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Disaster Survivors’ Anticipated Received Support in a Future Disaster

Published online by Cambridge University Press:  20 February 2018

Sarah R. Lowe ,
Megan N. Young ,
Joie Acosta ,
Laura Sampson ,
Oliver Gruebner  and
Sandro Galea
Sarah R. Lowe*
Affiliation:
Department of Psychology, Montclair State University, Montclair, New Jersey
Megan N. Young
Affiliation:
Department of Psychology, Montclair State University, Montclair, New Jersey
Joie Acosta
Affiliation:
RAND, Corp, Washington DC
Laura Sampson
Affiliation:
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
Oliver Gruebner
Affiliation:
Robert Koch Institute, Berlin, Germany
Sandro Galea
Affiliation:
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
*
Correspondence and reprint requests to Sarah R. Lowe, Department of Psychology, Montclair State University, 1 Normal Avenue, Montclair, NJ 07043 (e-mail: [email protected]).
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Abstract

Objective

This study aimed to examine factors associated with receipt of post-disaster support from network (eg, family or friends) and non-network (eg, government agencies) sources.

Methods

Participants (n=409) were from a population-based sample of Hurricane Sandy survivors surveyed 25-28 months post-disaster. Survivors were asked to imagine a future disaster and indicate how much they would depend on network and non-network sources of support. In addition, they reported on demographic characteristics, disaster-related exposure, post-traumatic stress, and depression. Information on the economic and social resources in survivors’ communities was also collected.

Results

Multilevel multivariable regression models found that lack of insurance coverage and residence in a neighborhood wherein more persons lived alone were associated with survivors anticipating less network and non-network support. In addition, being married or cohabiting was significantly associated with more anticipated network support, whereas older age and having a high school education or less were significantly associated with less anticipated network support.

Conclusions

By having survivors anticipate a future disaster scenario, this study provides insight into predictors of post-disaster receipt of network and non-network support. Further research is needed to examine how these findings correspond to survivors’ received support in the aftermath of future disasters. (Disaster Med Public Health Preparedness. 2018;12:711-717)

Keywords

natural disastersHurricane Sandysocial supportsocial networks
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 12 , Issue 6 , December 2018 , pp. 711 - 717
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2018 

