TY - JOUR
T1 - Exposure patterns among coast guard responders to the Deepwater Horizon Oil Spill
T2 - A latent class analysis
AU - Gribble, Matthew O.
AU - Keshav, Taj
AU - Denic-Roberts, Hristina
AU - Engel, Lawrence S.
AU - Rusiecki, Jennifer A.
N1 - Publisher Copyright:
© 2022 Wolters Kluwer Health. All rights reserved.
PY - 2022/6/2
Y1 - 2022/6/2
N2 - Background: The Deepwater Horizon Oil Spill was an environmental crisis for which multiple groups, including the United States Coast Guard (USCG), provided emergency response services. A cohort of 5,665 USCG oil spill responders completed postdeployment surveys eliciting information on a variety of topics, including oil spill-related exposures and experiences. Our objective was to determine the most common exposure patterns among USCG responders. Methods: We used latent class analysis based on six indicator variables reflecting different aspects of the responders' experiences: exposure to oil, exposure to engine exhaust fumes or carbon monoxide, hand sanitizer use, sunblock use, mosquito bites, and level of anxiety. We validated our interpretation of these latent classes using ancillary variables. Results: The model distinguished four distinct exposure profiles, which we interpreted as "low overall exposure" (prevalence estimate = 0.18), "low crude oil/exhaust and moderate time outdoors/anxiety (prevalence estimate = 0.18), "high crude oil/exhaust and moderate time outdoors/anxiety" (prevalence estimate = 0.25), and "high overall exposure" (prevalence estimate = 0.38). The validation analysis was consistent with our interpretation of the latent classes. Conclusions: The exposure patterns identified in this analysis can help inform future studies of the health impacts of exposure mixtures among USCG oil spill responders.
AB - Background: The Deepwater Horizon Oil Spill was an environmental crisis for which multiple groups, including the United States Coast Guard (USCG), provided emergency response services. A cohort of 5,665 USCG oil spill responders completed postdeployment surveys eliciting information on a variety of topics, including oil spill-related exposures and experiences. Our objective was to determine the most common exposure patterns among USCG responders. Methods: We used latent class analysis based on six indicator variables reflecting different aspects of the responders' experiences: exposure to oil, exposure to engine exhaust fumes or carbon monoxide, hand sanitizer use, sunblock use, mosquito bites, and level of anxiety. We validated our interpretation of these latent classes using ancillary variables. Results: The model distinguished four distinct exposure profiles, which we interpreted as "low overall exposure" (prevalence estimate = 0.18), "low crude oil/exhaust and moderate time outdoors/anxiety (prevalence estimate = 0.18), "high crude oil/exhaust and moderate time outdoors/anxiety" (prevalence estimate = 0.25), and "high overall exposure" (prevalence estimate = 0.38). The validation analysis was consistent with our interpretation of the latent classes. Conclusions: The exposure patterns identified in this analysis can help inform future studies of the health impacts of exposure mixtures among USCG oil spill responders.
KW - Disaster response
KW - Exposure science
KW - Latent variables
KW - Occupational health
KW - Structural equation modeling
UR - http://www.scopus.com/inward/record.url?scp=85129915943&partnerID=8YFLogxK
U2 - 10.1097/EE9.0000000000000211
DO - 10.1097/EE9.0000000000000211
M3 - Article
AN - SCOPUS:85129915943
SN - 2474-7882
VL - 6
SP - E211
JO - Environmental Epidemiology
JF - Environmental Epidemiology
IS - 3
ER -