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      Coping with oil spills: oil exposure and anxiety among residents of Gulf Coast states after the Deepwater Horizon Oil Spill

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          Abstract

          In April 2010, a fatal explosion on the Deepwater Horizon drilling rig in the Gulf of Mexico resulted in the largest marine oil spill in history. This research describes the association of oil exposure with anxiety after the Deepwater Horizon Oil Spill and evaluates effect modification by self-mastery, emotional support and cleanup participation. To assess the impacts of the Deepwater Horizon Oil Spill, the Centers for Disease Control and Prevention (CDC) conducted the Gulf States Population Survey (GSPS), a random-digit-dial telephone cross-sectional survey completed between December 2010 and December 2011 with 38,361 responses in four different Gulf Coast states: Louisiana, Florida, Alabama and Mississippi. Anxiety severity was measured using the Generalised Anxiety Disorder (GAD) symptom inventory. We used Tobit regression to model underlying anxiety as a function of oil exposure and hypothesised effect modifiers, adjusting for socio-demographics. Latent anxiety was higher among those with direct contact with oil than among those who did not have direct contact with oil in confounder-adjusted models [β = 2.84, 95% confidence interval (CI): 0.78, 4.91]. Among individuals with direct contact with oil, there was no significant interaction between participating in cleanup activities and emotional support for anxiety ( p = 0.20). However, among those with direct contact with oil, in confounder-adjusted models, participation in oil spill cleanup activities was associated with lower latent anxiety (β = −3.55, 95% CI: −6.15, −0.95). Oil contact was associated with greater anxiety, but this association appeared to be mitigated by cleanup participation.

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          Estimation of Relationships for Limited Dependent Variables

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            Multiple imputation by chained equations: what is it and how does it work?

            Multivariate imputation by chained equations (MICE) has emerged as a principled method of dealing with missing data. Despite properties that make MICE particularly useful for large imputation procedures and advances in software development that now make it accessible to many researchers, many psychiatric researchers have not been trained in these methods and few practical resources exist to guide researchers in the implementation of this technique. This paper provides an introduction to the MICE method with a focus on practical aspects and challenges in using this method. A brief review of software programs available to implement MICE and then analyze multiply imputed data is also provided.
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              The structure of coping.

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                Author and article information

                Journal
                UCL Open Environ
                UCLOE
                UCL Open Environment
                UCL Open Environ
                UCL Press (UK )
                2632-0886
                27 May 2022
                2022
                : 4
                : e035
                Affiliations
                [1 ]Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA
                [2 ]Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA
                [3 ]National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA 30345, USA
                [4 ]Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL 35294, USA
                Author notes
                *Corresponding author: E-mail: mgribble@ 123456uab.edu
                Author information
                https://orcid.org/0000-0002-0821-026X
                https://orcid.org/0000-0002-4043-3180
                https://orcid.org/0000-0003-1898-6202
                https://orcid.org/0000-0003-4307-7641
                https://orcid.org/0000-0002-1614-2981
                Article
                10.14324/111.444/ucloe.000035
                9491446
                36148383
                b0144c62-e119-4c8f-9531-6119e2e31d75
                © 2022 The Authors.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence (CC BY) 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 March 2021
                : 12 April 2022
                Page count
                Figures: 1, Tables: 6, References: 42, Pages: 10
                Categories
                Research Article

                Gulf States Population Survey (GSPS),emergency response,mental health,disaster recovery,generalised anxiety

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