New York City occupations at risk of heat stress: integrating O*NET and BLS data for occupational insights.
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| Title: | New York City occupations at risk of heat stress: integrating O*NET and BLS data for occupational insights. |
|---|---|
| Authors: | Ierardi, A Michael1, Pavilonis, Brian1,2 |
| Source: | Annals of Work Exposures & Health. Jul2025, Vol. 69 Issue 6, p615-625. 11p. |
| Subjects: | Risk assessment, Databases, Health services accessibility, Occupations, Research funding, Occupational hazards, Physiological effects of heat, Climate change, Work environment, Descriptive statistics, Heat, Occupational exposure, Extreme weather, Mathematical models, Horticulture, Theory, Inter-observer reliability, Industrial hygiene, Industrial safety, Construction industry |
| Geographic Terms: | New York (State) |
| Abstract: | Extreme heat poses a growing threat to occupational health and safety in the New York City (NYC) metropolitan region with projections indicating substantial increases in heat wave events and heat-related mortality in the coming decades. We, therefore, aimed to identify NYC occupations at greatest heat stress risk using publicly available data. Two databases were mapped and merged to compile available occupational information for job titles in the NYC metropolitan region. Two certified industrial hygienists identified variables within these databases to include in a heat stress risk model and weighted these accordingly. Inter-rater reliability and agreement statistics were calculated. The final model was applied to the merged database to identify the scope of the NYC-region worker population potentially impacted by heat stress. The final merged database included 717 Standard Occupational Classification codes with data for 407 categories from the Occupational Information Network (O*NET), as well as employment and wage data from the United States Bureau of Labor Statistics (BLS). Regarding the risk model, the raters' variable selection and weighting were generally consistent and entailed the inclusion of 11 variables. Upon applying the final risk model to the merged database, 178 880 total workers were found to constitute the top 25 at-risk job titles with total employment n > 500, with more than half of this identified workforce classified as landscaping and groundskeeping workers (n = 51 790) and construction laborers (n = 46 390). Our analysis successfully identified NYC occupations at greatest risk of heat stress, achieving our aim and providing a foundation for targeted mitigation strategies. The success of any extreme heat mitigation policies will depend on effective enforcement and outreach to impacted workers. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Work Exposures & Health is the property of Oxford University Press / USA 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 187126033 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: New York City occupations at risk of heat stress: integrating O*NET and BLS data for occupational insights. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ierardi%2C+A+Michael%22">Ierardi, A Michael</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pavilonis%2C+Brian%22">Pavilonis, Brian</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Work+Exposures+%26+Health%22">Annals of Work Exposures & Health</searchLink>. Jul2025, Vol. 69 Issue 6, p615-625. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Health+services+accessibility%22">Health services accessibility</searchLink><br /><searchLink fieldCode="DE" term="%22Occupations%22">Occupations</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Occupational+hazards%22">Occupational hazards</searchLink><br /><searchLink fieldCode="DE" term="%22Physiological+effects+of+heat%22">Physiological effects of heat</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Work+environment%22">Work environment</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Heat%22">Heat</searchLink><br /><searchLink fieldCode="DE" term="%22Occupational+exposure%22">Occupational exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Extreme+weather%22">Extreme weather</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Horticulture%22">Horticulture</searchLink><br /><searchLink fieldCode="DE" term="%22Theory%22">Theory</searchLink><br /><searchLink fieldCode="DE" term="%22Inter-observer+reliability%22">Inter-observer reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+hygiene%22">Industrial hygiene</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+safety%22">Industrial safety</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+industry%22">Construction industry</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22New+York+%28State%29%22">New York (State)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Extreme heat poses a growing threat to occupational health and safety in the New York City (NYC) metropolitan region with projections indicating substantial increases in heat wave events and heat-related mortality in the coming decades. We, therefore, aimed to identify NYC occupations at greatest heat stress risk using publicly available data. Two databases were mapped and merged to compile available occupational information for job titles in the NYC metropolitan region. Two certified industrial hygienists identified variables within these databases to include in a heat stress risk model and weighted these accordingly. Inter-rater reliability and agreement statistics were calculated. The final model was applied to the merged database to identify the scope of the NYC-region worker population potentially impacted by heat stress. The final merged database included 717 Standard Occupational Classification codes with data for 407 categories from the Occupational Information Network (O*NET), as well as employment and wage data from the United States Bureau of Labor Statistics (BLS). Regarding the risk model, the raters' variable selection and weighting were generally consistent and entailed the inclusion of 11 variables. Upon applying the final risk model to the merged database, 178 880 total workers were found to constitute the top 25 at-risk job titles with total employment n > 500, with more than half of this identified workforce classified as landscaping and groundskeeping workers (n = 51 790) and construction laborers (n = 46 390). Our analysis successfully identified NYC occupations at greatest risk of heat stress, achieving our aim and providing a foundation for targeted mitigation strategies. The success of any extreme heat mitigation policies will depend on effective enforcement and outreach to impacted workers. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Work Exposures & Health is the property of Oxford University Press / USA 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=187126033 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/annweh/wxaf022 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 615 Subjects: – SubjectFull: Risk assessment Type: general – SubjectFull: Databases Type: general – SubjectFull: Health services accessibility Type: general – SubjectFull: Occupations Type: general – SubjectFull: Research funding Type: general – SubjectFull: Occupational hazards Type: general – SubjectFull: Physiological effects of heat Type: general – SubjectFull: Climate change Type: general – SubjectFull: Work environment Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Heat Type: general – SubjectFull: Occupational exposure Type: general – SubjectFull: Extreme weather Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Horticulture Type: general – SubjectFull: Theory Type: general – SubjectFull: Inter-observer reliability Type: general – SubjectFull: Industrial hygiene Type: general – SubjectFull: Industrial safety Type: general – SubjectFull: Construction industry Type: general – SubjectFull: New York (State) Type: general Titles: – TitleFull: New York City occupations at risk of heat stress: integrating O*NET and BLS data for occupational insights. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ierardi, A Michael – PersonEntity: Name: NameFull: Pavilonis, Brian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 23987308 Numbering: – Type: volume Value: 69 – Type: issue Value: 6 Titles: – TitleFull: Annals of Work Exposures & Health Type: main |
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