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Examining Factors Influencing Protective Actions Among Persons with Disabilities During the December 10–11, 2021, Tornado Outbreak in the United States

Published online by Cambridge University Press:  01 September 2023

Jennifer M. First*
Affiliation:
College of Social Work, University of Tennessee, Knoxville, TN, USA
Sangwon Lee
Affiliation:
College of Social Work, University of Tennessee, Knoxville, TN, USA
*
Corresponding author: Jennifer M. First, Email: [email protected].

Abstract

Objective:

This study examined various factors influencing protective actions among persons with disabilities exposed to the December 10–11, 2021, tornado outbreak in the US Midwest and Southeastern regions.

Methods:

Survey administration occurred 5 months following the tornado outbreak and included a total of 209 persons with disabilities who lived in one of the counties impacted by tornado warnings. Structural equation modeling was used to examine the direct and indirect effects of hypothesized predictors impacting protective behavioral actions.

Results:

Results found that persons with disabilities who had access to more tornado warning sources increased their protective actions, and tornado risk perception further mediated the relationship between warning information sources and protective actions. In addition, results found that persons with disabilities who encountered more situational barriers in their physical and social environment were found to have a decrease in protective action, and having more situational resources was found to contribute to the ability to take protective action.

Conclusions:

The current study’s results highlight the need for policies and practices that provide additional physical and social resources for persons with disabilities to seek protection during tornado threats.

Type
Original Research
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health

