Noise Exposure May Diminish the Musician Advantage for Perceiving Speech in Noise.
Identifieur interne : 000412 ( Main/Exploration ); précédent : 000411; suivant : 000413Noise Exposure May Diminish the Musician Advantage for Perceiving Speech in Noise.
Auteurs : Erika Skoe [États-Unis] ; Sarah Camera [États-Unis] ; Jennifer Tufts [États-Unis]Source :
- Ear and hearing [ 1538-4667 ]
Descripteurs français
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- MESH :
English descriptors
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- MESH :
Abstract
OBJECTIVE
Although numerous studies have shown that musicians have better speech perception in noise (SPIN) compared to nonmusicians, other studies have not replicated the "musician advantage for SPIN." One factor that has not been adequately addressed in previous studies is how musicians' SPIN is affected by routine exposure to high levels of sound. We hypothesized that such exposure diminishes the musician advantage for SPIN.
DESIGN
Environmental sound levels were measured continuously for 1 week via body-worn noise dosimeters in 56 college students with diverse musical backgrounds and clinically normal pure-tone audiometric averages. SPIN was measured using the Quick Speech in Noise Test (QuickSIN). Multiple linear regression modeling was used to examine how music practice (years of playing a musical instrument) and routine noise exposure predict QuickSIN scores.
RESULTS
Noise exposure and music practice were both significant predictors of QuickSIN, but they had opposing influences, with more years of music practice predicting better QuickSIN scores and greater routine noise exposure predicting worse QuickSIN scores. Moreover, mediation analysis suggests that noise exposure suppresses the relationship between music practice and QuickSIN scores.
CONCLUSIONS
Our findings suggest a beneficial relationship between music practice and SPIN that is suppressed by noise exposure.
DOI: 10.1097/AUD.0000000000000665
PubMed: 30335667
Affiliations:
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Connecticut, Storrs, Connecticut</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author><author><name sortKey="Camera, Sarah" sort="Camera, Sarah" uniqKey="Camera S" first="Sarah" last="Camera">Sarah Camera</name><affiliation><nlm:affiliation>Department of Speech, Language, and Hearing Sciences.</nlm:affiliation><wicri:noCountry code="subField">and Hearing Sciences</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Connecticut Institute for the Brain and Cognitive Sciences.</nlm:affiliation><wicri:noCountry code="no comma">Connecticut Institute for the Brain and Cognitive Sciences.</wicri:noCountry><wicri:noCountry code="no comma">Connecticut Institute for the Brain and Cognitive Sciences.</wicri:noCountry></affiliation><affiliation wicri:level="2"><nlm:affiliation>University of Connecticut, Storrs, Connecticut, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of Connecticut, Storrs, Connecticut</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author><author><name sortKey="Tufts, Jennifer" sort="Tufts, Jennifer" uniqKey="Tufts J" first="Jennifer" last="Tufts">Jennifer Tufts</name><affiliation><nlm:affiliation>Department of Speech, Language, and Hearing Sciences.</nlm:affiliation><wicri:noCountry code="subField">and Hearing Sciences</wicri:noCountry></affiliation><affiliation wicri:level="2"><nlm:affiliation>University of Connecticut, Storrs, Connecticut, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of Connecticut, Storrs, Connecticut</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2019">2019 Jul/Aug</date><idno type="RBID">pubmed:30335667</idno><idno type="pmid">30335667</idno><idno 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comma">Connecticut Institute for the Brain and Cognitive Sciences.</wicri:noCountry><wicri:noCountry code="no comma">Connecticut Institute for the Brain and Cognitive Sciences.</wicri:noCountry></affiliation><affiliation wicri:level="2"><nlm:affiliation>University of Connecticut, Storrs, Connecticut, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of Connecticut, Storrs, Connecticut</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author><author><name sortKey="Camera, Sarah" sort="Camera, Sarah" uniqKey="Camera S" first="Sarah" last="Camera">Sarah Camera</name><affiliation><nlm:affiliation>Department of Speech, Language, and Hearing Sciences.</nlm:affiliation><wicri:noCountry code="subField">and Hearing Sciences</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Connecticut Institute for the Brain and Cognitive Sciences.</nlm:affiliation><wicri:noCountry code="no comma">Connecticut Institute for the Brain and Cognitive Sciences.</wicri:noCountry><wicri:noCountry code="no comma">Connecticut Institute for the Brain and Cognitive Sciences.</wicri:noCountry></affiliation><affiliation wicri:level="2"><nlm:affiliation>University of Connecticut, Storrs, Connecticut, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of Connecticut, Storrs, Connecticut</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author><author><name sortKey="Tufts, Jennifer" sort="Tufts, Jennifer" uniqKey="Tufts J" first="Jennifer" last="Tufts">Jennifer Tufts</name><affiliation><nlm:affiliation>Department of Speech, Language, and Hearing Sciences.</nlm:affiliation><wicri:noCountry code="subField">and Hearing Sciences</wicri:noCountry></affiliation><affiliation wicri:level="2"><nlm:affiliation>University of Connecticut, Storrs, Connecticut, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of Connecticut, Storrs, Connecticut</wicri:regionArea><placeName><region type="state">Connecticut</region></placeName></affiliation></author></analytic><series><title level="j">Ear and hearing</title><idno type="eISSN">1538-4667</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Audiometry, Pure-Tone (MeSH)</term><term>Environmental Exposure (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Linear Models (MeSH)</term><term>Male (MeSH)</term><term>Music (MeSH)</term><term>Noise (MeSH)</term><term>Speech Perception (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Audiométrie tonale (MeSH)</term><term>Bruit (MeSH)</term><term>Exposition environnementale (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Modèles linéaires (MeSH)</term><term>Musique (MeSH)</term><term>Mâle (MeSH)</term><term>Perception de la parole (MeSH)</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Audiometry, Pure-Tone</term><term>Environmental Exposure</term><term>Female</term><term>Humans</term><term>Linear Models</term><term>Male</term><term>Music</term><term>Noise</term><term>Speech Perception</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Audiométrie tonale</term><term>Bruit</term><term>Exposition environnementale</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Modèles linéaires</term><term>Musique</term><term>Mâle</term><term>Perception de la parole</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>Although numerous studies have shown that musicians have better speech perception in noise (SPIN) compared to nonmusicians, other studies have not replicated the "musician advantage for SPIN." One factor that has not been adequately addressed in previous studies is how musicians' SPIN is affected by routine exposure to high levels of sound. We hypothesized that such exposure diminishes the musician advantage for SPIN.