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Development of a job-exposure matrix (JEM) for exposure to smoke particle mass among firefighters of the Fire Department of the City of New York (FDNY).
Goldfarb, David G; Prezant, David J; Zeig-Owens, Rachel; Schwartz, Theresa; Liu, Yang; Kavouras, Ilias G.
Afiliação
  • Goldfarb DG; Department of Environmental, Occupational, and Geospatial Health Sciences, CUNY Graduate School of Public Health and Health Policy, New York, New York, USA david.goldfarb@fdny.nyc.gov.
  • Prezant DJ; Bureau of Health Services, Fire Department of the City of New York, Brooklyn, New York, USA.
  • Zeig-Owens R; Department of Medicine, Montefiore Medical Center, Brooklyn, New York, USA.
  • Schwartz T; Bureau of Health Services, Fire Department of the City of New York, Brooklyn, New York, USA.
  • Liu Y; Bureau of Health Services, Fire Department of the City of New York, Brooklyn, New York, USA.
  • Kavouras IG; Department of Medicine, Montefiore Medical Center, Brooklyn, New York, USA.
Occup Environ Med ; 80(2): 104-110, 2023 02.
Article em En | MEDLINE | ID: mdl-36635097
OBJECTIVES: A refined job exposure matrix (JEM) based on incident types and severities and response characteristics was developed for firefighters to estimate quantities of smoke particles emitted during structural and non-structural fire incidents from 2010 to 2021. METHODS: The cohort included a subset of 3237 Fire Department of the City of New York firefighters who responded to at least one incident between 2010 and 2021, prior to retirement. Fire incident data included dates, type, severity (alarm level) and location. Response data included dates worked, firehouse, position titles and shift lengths for each firefighter. The quantity of smoke particle mass generated during structural and non-structural fires adjusted by individual firefighter engagement was computed using the United States Environmental Protection Agency AP-42 emissions framework. Correlations between years of employment, fire responses and career total particle mass concentration by firefighter were examined. Linear regression models were fit and corresponding R2 values were calculated. RESULTS: Firefighters responded to a median of 424.7 (IQR=202.3-620.0) annual incidents/person; 17.6% were fire incidents (median=77.1; IQR=40.4-114.0). Structural fires were the most common type of fire incident (72.5% of annual incidents/person; median=55.9; IQR=29.6-85.5). Incident severity (alarm level) and firefighter engagement (position title) appeared to differentiate between high and low exposure regimes (R2=0.43). Incident severity explained most of the variability of particle exposures (R2=0.90). CONCLUSIONS: Using the JEM, job-related smoke particle concentrations were estimated to vary by incident type, incident severity and firefighter engagement, highlighting the importance of using refined measures, so that future studies can more accurately evaluate associations between firefighting and health outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article