Evidence map›Paper›PMID 34582393›Full record

ArticleEar and hearing

Home Auditory Environments of Children With Cochlear Implants and Children With Normal Hearing.

Yuanyuan Wang, Molly Cooke, Jessa Reed, Laura Dilley, Derek M Houston

Abstract read
In one paragraph

Article in Ear and hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuanyuan WangDepartment of Otolaryngology-Head and Neck Surgery, The Ohio State University, Columbus, Ohio, USA.
Molly CookeDepartment of Otolaryngology-Head and Neck Surgery, The Ohio State University, Columbus, Ohio, USA.
Jessa ReedDepartment of Otolaryngology-Head and Neck Surgery, The Ohio State University, Columbus, Ohio, USA.
Laura DilleyDepartment of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan, USA.
Derek M HoustonDepartment of Otolaryngology-Head and Neck Surgery, The Ohio State University, Columbus, Ohio, USA.

Funding

Infant-Directed Speech and Language Development in Infants with Hearing LossR01DC008581 · NIDCD · OHIO STATE UNIVERSITY · PI DILLEY, LAURA C, HOUSTON, DEREK M · 2007 to 2019
$5.6M
NIDCD NIH HHS R01 DC008581
6 · The paper itself

Abstract

objectivesEarly home auditory environment plays an important role in children's spoken language development and overall well-being. This study explored differences in the home auditory environment experienced by children with cochlear implants (CIs) relative to children with normal hearing (NH).

designMeasures of the child's home auditory environment, including adult word count (AWC), conversational turns (CTs), child vocalizations (CVs), television and media (TVN), overlapping sound (OLN), and noise (NON), were gathered using the Language Environment Analysis System. The study included 16 children with CIs (M = 22.06 mo) and 25 children with NH (M = 18.71 mo). Families contributed 1 to 3 daylong recordings quarterly over the course of approximately 1 year. Additional parent and infant characteristics including maternal education, amount of residual hearing, and age at activation were also collected.

resultsThe results showed that whereas CTs and CVs increased with child age for children with NH, they did not change as a function of age for children with CIs; NON was significantly higher for the NH group. No significant group differences were found for the measures of AWC, TVN, or OLN. Moreover, measures of CTs, CVs, TVN, and NON from children with CIs were associated with demographic and child factors, including maternal education, age at CI activation, and amount of residual hearing.

conclusionsThese findings suggest that there are similarities and differences in the home auditory environment experienced by children with CIs and children with NH. These findings have implications for early intervention programs to promote spoken language development for children with CIs.

Indexed as

Cochlear ImplantationCochlear ImplantsDeafnessAdultChildHearingHearing TestsHumansInfantLanguage Development

Identifiers

PMID34582393
PMCPMC8881328

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.