Risk factors for occupational heat-related illness among California workers, 2000-2017.
Adolescent
Adult
California
/ epidemiology
Female
Heat Stress Disorders
/ epidemiology
Humans
Industry
/ statistics & numerical data
Male
Middle Aged
Occupational Diseases
/ epidemiology
Occupational Exposure
/ adverse effects
Occupations
/ statistics & numerical data
Risk Factors
Workers' Compensation
/ statistics & numerical data
Young Adult
climate change
heat stress
heat-related illness
occupational exposures
workers' compensation
Journal
American journal of industrial medicine
ISSN: 1097-0274
Titre abrégé: Am J Ind Med
Pays: United States
ID NLM: 8101110
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
15
07
2020
revised:
27
08
2020
accepted:
21
09
2020
pubmed:
20
10
2020
medline:
18
8
2021
entrez:
19
10
2020
Statut:
ppublish
Résumé
As climate change increases global temperatures, heat-related morbidity and mortality are projected to rise. Outdoor workers and those who perform exertional tasks are particularly susceptible to heat-related illness (HRI). Using workers' compensation data, we aimed to describe rates of occupational HRI in California and identify demographic and occupational risk factors to inform prevention efforts. We identified HRI cases during 2000-2017 in the California Workers' Compensation Information System (WCIS) using International Classification of Diseases Ninth and Tenth Revision codes, WCIS nature and cause of injury codes, and HRI keywords. We assigned industry and occupation codes using the NIOSH Industry and Occupation Computerized Coding System (NIOCCS). We calculated HRI rates by sex, age group, year, county, industry, and occupation, and estimated confidence intervals using generalized linear models. We identified 15,996 HRI cases during 2000-2017 (6.0 cases/100,000 workers). Workers aged 16-24 years had the highest HRI rate (7.6) among age groups, and men (8.1) had a higher rate than women (3.5). Industry sectors with the highest HRI rates were Agriculture, Farming, Fishing, and Forestry (38.6), and Public Administration (35.3). Occupational groups with the highest HRI rates were Protective Services (56.6) and Farming, Fishing, and Forestry (36.6). Firefighters had the highest HRI rate (389.6) among individual occupations. Workers in certain demographic and occupational groups are particularly susceptible to HRI. Additional prevention efforts, including outreach and enforcement targeting high-risk groups, are needed to reduce occupational HRI. Workers' compensation data can provide timely information about temporal trends and risk factors for HRI.
Sections du résumé
BACKGROUND
As climate change increases global temperatures, heat-related morbidity and mortality are projected to rise. Outdoor workers and those who perform exertional tasks are particularly susceptible to heat-related illness (HRI). Using workers' compensation data, we aimed to describe rates of occupational HRI in California and identify demographic and occupational risk factors to inform prevention efforts.
METHODS
We identified HRI cases during 2000-2017 in the California Workers' Compensation Information System (WCIS) using International Classification of Diseases Ninth and Tenth Revision codes, WCIS nature and cause of injury codes, and HRI keywords. We assigned industry and occupation codes using the NIOSH Industry and Occupation Computerized Coding System (NIOCCS). We calculated HRI rates by sex, age group, year, county, industry, and occupation, and estimated confidence intervals using generalized linear models.
RESULTS
We identified 15,996 HRI cases during 2000-2017 (6.0 cases/100,000 workers). Workers aged 16-24 years had the highest HRI rate (7.6) among age groups, and men (8.1) had a higher rate than women (3.5). Industry sectors with the highest HRI rates were Agriculture, Farming, Fishing, and Forestry (38.6), and Public Administration (35.3). Occupational groups with the highest HRI rates were Protective Services (56.6) and Farming, Fishing, and Forestry (36.6). Firefighters had the highest HRI rate (389.6) among individual occupations.
CONCLUSIONS
Workers in certain demographic and occupational groups are particularly susceptible to HRI. Additional prevention efforts, including outreach and enforcement targeting high-risk groups, are needed to reduce occupational HRI. Workers' compensation data can provide timely information about temporal trends and risk factors for HRI.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1145-1154Informations de copyright
© 2020 Wiley Periodicals LLC.
