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Post-traumatic stress disorder associated with natural and human-made disasters in the World Mental Health Surveys

Published online by Cambridge University Press:  30 August 2016

E. J. Bromet ,
L. Atwoli ,
N. Kawakami ,
F. Navarro-Mateu ,
P. Piotrowski ,
A. J. King ,
S. Aguilar-Gaxiola ,
J. Alonso ,
B. Bunting  and
K. Demyttenaere
...Show all authors
E. J. Bromet*
Affiliation:
Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
L. Atwoli
Affiliation:
Department of Mental Health, Moi University School of Medicine, Eldoret, Kenya
N. Kawakami
Affiliation:
Department of Mental Health, School of Public Health, The University of Tokyo, Tokyo, Japan
F. Navarro-Mateu
Affiliation:
Subdirección General de Salud Mental, Servicio Murciano de Salud, IMIB-Arrixaca, CIBER de Epidemiología y Salud Pública (CIBERESP), Murcia, Spain
P. Piotrowski
Affiliation:
Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
A. J. King
Affiliation:
Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
S. Aguilar-Gaxiola
Affiliation:
University of California Davis School of Medicine, Sacramento, CA, USA
J. Alonso
Affiliation:
IMIM-Hospital del Mar Research Institute, Parc de Salut Mar, Barcelona, Spain Pompeu Fabra University (UPF), Barcelona, Spain CIBER en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
B. Bunting
Affiliation:
School of Psychology, University of Ulster, Londonderry, UK
K. Demyttenaere
Affiliation:
Department of Psychiatry, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium
S. Florescu
Affiliation:
National School of Public Health, Management and Professional Development, Bucharest, Romania
G. de Girolamo
Affiliation:
IRCCS St. John of God Clinical Research Centre, Brescia, Italy
S. Gluzman
Affiliation:
Ukrainian Psychiatric Association, Kiev, Ukraine
J. M. Haro
Affiliation:
Parc Sanitari Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain
P. de Jonge
Affiliation:
Department of Psychiatry, Interdisciplinary Center, Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
E. G. Karam
Affiliation:
Department of Psychiatry and Clinical Psychology, Faculty of Medicine, Balamand University, Beirut, Lebanon Department of Psychiatry and Clinical Psychology, St George Hospital University Medical Center, Beirut, Lebanon Institute for Development Research Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
S. Lee
Affiliation:
Department of Psychiatry, Chinese University of Hong Kong, Tai Po, Hong Kong
V. Kovess-Masfety
Affiliation:
Ecole des Hautes Etudes en Santé Publique (EHESP), EA 4057 Paris Descartes University, Paris, France
M. E. Medina-Mora
Affiliation:
Ramon de la Fuente Muñiz National Institute of Psychiatry, Mexico City, Mexico
Z. Mneimneh
Affiliation:
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
B.-E. Pennell
Affiliation:
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
J. Posada-Villa
Affiliation:
Colegio Mayor de Cundinamarca University, Bogota, Colombia
D. Salmerón
Affiliation:
Department of Epidemiology, Department of Health and Social Sciences, Murcia Regional Health Council, IMIB-Arrixaca, CIBER Epidemiología y Salud Pública (CIBERESP), Universidad de Murcia, Murcia, Spain
T. Takeshima
Affiliation:
Department of Health and Welfare for the Disabled, Health and Welfare Bureau, Kawasaki City, Japan
R. C. Kessler
Affiliation:
Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
*
*Address for correspondence: E. J. Bromet, Ph.D., Department of Psychiatry, Stony Brook University, Health Sciences Center, T10-060Z1, Stony Brook, NY 11794, USA. (Email: [email protected])
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Abstract

Background

Research on post-traumatic stress disorder (PTSD) following natural and human-made disasters has been undertaken for more than three decades. Although PTSD prevalence estimates vary widely, most are in the 20–40% range in disaster-focused studies but considerably lower (3–5%) in the few general population epidemiological surveys that evaluated disaster-related PTSD as part of a broader clinical assessment. The World Mental Health (WMH) Surveys provide an opportunity to examine disaster-related PTSD in representative general population surveys across a much wider range of sites than in previous studies.

