Hostname: page-component-8448b6f56d-xtgtn Total loading time: 0 Render date: 2024-04-20T03:03:19.643Z Has data issue: false hasContentIssue false

Diagnostic alterations for post-traumatic stress disorder: examining data from the National Comorbidity Survey Replication and National Survey of Adolescents

Published online by Cambridge University Press:  20 April 2009

Jon D. Elhai*
Affiliation:
University of South Dakota, Vermillion, SD, USA
Julian D. Ford
Affiliation:
University of Connecticut Medical School, Farmington, CT, USA
Kenneth J. Ruggiero
Affiliation:
Medical University of South Carolina, Charleston, SC, USA
B. Christopher Frueh
Affiliation:
Baylor College of Medicine and the Menninger Clinic, Houston, TX, USA
*
*Address for correspondence: J. D. Elhai, Ph.D., Disaster Mental Health Institute, The University of South Dakota, 414 East Clark Street – SDU 114, Vermillion, South Dakota57069-2390, USA. (Email: jonelhai@gmail.com)

Abstract

Background

Two alternative models of post-traumatic stress disorder (PTSD) appear to represent the disorder's latent structure better than the traditional Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) three-factor PTSD model. The present study examines the impact of using these structural models for the diagnosis of lifetime PTSD while retaining the DSM-IV PTSD's six-symptom diagnostic requirement.

Method

Data were gathered from large-scale, epidemiological datasets collected with adults (National Comorbidity Survey Replication) and adolescents (National Survey of Adolescents). Two alternative, empirically supported four-factor models of PTSD were compared with the DSM-IV three-factor PTSD diagnostic model.

Results

Results indicated that the diagnostic alterations resulted in substantially improved structural validity, downward adjustments of PTSD's lifetime prevalence (roughly 1 percentage point decreases in adults, 1–2.5 percentage point decreases in adolescents), and equivalent psychiatric co-morbidity and sociodemographic associations.

