Gurumurthy Ramachandran1, Caroline P Groth2, Tran B Huynh3, Sudipto Banerjee4, Patricia A Stewart5, Lawrence S Engel6,7, Richard K Kwok6,8, Dale P Sandler6, Mark Stenzel9. 1. Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe Street, Baltimore, MD 21205, USA. 2. Department of Epidemiology and Biostatistics, WVU School of Public Health, West Virginia University, One Medical Center Drive, Morgantown, WV 26506, USA. 3. Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, 3215 Market Street, Philadelphia, PA 19104, USA. 4. Department of Biostatistics, UCLA Fielding School of Public Health, University of California-Los Angeles, 650 Charles E. Young Drive, Los Angeles, CA 90095, USA. 5. Stewart Exposure Assessments, LLC, 6045 N 27th Street, Arlington, VA 22207, USA. 6. Epidemiology Branch, National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive-MD A3-05, Research Triangle Park, NC 27709, USA. 7. Department of Epidemiology, University of North Carolina at Chapel Hill, 35 Dauer Drive, Chapel Hill, NC 27599, USA. 8. Office of the Director, National Institute of Environmental Health Sciences, 9000 Rockville Pike, Bethesda, MD 20892, USA. 9. Exposure Assessment Applications, LLC, 6045 N 27th Street, Arlington, VA 22207, USA.
Abstract
Even though the Deepwater Horizon oil spill response and clean-up (OSRC) had one of the largest exposure monitoring efforts of any oil spill, a number of exposure groups did not have sufficient personal data available or there were gaps in days measured to adequately characterize exposures for the GuLF STUDY, an epidemiologic study investigating the health of the OSRC workers. Area measurements were available from real-time air monitoring instruments and used to supplement the personal exposure measurements. OBJECTIVES: The objective was to present a method that used real-time volatile organic compounds (VOCs) area measurements transformed to daily total hydrocarbons (THC) time-weighted averages (TWAs) to supplement THC personal full-shift measurements collected using passive charcoal badges. A second objective was to develop exposure statistics using these data for workers on vessels piloting remotely operated vehicle (ROV) vessels and other marine vessels (MVs) not at the job title level, but at the vessel level. METHODS: From hourly vessel averages derived from ~26 million real-time VOC measurements, we estimated full-shift VOC TWAs. Then, we determined the relationship between these TWAs and corresponding full-shift THC personal measurements taken on the same vessel-day. We used this relationship to convert the full-shift VOC measurements to full-shift 'THC' TWA estimates when no personal THC measurements existed on a vessel-day. We then calculated arithmetic means (AMs) and other statistics of THC exposures for each vessel. RESULTS: The VOC-derived estimates substantially supplemented the THC personal measurements, with the number of vessel-days for which we have exposure estimates increasing by ~60%. The estimates of the AMs are some of the highest observed in the GuLF STUDY. As expected, the AMs decreased over time, consistent with our findings on other vessels. CONCLUSIONS: Despite the inherent limitations of using real-time area measurements, we were able to develop additional daily observations of personal THC exposures for workers on the ROV vessels and other MVs over time. The estimates likely resulted in more representative estimates of the AMs in the GuLF STUDY. The method used here can be applied in other occupational settings and industries for personal exposure estimation where large amounts of area measurements and more limited numbers of personal measurements are available.
Even though the Deepwater Horizon oil spill response and clean-up (OSRC) had one of the largest exposure monitoring efforts of any oil spill, a number of exposure groups did not have sufficient personal data available or there were gaps in days measured to adequately characterize exposures for the GuLF STUDY, an epidemiologic study investigating the health of the OSRC workers. Area measurements were available from real-time air monitoring instruments and used to supplement the personal exposure measurements. OBJECTIVES: The objective was to present a method that used real-time volatile organic compounds (VOCs) area measurements transformed to daily total hydrocarbons (THC) time-weighted averages (TWAs) to supplement THC personal full-shift measurements collected using passive charcoal badges. A second objective was to develop exposure statistics using these data for workers on vessels piloting remotely operated vehicle (ROV) vessels and other marine vessels (MVs) not at the job title level, but at the vessel level. METHODS: From hourly vessel averages derived from ~26 million real-time VOC measurements, we estimated full-shift VOC TWAs. Then, we determined the relationship between these TWAs and corresponding full-shift THC personal measurements taken on the same vessel-day. We used this relationship to convert the full-shift VOC measurements to full-shift 'THC' TWA estimates when no personal THC measurements existed on a vessel-day. We then calculated arithmetic means (AMs) and other statistics of THC exposures for each vessel. RESULTS: The VOC-derived estimates substantially supplemented the THC personal measurements, with the number of vessel-days for which we have exposure estimates increasing by ~60%. The estimates of the AMs are some of the highest observed in the GuLF STUDY. As expected, the AMs decreased over time, consistent with our findings on other vessels. CONCLUSIONS: Despite the inherent limitations of using real-time area measurements, we were able to develop additional daily observations of personal THC exposures for workers on the ROV vessels and other MVs over time. The estimates likely resulted in more representative estimates of the AMs in the GuLF STUDY. The method used here can be applied in other occupational settings and industries for personal exposure estimation where large amounts of area measurements and more limited numbers of personal measurements are available.