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References

1. Kaniasty, K, Norris, FH. Distinctions that matter: received social support, perceived social support, and social embeddedness after disasters. In: Neria Y, Galea S, Norris, FH, eds. Mental Health and Disasters. New York: Cambridge University Press; 2009.Google Scholar
2. Platt, JM, Lowe, SR, Galea, S, et al. A longitudinal study of the bidirectional relationship between social support and posttraumatic stress following a natural disaster. J Trauma Stress. 2016;29:205-213.Google Scholar
3. Peacock, WG, Van Zandt, S, Zhang, Y, et al. Inequities in long-term housing recovery after disasters. J Am Plan Assoc. 2014;80:356-371.Google Scholar
4. Tuason, MTG, Güss, CD, Carroll, L. The disaster continues: a qualitative study on the experiences of displaced Hurricane Katrina survivors. Prof Psychol Res Pract. 2012;43:288-297.Google Scholar
5. Paxson, C, Fussell, E, Rhodes, J. Five years later: recovery from post traumatic stress and psychological distress among low-income mothers affected by Hurricane Katrina. Soc Sci Med. 2012;74:150-157.Google Scholar
6. Wen, J, Shi, YK, Li, YP, et al. Quality of life, physical diseases, and psychological impairment among survivors 3 years after Wenchuan earthquake: a population based survey. PLoS One. 2012;7:e43081.Google Scholar
7. Siegrist, M, Gutscher, H. Natural hazards and motivation for mitigation behavior: people cannot predict the affect evoked by a severe flood. Risk Anal. 2008;28:771-778.Google Scholar
8. Weinstein, ND, Lyon, JE, Rothman, AJ, et al. Preoccupation and affect as predictors of protective action following natural disaster. Br J Health Psychol. 2000;5:351-363.Google Scholar
9. Kaniasty, KZ, Norris, FH, Murrell, SA. Received and perceived social support following natural disaster. J Appl Soc Psychol. 1990;20:85-114.Google Scholar
10. Kaniasty, K, Norris, FH. Help-seeking comfort and receiving social support: the role of ethnicity and context of need. Am J Commun Psychol. 2000;28:545-581.Google Scholar
11. Kaniasty, K, Norris, FH. In search of altruistic community: patterns of social support mobilization following Hurricane Hugo. Am J Commun Psychol. 1995;23:447-477.Google Scholar
12. Kaniasty, K, Norris, FH. A test of the social support deterioration model in the context of natural disaster. J Pers Soc Psychol. 1993;64:395-408.Google Scholar
13. Norris, FH, Kaniasty, K. Received and perceived social support in times of stress: a test of the social support deterioration deterrence model. J Pers Soc Psychol. 1996;71:498-511.Google Scholar
14. Frankenberg, E, Nobles, J, Sumantri, C. Community destruction and traumatic stress in post-tsunami Indonesia. J Health Soc Behav. 2012;53:498-514.Google Scholar
15. Wind, TR, Komproe, IH. The mechanisms that associate community social capital with post-disaster mental health: a multilevel model. Soc Sci Med. 2012;75:1715-1720.Google Scholar
16. New York City Community Development Block Grant-Disaster Recovery [NYC CDBG-DR]: Partial Action Plan A. http://www.nyc.gov/cdbg. Published 2013. Accessed August 24, 2014.Google Scholar
17. Lowe, SR, Sampson, L, Gruebner, O, Galea, S. Psychological resilience after Hurricane Sandy: the influence of individual- and community-level factors on mental health after a large-scale natural disaster. PLoS ONE. 2015;10:e0125761.Google Scholar
18. American Association for Public Opinion Research. Standard definitions: final dispositions of case codes and outcome rates for surveys. http://www.aapor.org/AM/Template.cfm?Section=Standard_Definitions2&Template=/CM/ContentDisplay.cfm&ContentID=3156. Published 2011. Accessed August 23, 2014.Google Scholar
19. Galea, S, Tracy, M. Participation rates in epidemiologic studies. Ann Epidemiol. 2007;17:643-653.Google Scholar
20. Galea, S, Brewin, CR, Gruber, M, et al. Exposure to hurricane-related stressors and mental illness after Hurricane Katrina. Arch Gen Psychiatry. 2007;64:1427-1434.Google Scholar
21. Tracy, M, Norris, FH, Galea, S. Differences in the determinants of posttraumatic stress disorder and depression after a mass traumatic event. Depress Anxiety. 2011;28:666-675.Google Scholar
22. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Washington, DC: American Psychiatric Association; 2013.Google Scholar
23. Weathers, FW, Litz, BT, Keane, TM, et al. The PTSD Checklist for DSM-5 (PCL-5). www.ptsd.va.gov. Published 2013. Accessed July 8, 2015.Google Scholar
24. Blevins, CA, Weathers, FW, Davis, MT, et al. The posttraumatic stress disorder checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress. 2015;28:489-498.Google Scholar
25. Kroenke, K, Spitzer, R. The PHQ-9: a new depression diagnostic and severity measure. Psychiatr Ann. 2002;32:1-9.Google Scholar
26. Kroenke, K, Spitzer, R, Williams, J. The PHQ-9: validity of a 706 brief depression severity measure. J Gen Intern Med. 2002;16:606-613.Google Scholar
27. Infoshare Online/Community Studies of New York, Inc. Area comparison table [Data file]. Armonk, NY, IBM Corp. http://www.infoshare.org/. Published 2012. Accessed February 18, 2013.Google Scholar
28. Phongsavan, P, Chey, T, Bauman, A, et al. Social capital, socio-economic status and psychological distress among Australian adults. Soc Sci Med. 2006;63:2546-2561.Google Scholar
29. IBM. SPSS Statistics for Windows, Version 21.0. Armonk: IBM Corp.Google Scholar
30. Muthén, LK, Muthén, BO. Mplus User’s Guide, 7th ed. Los Angeles: Muthén & Muthén; 1998-2012.Google Scholar
31. Mathbor, GM. Enhancement of community preparedness for natural disasters the role of social work in building social capital for sustainable disaster relief and management. Int Soc Work. 2007;50:357-369.Google Scholar
32. Walsh, F. Traumatic loss and major disasters: strengthening family and community resilience. Fam Process. 2007;46:207-227.Google Scholar
33. Velden, PG, Yzermans, CJ, Kleber, RJ, et al. Correlates of mental health services utilization 18 months and almost 4 years postdisaster among adults with mental health problems. J Trauma Stress. 2007;20:1029-1039.Google Scholar
34. Lowe, SR, Fink, DS, Norris, FH, et al. Frequencies and predictors of barriers to mental health service use: a longitudinal study of Hurricane Ike survivors. Soc Psychiatry Psychiatr Epidemiol. 2015;50:99-108.Google Scholar