Health burden of transportation noise in the United States: a national assessment with equity analysis.
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| Title: | Health burden of transportation noise in the United States: a national assessment with equity analysis. |
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| Authors: | Rojas-Rueda, David1,2 (AUTHOR) David.Rojas@colostate.edu |
| Source: | Environmental Research. Sep2026:Part 1, Vol. 305, pN.PAG-N.PAG. 1p. |
| Subjects: | Transportation noise, Health equity, Socioeconomic disparities in health, World Health Organization, Population health, Health expectancy, Noise pollution, Cardiovascular diseases, Countries |
| Geographic Terms: | United States |
| Abstract: | The United States has not produced a national noise health burden estimate using disability-adjusted life year methodology. We quantified the population health burden of transportation noise across the contiguous United States and examined its distribution across states and socially vulnerable communities. We applied comparative risk assessment to census-tract noise exposure data from the National Transportation Noise Exposure Map for 324.4 million residents. We estimated attributable ischemic heart disease, ischemic stroke, cardiomyopathy, type 2 diabetes, cardiovascular mortality, high annoyance, and high sleep disturbance using exposure-response functions from WHO systematic reviews. We calculated disability-adjusted life years with WHO 2024 noise-specific disability weights, stratified by state and CDC Social Vulnerability Index quintile, with 12-parameter Monte Carlo uncertainty analysis. An estimated 94.5 million people were exposed to transportation noise at or above 45 dB LAeq. We attributed 272,600 DALYs annually (84 per 100,000; 95% UI: 45-121), including 6330 premature cardiovascular deaths, 11,400 ischemic heart disease cases, 13,600 type 2 diabetes cases, 12.3 million highly annoyed, and 3.3 million with high sleep disturbance. State burden varied six-fold, from 25 to 149 DALYs per 100,000. Communities in the highest social vulnerability quintile bore 2.29 times the burden of the least vulnerable. This is the first US noise burden estimate using WHO DALY methodology with social vulnerability stratification. The equity disparity identifies target populations for noise reduction. Disability weights for annoyance (30%) and road noise fraction (32%) are the two largest contributors to DALY variance, followed by sleep disturbance disability weight (14%) and the LAeq-to-Lden offset (11%), pointing to source-specific noise mapping, larger valuation studies, and standardized metric conversion as priorities. • Transportation noise causes 272,600 DALYs annually in the contiguous US. • Noise exposure linked to 6330 cardiovascular deaths and 13,600 diabetes cases. • Most socially vulnerable communities bear 2.29x the noise health burden. • Road noise fraction and disability weights drive 76% of DALY variance. • First US noise burden estimate using WHO DALY methodology with equity analysis. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Research is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 195276460 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Health burden of transportation noise in the United States: a national assessment with equity analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rojas-Rueda%2C+David%22">Rojas-Rueda, David</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> David.Rojas@colostate.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Research%22">Environmental Research</searchLink>. Sep2026:Part 1, Vol. 305, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Transportation+noise%22">Transportation noise</searchLink><br /><searchLink fieldCode="DE" term="%22Health+equity%22">Health equity</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+disparities+in+health%22">Socioeconomic disparities in health</searchLink><br /><searchLink fieldCode="DE" term="%22World+Health+Organization%22">World Health Organization</searchLink><br /><searchLink fieldCode="DE" term="%22Population+health%22">Population health</searchLink><br /><searchLink fieldCode="DE" term="%22Health+expectancy%22">Health expectancy</searchLink><br /><searchLink fieldCode="DE" term="%22Noise+pollution%22">Noise pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiovascular+diseases%22">Cardiovascular diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Countries%22">Countries</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The United States has not produced a national noise health burden estimate using disability-adjusted life year methodology. We quantified the population health burden of transportation noise across the contiguous United States and examined its distribution across states and socially vulnerable communities. We applied comparative risk assessment to census-tract noise exposure data from the National Transportation Noise Exposure Map for 324.4 million residents. We estimated attributable ischemic heart disease, ischemic stroke, cardiomyopathy, type 2 diabetes, cardiovascular mortality, high annoyance, and high sleep disturbance using exposure-response functions from WHO systematic reviews. We calculated disability-adjusted life years with WHO 2024 noise-specific disability weights, stratified by state and CDC Social Vulnerability Index quintile, with 12-parameter Monte Carlo uncertainty analysis. An estimated 94.5 million people were exposed to transportation noise at or above 45 dB LAeq. We attributed 272,600 DALYs annually (84 per 100,000; 95% UI: 45-121), including 6330 premature cardiovascular deaths, 11,400 ischemic heart disease cases, 13,600 type 2 diabetes cases, 12.3 million highly annoyed, and 3.3 million with high sleep disturbance. State burden varied six-fold, from 25 to 149 DALYs per 100,000. Communities in the highest social vulnerability quintile bore 2.29 times the burden of the least vulnerable. This is the first US noise burden estimate using WHO DALY methodology with social vulnerability stratification. The equity disparity identifies target populations for noise reduction. Disability weights for annoyance (30%) and road noise fraction (32%) are the two largest contributors to DALY variance, followed by sleep disturbance disability weight (14%) and the LAeq-to-Lden offset (11%), pointing to source-specific noise mapping, larger valuation studies, and standardized metric conversion as priorities. • Transportation noise causes 272,600 DALYs annually in the contiguous US. • Noise exposure linked to 6330 cardiovascular deaths and 13,600 diabetes cases. • Most socially vulnerable communities bear 2.29x the noise health burden. • Road noise fraction and disability weights drive 76% of DALY variance. • First US noise burden estimate using WHO DALY methodology with equity analysis. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Research is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.envres.2026.124921 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Transportation noise Type: general – SubjectFull: Health equity Type: general – SubjectFull: Socioeconomic disparities in health Type: general – SubjectFull: World Health Organization Type: general – SubjectFull: Population health Type: general – SubjectFull: Health expectancy Type: general – SubjectFull: Noise pollution Type: general – SubjectFull: Cardiovascular diseases Type: general – SubjectFull: Countries Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Health burden of transportation noise in the United States: a national assessment with equity analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rojas-Rueda, David IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2026:Part 1 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00139351 Numbering: – Type: volume Value: 305 Titles: – TitleFull: Environmental Research Type: main |
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