Method

Although disaster-related PTSD was evaluated in 18 WMH surveys, only six in high-income countries had enough respondents for a risk factor analysis. Predictors considered were socio-demographics, disaster characteristics, and pre-disaster vulnerability factors (childhood family adversities, prior traumatic experiences, and prior mental disorders).

Results

Disaster-related PTSD prevalence was 0.0–3.8% among adult (ages 18+) WMH respondents and was significantly related to high education, serious injury or death of someone close, forced displacement from home, and pre-existing vulnerabilities (prior childhood family adversities, other traumas, and mental disorders). Of PTSD cases 44.5% were among the 5% of respondents classified by the model as having highest PTSD risk.

Conclusion

Disaster-related PTSD is uncommon in high-income WMH countries. Risk factors are consistent with prior research: severity of exposure, history of prior stress exposure, and pre-existing mental disorders. The high concentration of PTSD among respondents with high predicted risk in our model supports the focus of screening assessments that identify disaster survivors most in need of preventive interventions.

Keywords

Disasterpost-traumatic stress disorderPTSD
Type
Original Articles
Information
Psychological Medicine , Volume 47 , Issue 2 , January 2017 , pp. 227 - 241
Copyright
Copyright © Cambridge University Press 2016 

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References

Amos, T, Stein, DJ, Ipser, JC (2014). Pharmacological interventions for preventing post-traumatic stress disorder (PTSD). Cochrane Database of Systematic Reviews 7, CD006239.Google Scholar
Benjet, C, Bromet, E, Karam, EG, Kessler, RC, McLaughlin, KA, Ruscio, AM, Shahly, V, Stein, DJ, Petukhova, M, Hill, E, Alonso, J, Atwoli, L, Bunting, B, Bruffaerts, R, Caldas-de-Almeida, JM, de Girolamo, G, Florescu, S, Gureje, O, Huang, Y, Lepine, JP, Kawakami, N, Kovess-Masfety, V, Medina-Mora, ME, Navarro-Mateu, F, Piazza, M, Posada-Villa, J, Scott, KM, Shalev, A, Slade, T, ten Have, M, Torres, Y, Viana, MC, Zarkov, Z, Koenen, KC (2016). The epidemiology of traumatic event exposure worldwide: results from the World Mental Health Survey Consortium. Psychological Medicine 46, 327–343.Google Scholar
Bisson, JI (2014). Early responding to traumatic events. British Journal of Psychiatry 204, 329–330.Google Scholar
Bonanno, GA, Brewin, CR, Kaniasty, K, La Greca, AM (2010). Weighing the costs of disaster: consequences, risks, and resilience in individuals, families, and communities. Psychological Science in the Public Interest 11, 1–49.CrossRefGoogle ScholarPubMed
Breslau, N, Kessler, RC, Chilcoat, HD, Schultz, LR, Davis, GC, Andreski, P (1998). Trauma and posttraumatic stress disorder in the community: the 1996 Detroit Area Survey of Trauma. Archives of General Psychiatry 55, 626–632.Google Scholar
Breslau, N, Troost, JP, Bohnert, K, Luo, Z (2013). Influence of predispositions on post-traumatic stress disorder: does it vary by trauma severity? Psychological Medicine 43, 381–390.CrossRefGoogle ScholarPubMed
Brewin, CR (2005 a). Risk factor effect sizes in PTSD: what this means for intervention. Journal of Trauma & Dissociation 6, 123–130.CrossRefGoogle ScholarPubMed
Brewin, CR (2005 b). Systematic review of screening instruments for adults at risk of PTSD. Journal of Traumatic Stress 18, 53–62.CrossRefGoogle ScholarPubMed
