Evidence map›Paper›PMID 41826969›Full record

ArticleEnvironmental health : a global access science source2026

Occupational characteristics are missing from heat vulnerability indices: a study in New York and New Jersey.

Zoey Laskaris, Sherry Baron, Steven B Markowitz

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zoey LaskarisBarry Commoner Center for Health & the Environment, Queens College, City University of New York, 65-30 Kissena Blvd, Flushing, NY, 11367, USA. zoey.laskaris@qc.cuny.edu.
Sherry BaronBarry Commoner Center for Health & the Environment, Queens College, City University of New York, 65-30 Kissena Blvd, Flushing, NY, 11367, USA.
Steven B MarkowitzBarry Commoner Center for Health & the Environment, Queens College, City University of New York, 65-30 Kissena Blvd, Flushing, NY, 11367, USA.

Funding

NIOSH CDC HHS T42 OH008422
6 · The paper itself

Abstract

backgroundHeat vulnerability indices and maps are widely used by government agencies to guide heat-prevention strategies and prioritize resources for at-risk communities. However, these tools typically exclude the occupational characteristics of the population, a salient source of heat exposure.

methodsTo examine how occupation might enrich these tools, we developed a method to generate Census tract-level estimates of occupational heat exposure risk for employed residents using publicly available data from the U.S. Bureau of Labor Statistics Occupational Information Network (O*NET) and the U.S. Census American Community Survey Public Use Microdata Sample (2018–2022) and applied it to New York State (NYS) and New Jersey (NJ). We calculated the proportion of residents in occupations with elevated indoor or outdoor heat exposure. We then examined correlations and spatial alignment between occupational heat risk and social, health, and environmental vulnerability indicators.

resultsApproximately 1.3 million residents in NYS (13.6% of total employment) and 698,000 in NJ (15.1%) were employed in occupations with elevated indoor or outdoor heat exposure risk. Occupational heat exposure correlated most strongly with health vulnerability, followed by social vulnerability, while environmental vulnerability showed weak or negative correlations. Geographic overlap of tracts in the highest quintiles of occupational risk and other vulnerability domains was modest overall: occupational and health vulnerabilities aligned in less urban areas, whereas occupational, social, and environmental vulnerabilities clustered in and around urban centers.

conclusionsIntegrating occupation into climate and social vulnerability indices is important, because it is an essential human activity, a social determinant of health, and a salient source of heat exposure that is not fully captured by existing social, health, and environmental data. These findings provide a replicable method for mapping occupational heat exposure, highlighting populations at elevated risk, informing future research, and supporting targeted interventions in community and workplace settings, especially where enforceable workplace protections against extreme heat are limited.

Indexed as

Hot TemperatureOccupational ExposureOccupationsHumansNew JerseyNew YorkWorking ConditionsClimate changeClimate change vulnerabilityEnvironmental exposuresExtreme heatOccupational exposuresOutdoor workersSocial determinants of health

Identifiers

PMID41826969
PMCPMC13101271

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.