</p></div><div type="abstract" xml:lang="en"><p><b>DESIGN</b></p><p>Environmental sound levels were measured continuously for 1 week via body-worn noise dosimeters in 56 college students with diverse musical backgrounds and clinically normal pure-tone audiometric averages. SPIN was measured using the Quick Speech in Noise Test (QuickSIN). Multiple linear regression modeling was used to examine how music practice (years of playing a musical instrument) and routine noise exposure predict QuickSIN scores.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Noise exposure and music practice were both significant predictors of QuickSIN, but they had opposing influences, with more years of music practice predicting better QuickSIN scores and greater routine noise exposure predicting worse QuickSIN scores. Moreover, mediation analysis suggests that noise exposure suppresses the relationship between music practice and QuickSIN scores.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Our findings suggest a beneficial relationship between music practice and SPIN that is suppressed by noise exposure.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30335667</PMID><DateCompleted><Year>2020</Year><Month>01</Month><Day>20</Day></DateCompleted><DateRevised><Year>2020</Year><Month>01</Month><Day>20</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1538-4667</ISSN><JournalIssue CitedMedium="Internet"><Volume>40</Volume><Issue>4</Issue><PubDate><MedlineDate>2019 Jul/Aug</MedlineDate></PubDate></JournalIssue><Title>Ear and hearing</Title><ISOAbbreviation>Ear Hear</ISOAbbreviation></Journal><ArticleTitle>Noise Exposure May Diminish the Musician Advantage for Perceiving Speech in Noise.</ArticleTitle><Pagination><MedlinePgn>782-793</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1097/AUD.0000000000000665</ELocationID><Abstract><AbstractText Label="OBJECTIVE">Although numerous studies have shown that musicians have better speech perception in noise (SPIN) compared to nonmusicians, other studies have not replicated the "musician advantage for SPIN." One factor that has not been adequately addressed in previous studies is how musicians' SPIN is affected by routine exposure to high levels of sound. We hypothesized that such exposure diminishes the musician advantage for SPIN.</AbstractText><AbstractText Label="DESIGN">Environmental sound levels were measured continuously for 1 week via body-worn noise dosimeters in 56 college students with diverse musical backgrounds and clinically normal pure-tone audiometric averages. SPIN was measured using the Quick Speech in Noise Test (QuickSIN). Multiple linear regression modeling was used to examine how music practice (years of playing a musical instrument) and routine noise exposure predict QuickSIN scores.</AbstractText><AbstractText Label="RESULTS">Noise exposure and music practice were both significant predictors of QuickSIN, but they had opposing influences, with more years of music practice predicting better QuickSIN scores and greater routine noise exposure predicting worse QuickSIN scores. Moreover, mediation analysis suggests that noise exposure suppresses the relationship between music practice and QuickSIN scores.</AbstractText><AbstractText Label="CONCLUSIONS">Our findings suggest a beneficial relationship between music practice and SPIN that is suppressed by noise exposure.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Skoe</LastName><ForeName>Erika</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Department of Speech, Language, and Hearing Sciences.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Connecticut Institute for the Brain and Cognitive Sciences.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>University of Connecticut, Storrs, Connecticut, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Camera</LastName><ForeName>Sarah</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Speech, Language, and Hearing Sciences.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Connecticut Institute for the Brain and Cognitive Sciences.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>University of Connecticut, Storrs, Connecticut, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tufts</LastName><ForeName>Jennifer</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Speech, Language, and Hearing Sciences.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>University of Connecticut, Storrs, Connecticut, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Ear Hear</MedlineTA><NlmUniqueID>8005585</NlmUniqueID><ISSNLinking>0196-0202</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001301" MajorTopicYN="N">Audiometry, Pure-Tone</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004781" MajorTopicYN="Y">Environmental Exposure</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016014" MajorTopicYN="N">Linear Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009146" MajorTopicYN="Y">Music</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009622" MajorTopicYN="Y">Noise</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013067" MajorTopicYN="Y">Speech Perception</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>10</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>1</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>10</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">30335667</ArticleId><ArticleId IdType="doi">10.1097/AUD.0000000000000665</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Connecticut</li></region></list><tree><country name="États-Unis"><region name="Connecticut"><name sortKey="Skoe, Erika" sort="Skoe, Erika" uniqKey="Skoe E" first="Erika" last="Skoe">Erika Skoe</name></region><name sortKey="Camera, Sarah" sort="Camera, Sarah" uniqKey="Camera S" first="Sarah" last="Camera">Sarah Camera</name><name sortKey="Tufts, Jennifer" sort="Tufts, Jennifer" uniqKey="Tufts J" first="Jennifer" last="Tufts">Jennifer Tufts</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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