Bromet, EJ, Hobbs, MJ, Clouston, SA, Gonzalez, A, Kotov, R, Luft, BJ (2016). DSM-IV post-traumatic stress disorder among World Trade Center responders 11–13 years after the disaster of 11 September 2001 (9/11). Psychological Medicine 46, 771–783.Google Scholar
Darves-Bornoz, JM, Alonso, J, de Girolamo, G, de Graaf, R, Haro, JM, Kovess-Masfety, V, Lepine, JP, Nachbaur, G, Negre-Pages, L, Vilagut, G, Gasquet, I (2008). Main traumatic events in Europe: PTSD in the European study of the epidemiology of mental disorders survey. Journal of Traumatic Stress 21, 455–462.Google Scholar
Fergusson, DM, Horwood, LJ, Boden, JM, Mulder, RT (2014). Impact of a major disaster on the mental health of a well-studied cohort. JAMA Psychiatry 71, 1025–1031.CrossRefGoogle Scholar
Ferry, F, Bunting, B, Murphy, S, O'Neill, S, Stein, D, Koenen, K (2014). Traumatic events and their relative PTSD burden in Northern Ireland: a consideration of the impact of the ‘Troubles’. Social Psychiatry and Psychiatric Epidemiology 49, 435–446.CrossRefGoogle ScholarPubMed
First, MB, Spitzer, RL, Gibbon, M, Williams, BJ (1994). Structured Clinical Interview for Axis I DSM-IV Disorders. New York State Psychiatric Institute Biometrics Research Department: New York.Google Scholar
Forneris, CA, Gartlehner, G, Brownley, KA, Gaynes, BN, Sonis, J, Coker-Schwimmer, E, Jonas, DE, Greenblatt, A, Wilkins, TM, Woodell, CL, Lohr, KN (2013). Interventions to prevent post-traumatic stress disorder: a systematic review. American Journal of Preventive Medicine 44, 635–650.CrossRefGoogle ScholarPubMed
Galatzer-Levy, IR, Karstoft, KI, Statnikov, A, Shalev, AY (2014). Quantitative forecasting of PTSD from early trauma responses: a machine learning application. Journal of Psychiatric Research 59, 68–76.Google Scholar
Galea, S, Nandi, A, Vlahov, D (2005). The epidemiology of post-traumatic stress disorder after disasters. Epidemiologic Reviews 27, 78–91.Google Scholar
Gardner, M, Altman, D (2000). Statistics with Confidence: Confidence Intervals and Statistical Guidelines. BMJ Books: London.Google Scholar
Goldmann, E, Galea, S (2014). Mental health consequences of disasters. Annual Review of Public Health 35, 169–183.CrossRefGoogle ScholarPubMed
Hanley, JA, McNeil, BJ (1983). A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148, 839–843.Google Scholar
Harkness, J, Pennell, B-P, Villar, A, Gebler, N, Aguilar-Gaxiola, S, Bilgen, I (2008). Translation procedures and translation assessment in the World Mental Health Survey Initiative. In The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders (ed. Kessler, R. C. and Ustun, T. B.), pp. 91–113. Cambridge University Press: New York.Google Scholar
Haro, JM, Arbabzadeh-Bouchez, S, Brugha, TS, de Girolamo, G, Guyer, ME, Jin, R, Lepine, JP, Mazzi, F, Reneses, B, Vilagut, G, Sampson, NA, Kessler, RC (2006). Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health surveys. International Journal of Methods in Psychiatric Research 15, 167–180.CrossRefGoogle ScholarPubMed
Heeringa, SG, Wells, EJ, Hubbard, F, Mneimneh, ZN, Chiu, WT, Sampson, NA, Berglund, PA (2008). Sample designs and sampling procedures. In The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders (ed. Kessler, R. C. and Ustun, T. B.), pp. 14–32. Cambridge University Press: New York.Google Scholar