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References

December 10-11, 2021 Tornado Outbreak. National Weather Service. Published December 2021. Accessed December 9, 2022. https://www.weather.gov/ohx/20211211 Google Scholar
Stough, LM, Mayhorn, CB. Population segments with disabilities. Int J Mass Emerg Disasters. 2013;31(3):384-402. doi: 10.1177/028072701303100306 CrossRefGoogle Scholar
Elisala, N, Turagabeci, A, Mohammadnezhad, M, et al. Exploring persons with disabilities preparedness, perceptions and experiences of disasters in Tuvalu. Federici S, ed. PLoS One. 2020;15(10):e0241180. doi: 10.1371/journal.pone.0241180 CrossRefGoogle ScholarPubMed
Stough, LM, Ducy, EM, Holt, JM. Changes in the social relationships of individuals with disabilities displaced by disaster. Int J Disaster Risk Reduct. 2017;24:474-481. doi: 10.1016/j.ijdrr.2017.06.020 CrossRefGoogle Scholar
Disability and Health Overview. Centers for Disease Control and Prevention (CDC). Published 2020. Accessed January 23, 2023. https://www.cdc.gov/ncbddd/disabilityandhealth/disability.html Google Scholar
Okoro, CA, Hollis, ND, Cyrus, AC, et al. Prevalence of disabilities and health care access by disability status and type among adults—United States, 2016. MMWR Morb Mortal Wkly Rep. 2018;67(32):882-887. doi: 10.15585/mmwr.mm6732a3 CrossRefGoogle Scholar
Morss, RE, Lazo, JK, Demuth, JL. Examining the use of weather forecasts in decision scenarios: results from a US survey with implications for uncertainty communication. Meteorol Appl. 2010;17(2):149-162. doi: 10.1002/met.196 CrossRefGoogle Scholar
Lindell, MK, Perry, RW. The protective action decision model: theoretical modifications and additional evidence. Risk Anal. 2011;32(4):616-632. doi: 10.1111/j.1539-6924.2011.01647.x CrossRefGoogle ScholarPubMed
Sherman-Morris, K. The public response to hazardous weather events: 25 years of research. Geogr. Compass. 2013;7(10):669-685. doi: 10.1111/gec3.12076 CrossRefGoogle Scholar
Rogers, RW. A protection motivation theory of fear appeals and attitude change1. J Psychol. 1975;91(1):93-114. doi: 10.1080/00223980.1975.9915803 CrossRefGoogle ScholarPubMed
Liu, BF, Fraustino, JD, Jin, Y. How disaster information form, source, type, and prior disaster exposure affect public outcomes: jumping on the social media bandwagon? J Appl Commun Res. 2014;43(1):44-65. doi: 10.1080/00909882.2014.982685 CrossRefGoogle Scholar
Mason, LR, Ellis, KN, Winchester, B, et al. Tornado warnings at night: who gets the message? Weather Clim Soc. 2018;10(3):561-568. doi: 10.1175/wcas-d-17-0114.1 CrossRefGoogle Scholar
Ripberger, JT, Silva, CL, Jenkins-Smith, HC, et al. The influence of consequence-based messages on public responses to tornado warnings. Bull Am Meteorol Soc. 2015;96(4):577-590. doi: 10.1175/bams-d-13-00213.1 CrossRefGoogle Scholar
Hoekstra, S, Klockow, K, Riley, R, et al. A preliminary look at the social perspective of warn-on-forecast: preferred tornado warning lead time and the general public’s perceptions of weather risks. Weather Clim Soc. 2011;3(2):128-140. doi: 10.1175/2011wcas1076.1 CrossRefGoogle Scholar
Egnoto, MJ, Svetieva, E, Vishwanath, A, Ortega, CR. Diffusion of emergency information during a crisis within a university. J Homel Secur Emerg Manag. 2013;10(1):267-287. doi: 10.1515/jhsem-2012-0082 Google Scholar
Perreault, MF, Houston, JB, Wilkins, L. Does scary matter? Testing the effectiveness of new national weather service tornado warning messages. Commun Stud. 2014;65(5):484-499. doi: 10.1080/10510974.2014.956942 CrossRefGoogle Scholar
Bockarjova, M, Steg, L. Can protection motivation theory predict pro-environmental behavior? Explaining the adoption of electric vehicles in the Netherlands. Glob Environ Change. 2014;28:276-288. doi: 10.1016/j.gloenvcha.2014.06.010 CrossRefGoogle Scholar
Nagele, DE, Trainor, JE. Geographic specificity, tornadoes, and protective action. Weather Clim Soc. 2012;4(2):145-155. http://www.jstor.org/stable/24907470 CrossRefGoogle Scholar
Senkbeil, JC, Scott, DA, Guinazu-Walker, P, et al. Ethnic and racial differences in tornado hazard perception, preparedness, and shelter lead time in Tuscaloosa. Prof Geogr. 2013;66(4):610-620. doi: 10.1080/00330124.2013.826562 CrossRefGoogle Scholar
Guo, Y, An, S, Comes, T. From warning messages to preparedness behavior: the role of risk perception and information interaction in the COVID-19 pandemic. Int J Disaster Risk Reduct. 2022;73:102871. doi: 10.1016/j.ijdrr.2022.102871 CrossRefGoogle ScholarPubMed
First, JM, Ellis, K, Strader, S. Double trouble: examining public protective decision-making during concurrent tornado and flash flood threats in the U.S. Southeast. Int J Disaster Risk Reduct. 2022;81:103297. doi: 10.1016/j.ijdrr.2022.103297 CrossRefGoogle Scholar
Cruddas, S. An introduction to structural equation modelling for emergency services and disaster research. Int J Emerg Serv. 2013;2(2):131-140. doi: 10.1108/ijes-07-2012-0031 CrossRefGoogle Scholar
Kline, RB. Principles and practice of structural equation modeling. 4th ed. Guilford Publications; 2016.Google Scholar
Quail, J, Barker, R, West, C. Experiences of individuals with physical disabilities in natural disasters: an integrative review. Aust J Emerg Manag. 2018;33:58-63. https://researchonline.jcu.edu.au/54944/ Google Scholar
Sherman-Morris, K, Pechacek, T, Griffin, DJ, et al. Tornado warning awareness, information needs and the barriers to protective action of individuals who are blind. Int J Disaster Risk Reduct. 2020;50:101709. doi: 10.1016/j.ijdrr.2020.101709 CrossRefGoogle Scholar
Kailes, JI, Enders, A. Moving beyond “special needs.” J Disabil Policy Stud. 2007;17(4):230-237. doi: 10.1177/10442073070170040601 CrossRefGoogle Scholar
Christensen, KM, Salmi, P. The impact of building design on evacuation of persons with disabilities. Impact. 2007;20(1): 20-21.Google Scholar
Blake, KS, Simic, A. Elderly housing consumption: historical patterns and projected trends. U.S. Department of Housing and Urban Development. Published 2005:1-38. Accessed Feburary 21, 2023. https://www.huduser.gov/datasets/ahs/elderly_housing_consumption.pdf Google Scholar
Strader, SM, Ash, K, Wagner, E, et al. Mobile home resident evacuation vulnerability and emergency medical service access during tornado events in the Southeast United States. Int J Disaster Risk Reduct. 2019;38:101210. doi: 10.1016/j.ijdrr.2019.101210 CrossRefGoogle Scholar
Tierney, KJ. The social roots of risk: producing disasters, promoting resilience (high reliability and crisis management). Stanford Business Books; 2014.Google Scholar
Wisner, B, Blaikie, P, Cannon, T, Davis, I. At risk: natural hazards, people’s vulnerability and disasters. 2nd ed. Routledge; 2004.Google Scholar
First, JM, Danforth, L, Frisby, CM, et al. Posttraumatic stress related to the killing of Michael Brown and resulting civil unrest in Ferguson, Missouri: roles of protest engagement, media use, race, and resilience. J Soc Soc Work Res. 2020;11(3):369-391. doi: 10.1086/711162 CrossRefGoogle Scholar
First, JM, Ellis, K, Held, ML, et al. Identifying risk and resilience factors impacting mental health among black and Latinx adults following nocturnal tornadoes in the U.S. Southeast. Int J Environ Res Public Health. 2021;18(16):8609. doi: 10.3390/ijerph18168609 CrossRefGoogle ScholarPubMed
Ton, KT, Gaillard, JC, Adamson, CE, et al. Expanding the capabilities of people with disabilities in disaster risk reduction. Int J Disaster Risk Reduct. 2019;34:11-17. doi: 10.1016/j.ijdrr.2018.11.002 CrossRefGoogle Scholar
R: The R Project for Statistical Computing. R-project.org. Published 2019. Accessed December 9, 2022. http://www.R-project.org/ Google Scholar
Little, TD, Card, NA. Longitudinal structural equation modeling. Guilford Press; 2013.Google Scholar
Preacher, KJ, Hayes, AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879-891.CrossRefGoogle ScholarPubMed
Senkbeil, JC, Griffin, DJ, Sherman-Morris, K, et al. Improving tornado warning communication for deaf and hard of hearing audiences. J Operat Meteorol. 2021;9:18-35. doi: 10.15191/nwajom.2021.0902 CrossRefGoogle Scholar
Charlton, J. Nothing about us without us: disability oppression and empowerment. University of California Press; 1998.Google Scholar