Authors: Caroline Groth; Sudipto Banerjee; Gurumurthy Ramachandran; Mark R Stenzel; Patricia A Stewart Journal: Environmetrics Date: 2018-05-29 Impact factor: 1.900
Authors: Caroline Groth; Sudipto Banerjee; Gurumurthy Ramachandran; Mark R Stenzel; Dale P Sandler; Aaron Blair; Lawrence S Engel; Richard K Kwok; Patricia A Stewart Journal: Ann Work Expo Health Date: 2017-01-01 Impact factor: 2.179
Authors: Tran B Huynh; Caroline P Groth; Gurumurthy Ramachandran; Sudipto Banerjee; Mark Stenzel; Harrison Quick; Aaron Blair; Lawrence S Engel; Richard K Kwok; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.179
Authors: Mark R Stenzel; Caroline P Groth; Sudipto Banerjee; Gurumurthy Ramachandran; Richard K Kwok; Lawrence S Engel; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Caroline P Groth; Tran B Huynh; Sudipto Banerjee; Gurumurthy Ramachandran; Patricia A Stewart; Harrison Quick; Dale P Sandler; Aaron Blair; Lawrence S Engel; Richard K Kwok; Mark R Stenzel Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Mark R Stenzel; Susan F Arnold; Gurumurthy Ramachandran; Richard K Kwok; Lawrence S Engel; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Richard K Kwok; Lawrence S Engel; Aubrey K Miller; Aaron Blair; Matthew D Curry; W Braxton Jackson; Patricia A Stewart; Mark R Stenzel; Linda S Birnbaum; Dale P Sandler Journal: Environ Health Perspect Date: 2017-03-31 Impact factor: 9.031
Authors: Gregory C Pratt; Mark R Stenzel; Richard K Kwok; Caroline P Groth; Sudipto Banerjee; Susan F Arnold; Lawrence S Engel; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.179
Authors: Tran B Huynh; Caroline P Groth; Gurumurthy Ramachandran; Sudipto Banerjee; Mark Stenzel; Aaron Blair; Dale P Sandler; Lawrence S Engel; Richard K Kwok; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Caroline P Groth; Sudipto Banerjee; Gurumurthy Ramachandran; Patricia A Stewart; Dale P Sandler; Aaron Blair; Lawrence S Engel; Richard K Kwok; Mark R Stenzel Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Tran B Huynh; Caroline P Groth; Gurumurthy Ramachandran; Sudipto Banerjee; Mark Stenzel; Harrison Quick; Aaron Blair; Lawrence S Engel; Richard K Kwok; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.179
Authors: Mark R Stenzel; Caroline P Groth; Tran B Huynh; Gurumurthy Ramachandran; Sudipto Banerjee; Richard K Kwok; Lawrence S Engel; Aaron Blair; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.179
Authors: Susan Arnold; Patricia A Stewart; Gregory C Pratt; Gurumurthy Ramachandran; Richard K Kwok; Lawrence S Engel; Dale P Sandler; Mark R Stenzel Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.179
Authors: Mark R Stenzel; Caroline P Groth; Sudipto Banerjee; Gurumurthy Ramachandran; Richard K Kwok; Lawrence S Engel; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Caroline P Groth; Tran B Huynh; Sudipto Banerjee; Gurumurthy Ramachandran; Patricia A Stewart; Harrison Quick; Dale P Sandler; Aaron Blair; Lawrence S Engel; Richard K Kwok; Mark R Stenzel Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Mark R Stenzel; Susan F Arnold; Gurumurthy Ramachandran; Richard K Kwok; Lawrence S Engel; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Melanie Gorman Ng; John W Cherrie; Anne Sleeuwenhoek; Mark Stenzel; Richard K Kwok; Lawrence S Engel; Jennifer M Cavallari; Aaron Blair; Dale P Sandler; Patricia Stewart Journal: Ann Work Expo Health Date: 2019-07-23 Impact factor: 2.179
Authors: Gregory C Pratt; Mark R Stenzel; Richard K Kwok; Caroline P Groth; Sudipto Banerjee; Susan F Arnold; Lawrence S Engel; Dale P Sandler; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.179
Authors: Tran B Huynh; Caroline P Groth; Gurumurthy Ramachandran; Sudipto Banerjee; Mark Stenzel; Aaron Blair; Dale P Sandler; Lawrence S Engel; Richard K Kwok; Patricia A Stewart Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779
Authors: Caroline P Groth; Sudipto Banerjee; Gurumurthy Ramachandran; Patricia A Stewart; Dale P Sandler; Aaron Blair; Lawrence S Engel; Richard K Kwok; Mark R Stenzel Journal: Ann Work Expo Health Date: 2022-04-07 Impact factor: 2.779