Références
NASA. NOAA analyses reveal 2019 second warmest year on record. https://www.nasa.gov/press-release/nasa-noaa-analyses-reveal-2019-second-warmest-year-on-record. Accessed February 24, 2020.
Sarofim MC, Saha S, Hawkins MD, et al. Ch. 2: Temperature-related death and illness. The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment. Washington, DC: U.S. Global Change Research Program; 2016:43-68.
Smith KR, Woodward A, Campbell-Lendrum D, et al. Human health: impacts, adaptation, and co-benefits. In: Field CB, Barros VR, Dokken DJ, eds. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK/New York. NY: Cambridge University Press; 2014:709-754.
Roelofs C, Wegman D. Workers: the climate canaries. Am J Public Health. 2014;104(10):1799-1801. https://doi.org/10.2105/AJPH
Bureau of Labor Statistics. TABLE R25. Number of nonfatal occupational injuries and illnesses involving days away from work by source of injury or illness and selected natures of injury or illness, private industry. U.S. Department of Labor; 2018. Accessed May 8, 2020. https://www.bls.gov/web/osh/cd_r25.htm
Bureau of Labor Statistics. TABLE A-8. Fatal occupational injuries by event or exposure and age, all United States, 2018. U.S. Department of Labor. https://www.bls.gov/iif/oshwc/cfoi/cftb0329.htm. Accessed May 8, 2020.
Gubernot DM, Anderson GB, Hunting KL. Characterizing occupational heat-related mortality in the United States, 2000-2010: an analysis using the Census of Fatal Occupational Injuries database. Am J Ind Med. 2015;58(2):203-211. https://doi.org/10.1002/ajim.22381
Heat-related deaths among crop workers-United States, 1992-2006. MMWR Morb Mortal Wkly Rep. 2008;57(24):649-653.
Carter R, 3rd, Cheuvront SN, Williams JO, et al. Epidemiology of hospitalizations and deaths from heat illness in soldiers. Med Sci Sports Exerc. 2005;37(8):1338-1344. https://doi.org/10.1249/01.mss.0000174895.19639.ed
Jacklitsch B, Williams J, Mussolin K, et al.NIOSH criteria for a Recommended Standard: Occupational Exposure To Heat And Hot Environments. Cincinnati, OH: Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health; 2016.
Heat illness prevention. In. Vol 3395: California Code of Regulations.
Indoor ventilation and temperature in places of employment. In. Vol 5205.0110: Minnesota Administrative Rules.
Outdoor heat exposure. In. Vol 296-62-09510: Washington Administrative Code.
Hesketh M, Wuellner S, Robinson A, Adams D, Smith C, Bonauto D. Heat-related illness among workers in Washington State: A descriptive study using workers' compensation claims, 2006-2017. Am J Ind Med. 2020;63(4):300-311. https://doi.org/10.1002/ajim.23092
Gubernot DM, Anderson GB, Hunting KL. The epidemiology of occupational heat exposure in the United States: a review of the literature and assessment of research needs in a changing climate. Int J Biometeorol. 2014;58(8):1779-1788. https://doi.org/10.1007/s00484-013-0752-x
Rosenman KD, Kalush A, Reilly MJ, Gardiner JC, Reeves M, Luo Z. How much work-related injury and illness is missed by the current national surveillance system? J Occup Environ Med. 2006;48(4):357-365. https://doi.org/10.1097/01.jom.0000205864.81970.63
Boden LI, Ozonoff A. Capture-recapture estimates of nonfatal workplace injuries and illnesses. Ann Epidemiol. 2008;18(6):500-506. https://doi.org/10.1016/j.annepidem.2007.11.003
Wuellner SE, Adams DA, Bonauto DK. Unreported workers' compensation claims to the BLS Survey of Occupational Injuries and Illnesses: Establishment factors. Am J Ind Med. 2016;59(4):274-289. https://doi.org/10.1002/ajim.22563
Bonauto D, Anderson R, Rauser E, Burke B. Occupational heat illness in Washington State, 1995-2005. Am J Ind Med. 2007;50(12):940-950. https://doi.org/10.1002/ajim.20517
Employed Labor Force query system. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute of Occupational Safety and Health, Division of Safety Research, Surveillance and Field Investigation Branch; 2018. https://wwwn.cdc.gov/Wisards/cps/default.aspx. Accessed October 25, 2018.
