speech and language disorders. Developmental delay is diagnosed when a child does not attain normal developmental milestones at the expected age. Speech and/or language disorders are amongst the most common developmental difficulties in childhood. Such difficulties are termed 'primary' if they have no known etiology, and 'secondary' if they are caused by another condition such as hearing and neurological impairment, and developmental, behavioral, or emotional difficulties. Objectives The objective of our study was to observe the risk factors for speech and language delay in the children presenting to the speech therapy clinic of a tertiary care hospital in a large urban center. Methodology A cross-sectional study was conducted on 150 children presenting at the speech therapy clinic of Lahore General Hospital from July to August 2021. A well-designed questionnaire was used to collect data about the sociodemographic profile, and biological, developmental, and environmental risk factors of speech and language delay in children. SPSS, version 25 (IBM Corp., Armonk, NY) was used to enter and analyze the data. Results Parents or caretakers of a total of 98 male and 52 female children took part in this study aged 2-11 years. The average age of speech and language delay among the children was 5.65 years, 66.7% of which went to normal school while 31.3% went to special school; 66.7% were from urban areas. Around 60% had middle ear infections, and 34.7% were found to have oropharyngeal anomalies. A history of intrapartum complications was found in 68.4% of children; 46.7% of children had a history of use of a pacifier and 38% had a history of thumb sucking. Nearly 39% of children belonged to a multilingual family environment and 66.7% had a family history of screen viewing for more than two hours. Conclusion The major risk factors contributing to speech and language delay in children are family history of speech and language delay, prolonged sucking habits, male gender, oropharyngeal anomalies, hearing problems, and middle ear infections. Measures should be taken to educate people regarding risk factors, courses, and management of speech and language delay in 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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.999

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)0.0020.000

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 head0.015
GPT teacher head0.371
Teacher spread0.356 · 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