New York City occupations at risk of heat stress: integrating O*NET and BLS data for occupational insights.

IF 1.8 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
A Michael Ierardi, Brian Pavilonis
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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.

纽约市面临热应激风险的职业:整合O*NET和BLS数据以获得职业见解。
极端高温对纽约市大都市区的职业健康和安全构成越来越大的威胁,预测表明,未来几十年热浪事件和与热有关的死亡率将大幅增加。因此,我们旨在利用公开数据确定纽约市热应激风险最大的职业。两个数据库被映射和合并,以汇编纽约市大都市区可用的职业信息。两名经过认证的工业卫生学家确定了这些数据库中的变量,以包括在热应激风险模型中,并相应地对这些变量进行加权。计算了评分者间信度和一致性统计。最后的模型被应用到合并的数据库中,以确定纽约地区可能受到热应激影响的工人人口的范围。最终合并的数据库包括717个标准职业分类代码,407个类别的数据来自职业信息网络(O*NET),以及来自美国劳工统计局(BLS)的就业和工资数据。在风险模型中,评价者的变量选择和权重基本一致,共包含11个变量。在将最终的风险模型应用于合并的数据库后,发现共有17880名工人构成了前25个风险职位,总就业人数为17500人,其中超过一半的确定劳动力被归类为景观美化和场地维护工人(n = 51790)和建筑工人(n = 46390)。我们的分析成功地确定了纽约市热应激风险最大的职业,实现了我们的目标,并为有针对性的缓解策略提供了基础。任何缓解极端高温政策的成功都将取决于有效的执法和对受影响工人的宣传。
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来源期刊
Annals Of Work Exposures and Health
Annals Of Work Exposures and Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.60
自引率
19.20%
发文量
79
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.
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