{"title":"New York City occupations at risk of heat stress: integrating O*NET and BLS data for occupational insights.","authors":"A Michael Ierardi, Brian Pavilonis","doi":"10.1093/annweh/wxaf022","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8362,"journal":{"name":"Annals Of Work Exposures and Health","volume":" ","pages":"615-625"},"PeriodicalIF":1.8000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals Of Work Exposures and Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/annweh/wxaf022","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
About the Journal
Annals of Work Exposures and Health is dedicated to presenting advances in exposure science supporting the recognition, quantification, and control of exposures at work, and epidemiological studies on their effects on human health and well-being. A key question we apply to submission is, "Is this paper going to help readers better understand, quantify, and control conditions at work that adversely or positively affect health and well-being?"
We are interested in high quality scientific research addressing:
the quantification of work exposures, including chemical, biological, physical, biomechanical, and psychosocial, and the elements of work organization giving rise to such exposures;
the relationship between these exposures and the acute and chronic health consequences for those exposed and their families and communities;
populations at special risk of work-related exposures including women, under-represented minorities, immigrants, and other vulnerable groups such as temporary, contingent and informal sector workers;
the effectiveness of interventions addressing exposure and risk including production technologies, work process engineering, and personal protective systems;
policies and management approaches to reduce risk and improve health and well-being among workers, their families or communities;
methodologies and mechanisms that underlie the quantification and/or control of exposure and risk.
There is heavy pressure on space in the journal, and the above interests mean that we do not usually publish papers that simply report local conditions without generalizable results. We are also unlikely to publish reports on human health and well-being without information on the work exposure characteristics giving rise to the effects. We particularly welcome contributions from scientists based in, or addressing conditions in, developing economies that fall within the above scope.