Quarterly Census of Employment and Wages. State of California Employment Development Department; 2018. https://www.labormarketinfo.edd.ca.gov/qcew/cew-select.asp. Accessed November 16, 2018.
NIOSH Industry and Occupation Computerized Coding System (NIOCCS). U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluation and Field Studies, Surveillance Branch; 2018. https://wwwn.cdc.gov/nioccs3/. Accessed October 31, 2018.
Bonauto D, Silverstein B, Adams D, Foley M. Prioritizing industries for occupational injury and illness prevention and research, Washington State workers' compensation claims, 1999-2003. J Occup Environ Med. 2006;48(8):840-851. https://doi.org/10.1097/01.jom.0000225062.88285.b3
Heat Stress and Strain: TLV® Physical Agents. Documentation. 7th ed. Cincinnati, OH: American Conference of Governmental Industrial Hygienists; 2017.
Harduar Morano L, Bunn TL, Lackovic M, et al. Occupational heat-related illness emergency department visits and inpatient hospitalizations in the southeast region, 2007-2011. Am J Ind Med. 2015;58(10):1114-1125. https://doi.org/10.1002/ajim.22504
Gifford RM, Todisco T, Stacey M, et al. Risk of heat illness in men and women: a systematic review and meta-analysis. Environ Res. 2019;171:24-35. https://doi.org/10.1016/j.envres.2018.10.020
Knowlton K, Rotkin-Ellman M, King G, et al. The 2006 California heat wave: impacts on hospitalizations and emergency department visits. Environ Health Perspect. 2009;117(1):61-67. https://doi.org/10.1289/ehp.11594
Anderson BG, Bell ML. Weather-related mortality: how heat, cold, and heat waves affect mortality in the United States. Epidemiology. 2009;20(2):205-213. https://doi.org/10.1097/EDE.0b013e318190ee08
Maeda T, S-y Kaneko, Ohta M, Tanaka K, Sasaki A, Fukushima T. Risk factors for heatstroke among Japanese forestry workers. J Occup Health. 2006;48(4):223-229. https://doi.org/10.1539/joh.48.223
Epstein Y, Moran DS, Shapiro Y, Sohar E, Shemer J. Exertional heat stroke: a case series. Med Sci Sports Exerc. 1999;31(2):224-228. https://doi.org/10.1097/00005768-199902000-00004
Arbury S, Jacklitsch B, Farquah O, et al. Heat illness and death among workers-United States 2012-2013. MMWR Morb Mortal Wkly Rpt. 2014;63(31):661-665.
Cal/OSHA. Heat illness prevention. http://www.99calor.org/english.html. Accessed May 4, 2020.
Williams AP, Abatzoglou JT, Gershunov A, et al. Observed impacts of anthropogenic climate change on wildfire in California. Earth's Future. 2019;7(8):892-910. https://doi.org/10.1029/2019EF001210
West MR, Costello S, Sol JA, Domitrovich JW. Risk for heat-related illness among wildland firefighters: job tasks and core body temperature change. Occup Environ Med. 2020;77(7):433-438. https://doi.org/10.1136/oemed-2019-106186
Quinlan M, Mayhew C, Bohle P. The global expansion of precarious employment, work disorganization, and consequences for occupational health: a review of recent research. Int J Health Serv. 2001;31(2):335-414. https://doi.org/10.2190/607H-TTV0-QCN6-YLT4
Ebi KL, Ogden NH, Semenza JC, Woodward A. Detecting and attributing health burdens to climate change. Environ Health Perspect. 2017;125(8):085004. https://doi.org/10.1289/EHP1509
Kjellstrom T, Briggs D, Freyberg C, Lemke B, Otto M, Hyatt O. Heat, human performance, and occupational health: a key issue for the assessment of global climate change impacts. Annu Rev Public Health. 2016;37:97-112. https://doi.org/10.1146/annurev-publhealth-032315-021740