Literature DB >> 31658425

Carbon monoxide exposures among U.S. wildland firefighters by work, fire, and environmental characteristics and conditions.

Scott A Henn1, Corey Butler2, Jia Li1, Aaron Sussell3, Christa Hale2, George Broyles4, Timothy Reinhardt5.   

Abstract

Carbon monoxide (CO) exposure levels encountered by wildland firefighters (WLFs) throughout their work shift can change considerably within a few minutes due to the varied tasks that are performed and the changing environmental and fire conditions encountered throughout the day. In a U.S. Forest Service study during the 2009-2012 fire seasons, WLFs from 57 different fires across the U.S. were monitored for CO using CO data-logging detectors while an observer recorded worker tasks, fire characteristics, and environmental conditions at scheduled intervals. Exposures to CO for 735 WLF's work shifts were analyzed to assess the effect of variations among work tasks, fire characteristics, and environmental conditions. Geometric mean full shift time-weighted averages were low at 2.4 parts per million (ppm) and average length of work shift was 11 hr and 15 min. The task with the highest mean CO exposure was sawyer/swamper at 6.8 ppm; workers performing that task had an estimated 9 times higher odds of a having a 1-min CO measurement exceeding 25 ppm than the referent pump task (OR = 8.89, 95% CI = 1.97, 40.24). After adjusting CO exposure limits for shift length, elevation, and work level, 2% and 4% of the WLF's work shifts exceeded the National Institute for Occupational Safety and Health's recommended exposure level and the American Conference of Governmental Industrial Hygienist's threshold limit value, respectively. In regression modeling, variables that were significantly associated with elevated levels of CO exposure included: task, fuel model, wind orientation, crew type, relative humidity, type of attack, and wind speed. In the absence of instruments such as CO detectors that can determine and alert WLFs to elevated CO levels, recognition of the conditions that lead to elevated levels of CO exposure can assist WLFs to effectively use administrative controls, such as work rotations, to minimize exposures.

Entities:  

Keywords:  Carboxyhemoglobin; data logging; elevation; sawyer; shift length; smoke

Year:  2019        PMID: 31658425     DOI: 10.1080/15459624.2019.1670833

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  5 in total

1.  The Wildland Firefighter Exposure and Health Effect (WFFEHE) Study: Rationale, Design, and Methods of a Repeated-Measures Study.

Authors:  Kathleen M Navarro; Corey R Butler; Kenneth Fent; Christine Toennis; Deborah Sammons; Alejandra Ramirez-Cardenas; Kathleen A Clark; David C Byrne; Pamela S Graydon; Christa R Hale; Andrea F Wilkinson; Denise L Smith; Marissa C Alexander-Scott; Lynne E Pinkerton; Judith Eisenberg; Joseph W Domitrovich
Journal:  Ann Work Expo Health       Date:  2022-07-02       Impact factor: 2.779

Review 2.  Wildfire and prescribed burning impacts on air quality in the United States.

Authors:  Daniel A Jaffe; Susan M O'Neill; Narasimhan K Larkin; Amara L Holder; David L Peterson; Jessica E Halofsky; Ana G Rappold
Journal:  J Air Waste Manag Assoc       Date:  2020-06       Impact factor: 2.235

3.  Effect of Sn on the CO Catalytic Activity and Water Resistance of Cu-Mn Catalyst.

Authors:  Yashengnan Sun; Xihua Zhou; Tianyu Xin; Gang Bai; Yumeng Wang; Xianlin Li; Xiao Mufeng
Journal:  ACS Omega       Date:  2022-03-29

Review 4.  Working in Smoke:: Wildfire Impacts on the Health of Firefighters and Outdoor Workers and Mitigation Strategies.

Authors:  Kathleen Navarro
Journal:  Clin Chest Med       Date:  2020-12       Impact factor: 2.878

5.  Carbon monoxide exposures in wildland firefighters in the United States and targets for exposure reduction.

Authors:  Erin O Semmens; Cindy S Leary; Molly R West; Curtis W Noonan; Kathleen M Navarro; Joseph W Domitrovich
Journal:  J Expo Sci Environ Epidemiol       Date:  2021-07-20       Impact factor: 5.563

  5 in total

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