Development of Job Exposure Matrices to Estimate Occupational Exposure to Solar and Artificial Ultraviolet Radiation

Details

• Personal Author:
  Boiano, James M. ; Liu S ; Sanderson, Wayne T. ; Silver, Sharon R. ; Tsai RJ ; Whitehead LW
• Description:
  Objectives: Job exposure matrices (JEMs) are important tools for estimating occupational exposures in study populations where only information on industry and occupation (I&O) are available. The objective of this work was to create JEMs for solar and artificial ultraviolet radiation (UVR) using a US standardized coding scheme. Methods: Using U.S. Census Bureau industry and occupation codes, separate lists of I&O pairs were developed for solar and artificial UVR by a panel of Certified Industrial Hygienists who assigned exposure ratings to I&O pairs with potential exposure. Parameters for exposure included prevalence (P) and frequency (F) for solar UVR and P, F, and intensity (I) for artificial UVR. Prevalence, or percent of all workers employed in an I&O pair who were exposed, was categorically rated: 0 to <1, 1 to <20; 20 to <80, and .80. Frequency of exposure, defined by the number of hours per week workers were exposed, was categorically rated: 0 to <5, 5 to <20, 20 to <35, and .35 h per week. For artificial UVR only, intensity of exposure was assigned three ratings: low, low with rare excursions, and >low under normal conditions. Discrepant ratings were resolved via consensus. Results: After excluding I&O pairs assigned P and F ratings of 0 (solar UVR) and P, F, and I ratings of 0 (artificial UVR) from the JEM, 9206 I&O pairs were rated for solar UVR and 2010 I&O pairs for artificial UVR. For solar UVR, 723 (7.9% of all rated pairs) had ratings in the highest category for P and F; this group included 45 occupations in varied industries. Construction and extraction occupations represented most of the occupations (n = 20; 44%), followed by farming, fishing, and forestry occupations (n = 6; 13%). For artificial UVR, 87 I&O pairs (4.3% of all rated pairs) had maximum ratings for P, F, and I; these comprised a single occupation (welding, soldering, and brazing workers) in diverse industries. Conclusions: JEMs for solar and artificial UVR were developed for a broad range of I&O pairs in the US population and are available for use by researchers conducting occupational epidemiological studies. [Description provided by NIOSH]
• Subjects:
  Epidemiology Occupational Exposure Occupational Health Safety
• Keywords:
  Author Keywords: Artificial Ultraviolet Radiation Expert Review Exposure Assessment Exposure Estimates Frequency Industry And Occupation Codes Information Systems Intensity Ratings JEM Job Analysis Job Exposure Matrix Occupational Exposure Prevalence Solar Energy Solar Ultraviolet Radiation Ultraviolet Radiation Work Analysis

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• ISSN:
  2398-7308
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Indiana ; Kentucky ; Ohio ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 6 ; Texas
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DFSE - Division of Field Studies and Engineering
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  64
• Issue:
  9
• NIOSHTIC Number:
  nn:20061126
• Citation:
  Ann Work Expo Health 2020 Nov; 64(9):936-943
• Contact Point Address:
  James M. Boiano, Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, 1090 Tusculum Ave., Cincinnati, OH 45226-1998, USA
• Email:
  jboiano@cdc.gov
• Federal Fiscal Year:
  2021
• NORA Priority Area:
  Services ; Transportation, Warehousing and Utilities
• Performing Organization:
  University of Kentucky, Lexington
• Peer Reviewed:
  True
• Start Date:
  20120701
• Source Full Name:
  Annals of Work Exposures and Health
• End Date:
  20240630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:f2547549bbd24b6d0f510bab28cab5c5fcf4fce6e6d52ad1f702256c9711841c2fc5f638dfa91503ddfec38df628cbf8daadec97ecc94841c84246c8e1536944
• Download URL:
  https://stacks.cdc.gov/view/cdc/224776/cdc_224776_DS1.pdf
• File Type:
  [PDF - 203.59 KB ]