IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v68y2009i12p2190-2198.html
   My bibliography  Save this article

Looking for resilience: Understanding the longitudinal trajectories of responses to stress

Author

Listed:
  • Norris, Fran H.
  • Tracy, Melissa
  • Galea, Sandro

Abstract

Taking advantage of two large, population-based, and longitudinal datasets collected after the 1999 floods in Mexico (n = 561) and the September 11, 2001 terrorist attacks in New York (n = 1267), we examined the notion that resilience may be best understood and measured as one member of a set of trajectories that may follow exposure to trauma or severe stress. We hypothesized that resistance, resilience, recovery, relapsing/remitting, delayed dysfunction, and chronic dysfunction trajectories were all possible in the aftermath of major disasters. Semi-parametric group-based modeling yielded the strongest evidence for resistance (no or mild and stable symptoms), resilience (initially moderate or severe symptoms followed by a sharp decrease), recovery (initially moderate or severe symptoms followed by a gradual decrease), and chronic dysfunction (moderate or severe and stable symptoms), as these trajectories were prevalent in both samples. Neither Mexico nor New York showed a relapsing/remitting trajectory, and only New York showed a delayed dysfunction trajectory. Understanding patterns of psychological distress over time may present opportunities for interventions that aim to increase resilience, and decrease more adverse trajectories, after mass traumatic events.

Suggested Citation

  • Norris, Fran H. & Tracy, Melissa & Galea, Sandro, 2009. "Looking for resilience: Understanding the longitudinal trajectories of responses to stress," Social Science & Medicine, Elsevier, vol. 68(12), pages 2190-2198, June.
  • Handle: RePEc:eee:socmed:v:68:y:2009:i:12:p:2190-2198
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(09)00181-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bobby L. Jones & Daniel S. Nagin & Kathryn Roeder, 2001. "A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories," Sociological Methods & Research, , vol. 29(3), pages 374-393, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
    2. Patrick Sturgis & Louise Sullivan, 2008. "Exploring social mobility with latent trajectory groups," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 65-88, January.
    3. Dirlam, Jonathan & Zheng, Hui, 2017. "Job satisfaction developmental trajectories and health: A life course perspective," Social Science & Medicine, Elsevier, vol. 178(C), pages 95-103.
    4. Dmytro Babik & Rahul Singh & Xia Zhao & Eric W. Ford, 2017. "What you think and what I think: Studying intersubjectivity in knowledge artifacts evaluation," Information Systems Frontiers, Springer, vol. 19(1), pages 31-56, February.
    5. Michael S. Pollard & Harold D. Green & David P. Kennedy & Myong-Hyun Go & Joan S. Tucker, 2013. "Adolescent Friendship Networks and Trajectories of Binge Drinking," Working Papers WR-998, RAND Corporation.
    6. Min Hua Jen & Ron Johnston & Kelvyn Jones & Richard Harris & Axel Gandy, 2010. "International Variations In Life Expectancy: A Spatio‐Temporal Analysis," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 101(1), pages 73-90, February.
    7. Daniel McNeish & Jeffrey R. Harring, 2017. "The Effect of Model Misspecification on Growth Mixture Model Class Enumeration," Journal of Classification, Springer;The Classification Society, vol. 34(2), pages 223-248, July.
    8. Jennings, Wesley G. & Loeber, Rolf & Ahonen, Lia & Piquero, Alex R. & Farrington, David P., 2018. "An examination of developmental patterns of chronic offending from self-report records and official data: Evidence from the Pittsburgh Girls Study (PGS)," Journal of Criminal Justice, Elsevier, vol. 55(C), pages 71-79.
    9. McDonough, Peggy & Sacker, Amanda & Wiggins, Richard D., 2005. "Time on my side? Life course trajectories of poverty and health," Social Science & Medicine, Elsevier, vol. 61(8), pages 1795-1808, October.
    10. Karlamangla, Arun S. & Singer, Burton H. & Williams, David R. & Schwartz, Joseph E. & Matthews, Karen A. & Kiefe, Catarina I. & Seeman, Teresa E., 2005. "Impact of socioeconomic status on longitudinal accumulation of cardiovascular risk in young adults: the CARDIA Study (USA)," Social Science & Medicine, Elsevier, vol. 60(5), pages 999-1015, March.
    11. Simon Larose & Stéphane Duchesne & David Litalien & Anne-Sophie Denault & Michel Boivin, 2019. "Adjustment Trajectories During the College Transition: Types, Personal and Family Antecedents, and Academic Outcomes," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(5), pages 684-710, August.
    12. McCuish, Evan C. & Corrado, Raymond R. & Hart, Stephen D. & DeLisi, Matt, 2015. "The role of symptoms of psychopathy in persistent violence over the criminal career into full adulthood," Journal of Criminal Justice, Elsevier, vol. 43(4), pages 345-356.
    13. Silvia Montagna & Surya T. Tokdar & Brian Neelon & David B. Dunson, 2012. "Bayesian Latent Factor Regression for Functional and Longitudinal Data," Biometrics, The International Biometric Society, vol. 68(4), pages 1064-1073, December.
    14. Frank Rijmen & Edward H. Ip & Stephen Rapp & Edward G. Shaw, 2008. "Qualitative longitudinal analysis of symptoms in patients with primary and metastatic brain tumours," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 739-753, June.
    15. LEBIHAN, Laetitia & MAO TAKONGMO, Charles Olivier, 2018. "Mathematics Trajectories and Risk Factors During Childhood," MPRA Paper 88612, University Library of Munich, Germany.
    16. Corrado, Raymond R. & McCuish, Evan C. & Hart, Stephen D. & DeLisi, Matt, 2015. "The role of psychopathic traits and developmental risk factors on offending trajectories from early adolescence to adulthood: A prospective study of incarcerated youth," Journal of Criminal Justice, Elsevier, vol. 43(4), pages 357-368.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:68:y:2009:i:12:p:2190-2198. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.