Psychiatry Research
Volume 176, Issue 1 , Pages 55-61, 30 March 2010

Spatial proximity and the risk of psychopathology after a terrorist attack

  • Charles DiMaggio

      Affiliations

    • Department of Epidemiology, Columbia University, Mailman School of Pubic Health, 722 West 168 St, New York, NY, USA
    • Department of Anesthesiology, Columbia University, College of Physicians and Surgeons, New York, NY, USA
    • Corresponding Author InformationCorresponding author. Department of Epidemiology Mailman School of Public Health Columbia University 722 West 168 St. Room 1117 New York, NY 10032.
  • ,
  • Sandro Galea

      Affiliations

    • Department of Epidemiology, Columbia University, Mailman School of Pubic Health, 722 West 168 St, New York, NY, USA
    • Department of Epidemiology, School of Public Health, and Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
  • ,
  • Michael Emch

      Affiliations

    • Department of Geography, University of North Carolina, Chapel Hill, NC, USA

Received 27 September 2007; received in revised form 6 June 2008; accepted 23 October 2008.

Abstract 

Previous studies concerned with the relation of proximity to the September 11, 2001 terrorist attacks and subsequent psychopathology have produced conflicting results. The goals of this analysis are to assess the appropriateness of using Bayesian hierarchical spatial techniques to answer the question of the role of proximity to a mass trauma as a risk factor for psychopathology. Using a set of individual-level Medicaid data for New York State, and controlling for age, gender, median household income and employment-related exposures, we applied Bayesian hierarchical modeling methods for spatially aggregated data. We found that distance from the World Trade Center site in the post-attack time period was associated with increased risk of anxiety-related diagnoses. In the months following the attack, each 2-mile increment in distance closer to the World Trade Center site was associated with a 7% increase in anxiety-related diagnoses in the population. No similar association was found during a similar time period in the year prior to the attack. We conclude that spatial variables help more fully describe post-terrorism psychiatric risk and may help explain discrepancies in the existing literature about these attacks. These methods hold promise for the characterization of disease risk where spatial patterning of ecologic-level exposures and outcomes merits consideration.

Keywords: Epidemiology, Disasters, Terrorism, Anxiety, Bayes theorem, Spatial analysis

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PII: S0165-1781(08)00379-X

doi:10.1016/j.psychres.2008.10.035

Psychiatry Research
Volume 176, Issue 1 , Pages 55-61, 30 March 2010