Karstoft, KI, Galatzer-Levy, IR, Statnikov, A, Li, Z, Shalev, AY (2015). Bridging a translational gap: using machine learning to improve the prediction of PTSD. BMC Psychiatry 15, 30.CrossRefGoogle ScholarPubMed
Kessler, RC, Akiskal, HS, Angst, J, Guyer, M, Hirschfeld, RM, Merikangas, KR, Stang, PE (2006). Validity of the assessment of bipolar spectrum disorders in the WHO CIDI 3.0. Journal of Affective Disorders 96, 259–269.Google Scholar
Kessler, RC, McLaughlin, KA, Green, JG, Gruber, MJ, Sampson, NA, Zaslavsky, AM, Aguilar-Gaxiola, S, Alhamzawi, AO, Alonso, J, Angermeyer, M, Benjet, C, Bromet, E, Chatterji, S, de Girolamo, G, Demyttenaere, K, Fayyad, J, Florescu, S, Gal, G, Gureje, O, Haro, JM, Hu, CY, Karam, EG, Kawakami, N, Lee, S, Lepine, JP, Ormel, J, Posada-Villa, J, Sagar, R, Tsang, A, Ustun, TB, Vassilev, S, Viana, MC, Williams, DR (2010). Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys. British Journal of Psychiatry: the Journal of Mental Science 197, 378–385.CrossRefGoogle ScholarPubMed
Kessler, RC, Rose, S, Koenen, KC, Karam, EG, Stang, PE, Stein, DJ, Heeringa, SG, Hill, ED, Liberzon, I, McLaughlin, KA, McLean, SA, Pennell, BE, Petukhova, M, Rosellini, AJ, Ruscio, AM, Shahly, V, Shalev, AY, Silove, D, Zaslavsky, AM, Angermeyer, MC, Bromet, EJ, de Almeida, JM, de Girolamo, G, de Jonge, P, Demyttenaere, K, Florescu, SE, Gureje, O, Haro, JM, Hinkov, H, Kawakami, N, Kovess-Masfety, V, Lee, S, Medina-Mora, ME, Murphy, SD, Navarro-Mateu, F, Piazza, M, Posada-Villa, J, Scott, K, Torres, Y, Carmen Viana, M (2014). How well can post-traumatic stress disorder be predicted from pre-trauma risk factors? An exploratory study in the WHO World Mental Health Surveys. World Psychiatry 13, 265–274.Google Scholar
Kessler, RC, Sonnega, A, Bromet, E, Hughes, M, Nelson, CB (1995). Posttraumatic stress disorder in the National Comorbidity Survey. Archives of General Psychiatry 52, 1048–1060.Google Scholar
Kessler, RC, Ustun, TB (2004). The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research 13, 93–121.CrossRefGoogle ScholarPubMed
Kliem, S, Kroger, C (2013). Prevention of chronic PTSD with early cognitive behavioral therapy. A meta-analysis using mixed-effects modeling. Behaviour Research and Therapy 51, 753–761.Google Scholar
Knauper, B, Cannell, CF, Schwarz, N, Bruce, ML, Kessler, RC (1999). Improving accuracy of major depression age-of-onset reports in the US National Comorbidity Survey. International Journal of Methods in Psychiatric Research 8, 39–48.CrossRefGoogle Scholar
Landis, JR, Koch, GG (1977). The measurement of observer agreement for categorical data. Biometrics 33, 159–174.Google Scholar
Lopes, AP, Macedo, TF, Coutinho, ES, Figueira, I, Ventura, PR (2014). Systematic review of the efficacy of cognitive-behavior therapy related treatments for victims of natural disasters: a worldwide problem. PLoS ONE 9, e109013.Google Scholar
Molnar, BE, Buka, SL, Kessler, RC (2001). Child sexual abuse and subsequent psychopathology: results from the National Comorbidity Survey. American Journal of Public Health 91, 753–760.Google Scholar
Neria, Y, Nandi, A, Galea, S (2008). Post-traumatic stress disorder following disasters: a systematic review. Psychological Medicine 38, 467–480.Google Scholar
