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Record W4311235015 · doi:10.53350/pjmhs221610649

Prevalence of Hearing Loss in Children of Parents with Consanguineous Marriages

2022· article· en· W4311235015 on OpenAlexaff
Sehar Batool, Muhammad Azzam Khan, Amna Asghar, Bushra Naseer, Shahid Waheed, Bilal Hussain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsCollege of Family Physicians of Canada
Fundersnot available
KeywordsConsanguinityHearing lossConsanguineous MarriageMedicinePopulationPediatricsAudiologyDemographyEnvironmental health

Abstract

fetched live from OpenAlex

Introduction: According to the World Health Organization, 6.1% of the world's population has hearing impairment, making it one of the most common disabilities. Congenital, prenatal, genetic, and environmental factors are among the many causes of hearing impairment. Congenital hearing loss is thought to be mostly caused by consanguinity. Numerous studies, both in the Middle East, where the practice is very common, and in Europe, where it is taboo, show a strong connection between congenital hearing loss and consanguinity. There is virtually little research on hearing loss brought on by consanguinity in the literature. Objective: The find the prevalence of hearing loss in children of parents with consanguineous marriages. Material & Methods: This an observational cross-sectional study. The study had a sample size of 377 subjects. The data was collected from Alam Audiology Clinic and Sir Ganga Ram Hospital for 6 months from January to June, 2022. The data was collected from parents who reported a consanguineous marriage, and the children were taken between the ages of 0.5 years to 5 years, children were test using various audiological intervention, i.e., Pure Tone. Audiometry, Otoacoustic emissions, Auditory Brain-stem Response. The children who were syndromic or had other associated psychological issues were excluded. A Performa was generated inquiring about demographics, nature of consanguinity, other disabilities type of hearing impairment and other risk factors, this was filled out by the parents or the researcher in consultation of the parents. All the parents were informed of the study and their consent was taken. The study data was analyzed using SPSS 21 and frequencies were found out, tables and charts were systematically drawn and their conclusions were drawn. The study followed all ethical parameters. Results: The results showed that out of the 377 participants, 186 were male and 191 were females, children of the age group 2-5 years were the most extensive numbering 323 participants (85.7%). An overwhelming number of children brought for assessment were with congenital hearing loss 286 (75.9%). Very few people reported hearing impairment in their family history. The nature of the cousin marriage shows that most of the participants 78.2% reported that they are first cousins. Most of the children 69% had moderate to severe hearing loss. Practical Implication: The study will show us the impact of consanguineous marriages have on the hearing capacity of their children. The study will highlight consanguineous marriages as a factor in hearing impairment. Keywords: Hearing loss, consanguinity, hearing impairment, hearing impairment.

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)0.000
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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.262
Teacher spread0.239 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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