Norris, FH, Friedman, MJ, Watson, PJ, Byrne, CM, Diaz, E, Kaniasty, K (2002). 60,000 disaster victims speak: part I. An empirical review of the empirical literature, 1981–2001. Psychiatry 65, 207–239.CrossRefGoogle Scholar
Norris, FH, Galea, S, Friedman, MJ, Watson, PJ (2006). Methods for Disaster Mental Health Research. Guilford Press: New York.Google Scholar
North, CS (2014). Current research and recent breakthroughs on the mental health effects of disasters. Current Psychiatry Reports 16, 481.CrossRefGoogle ScholarPubMed
North, CS, Pfefferbaum, B (2013). Mental health response to community disasters: a systematic review. Journal of the American Medical Association 310, 507–518.Google Scholar
Olaya, B, Alonso, J, Atwoli, L, Kessler, RC, Vilagut, G, Haro, JM (2015). Association between traumatic events and post-traumatic stress disorder: results from the ESEMeD-Spain study. Epidemiology and Psychiatric Sciences 24, 172–183.Google Scholar
Peduzzi, P, Concato, J, Kemper, E, Holford, TR, Feinstein, AR (1996). A simulation study of the number of events per variable in logistic regression analysis. Journal of Clinical Epidemiology 49, 1373–1379.Google Scholar
Reed, JFI (2007). Better binomial confidence intervals. Journal of Modern Applied Statistical Methods 6, 153–161.CrossRefGoogle Scholar
Roemer, L, Litz, BT, Orsillo, SM, Ehlich, PJ, Friedman, MJ (1998). Increases in retrospective accounts of war-zone exposure over time: the role of PTSD symptom severity. Journal of Traumatic Stress 11, 597–605.CrossRefGoogle ScholarPubMed
Roy, N, Thakkar, P, Shah, H (2011). Developing-world disaster research: present evidence and future priorities. Disaster Medicine and Public Health Preparedness 5, 112–116.Google Scholar
SAS Institute Inc. (2008). SAS Software Version 9.2. SAS Institute Inc.: Cary, NC.Google Scholar
Sayed, S, Iacoviello, BM, Charney, DS (2015). Risk factors for the development of psychopathology following trauma. Current Psychiatry Reports 17, 612.Google Scholar
Schreiber, MD, Yin, R, Omaish, M, Broderick, JE (2014). Snapshot from Superstorm Sandy: American Red Cross mental health risk surveillance in lower New York State. Annals of Emergency Medicine 64, 59–65.Google Scholar
Scott, KM, Al-Hamzawi, AO, Andrade, LH, Borges, G, Caldas-de-Almeida, JM, Fiestas, F, Gureje, O, Hu, C, Karam, EG, Kawakami, N, Lee, S, Levinson, D, Lim, CC, Navarro-Mateu, F, Okoliyski, M, Posada-Villa, J, Torres, Y, Williams, DR, Zakhozha, V, Kessler, RC (2014). Associations between subjective social status and DSM-IV mental disorders: results from the World Mental Health surveys. JAMA Psychiatry 71, 1400–1408.CrossRefGoogle ScholarPubMed
Smith, GC, Seaman, SR, Wood, AM, Royston, P, White, IR (2014). Correcting for optimistic prediction in small data sets. American Journal of Epidemiology 180, 318–324.Google Scholar
The World Bank (2012). Data: Countries and Economies. The World Bank Group: Washington, DC.Google Scholar
Warsini, S, West, C, Ed Tt, GD, Res Meth, GC, Mills, J, Usher, K (2014). The psychosocial impact of natural disasters among adult survivors: an integrative review. Issues in Mental Health Nursing 35, 420–436.Google Scholar
Wolter, KM (1985). Introduction to Variance Estimation. Springer-Verlag: New York.Google Scholar
Zou, KH, O'Malley, AJ, Mauri, L (2007). Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circulation 115, 654–657.Google Scholar
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