Conclusions

Implications for modifying PTSD diagnostic criteria in future editions of DSM are discussed.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Andrews, G, Peters, L (1998). The psychometric properties of the Composite International Diagnostic Interview. Social Psychiatry and Psychiatric Epidemiology 33, 8088.CrossRefGoogle ScholarPubMed
APA (2001). Diagnostic and Statistical Manual of Mental Disorders, 4th edn, text revision. American Psychological Association: Washington, DC.Google Scholar
Asmundson, GJG, Stapleton, JA, Taylor, S (2004). Are avoidance and numbing distinct PTSD symptom clusters? Journal of Traumatic Stress 17, 467475.CrossRefGoogle ScholarPubMed
Broman-Fulks, JJ, Ruggiero, KJ, Green, BA, Kilpatrick, DG, Danielson, CK, Resnick, HS, Saunders, BE (2006). Taxometric investigation of PTSD: Data from two nationally representative samples. Behavior Therapy 37, 364380.CrossRefGoogle ScholarPubMed
Buckley, TC (2007). PTSD and Vietnam veterans. Science 315, 185.Google ScholarPubMed
Cox, BJ, Mota, N, Clara, I, Asmundson, GJG (2008). The symptom structure of posttraumatic stress disorder in the National Comorbidity Replication Survey. Journal of Anxiety Disorders 22, 15231528.CrossRefGoogle ScholarPubMed
DuHamel, KN, Ostrof, J, Ashman, T, Winkel, G, Mundy, EA, Keane, TM, Morasco, BJ, Vickberg, SMJ, Hurley, K, Burkhalter, J, Chhabra, R, Scigliano, E, Papadopoulos, E, Moskowitz, C, Redd, W (2004). Construct validity of the Posttraumatic Stress Disorder Checklist in cancer survivors: analyses based on two samples. Psychological Assessment 16, 255266.CrossRefGoogle ScholarPubMed
Elhai, JD, Gray, MJ, Docherty, AR, Kashdan, TB, Kose, S (2007). Structural validity of the Posttraumatic Stress Disorder Checklist among college students with a trauma history. Journal of Interpersonal Violence 22, 14711478.CrossRefGoogle ScholarPubMed
Elhai, JD, Grubaugh, AL, Kashdan, TB, Frueh, BC (2008). Empirical examination of a proposed refinement to DSM-IV posttraumatic stress disorder symptom criteria using the National Comorbidity Survey Replication data. Journal of Clinical Psychiatry 69, 597602.CrossRefGoogle ScholarPubMed
Elkit, A, Shevlin, M (2007). The structure of PTSD symptoms: A test of alternative models using confirmatory factor analysis. British Journal of Clinical Psychology 46, 299313.CrossRefGoogle Scholar
Flora, DB, Curran, PJ (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods 9, 466491.CrossRefGoogle ScholarPubMed
Frueh, BC, Elhai, JD, Kaloupek, DG (2004). Unresolved issues in the assessment of trauma exposure and posttraumatic reactions. In Posttraumatic Stress Disorder: Issues and Controversies (ed. Rosen, G. M.), pp. 6384. Wiley: New York.CrossRefGoogle 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, 167180.CrossRefGoogle ScholarPubMed
Hays, W (1994). Statistics. Wadsworth: Belmont, CA.Google Scholar
Hu, L, Bentler, PM (1998). Fit indices in covariance structural modeling: Sensitivity to underparameterized model misspecification. Psychological Methods 3, 424453.CrossRefGoogle Scholar
Hu, L, Bentler, PM (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling 6, 155.CrossRefGoogle Scholar
Kessler, RC (2006). National Comorbidity Survey: Replication (NCS-R), 2001–2003 (computer file). Conducted by Harvard Medical School, Department of Health Care Policy/University of Michigan, Survey Research Center. ICPSR04438-v1. Inter-University Consortium for Political and Social Research: Ann Arbor, MI.Google Scholar
Kessler, RC, Berglund, P, Chiu, WT, Demler, O, Heeringa, S, Hiripi, E, Jin, R, Pennell, BE, Walters, EE, Zaslavsky, A, Zheng, H (2004). The US National Comorbidity Survey Replication (NCS-R): design and field procedures. International Journal of Methods in Psychiatric Research 13, 6992.CrossRefGoogle ScholarPubMed
Kessler, RC, Berglund, P, Demler, O, Jin, R, Merikangas, KR, Walters, EE (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 593602.CrossRefGoogle ScholarPubMed
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, 93121.CrossRefGoogle ScholarPubMed
Kilpatrick, DG, Acierno, R, Saunders, B, Resnick, HS, Best, CL, Schnurr, PP (2000). Risk factors for adolescent substance abuse and dependence: data from a national sample. Journal of Consulting and Clinical Psychology 68, 1930.CrossRefGoogle ScholarPubMed
Kilpatrick, DG, Resnick, HS, Freedy, JR, Pelcovitz, D, Resick, P, Roth, S, van der Kolk, B (1998). Posttraumatic stress disorder field trial: evaluation of the PTSD construct – criteria A through E. In DSM-IV Sourcebook (ed. Widiger, T. A., Frances, A. J., Pincus, H. A., Ross, R., First, M. B., Davis, W. and Kline, M.), pp. 804844. American Psychiatric Press: Washington, DC.Google Scholar
Kilpatrick, DG, Saunders, BE (1995). National Survey of Adolescents in the United States (computer file). ICPSR version. Inter-university Consortium for Political and Social Research: Ann Arbor, MI.Google Scholar
Kilpatrick, DG, Saunders, BE (1997). Prevalence and consequences of child victimization. Results from the National Survey of Adolescents: Final report. National Crime Victims Research and Treatment Center: Charleston, SC.Google Scholar
King, DW, Leskin, GA, King, LA, Weathers, FW (1998). Confirmatory factor analysis of the Clinician-Administered PTSD Scale: evidence for the dimensionality of posttraumatic stress disorder. Psychological Assessment 10, 9096.CrossRefGoogle Scholar
Kline, RB (2004). Principles and Practice of Structural Equation Modeling. Guilford Press: New York.Google Scholar
Krause, ED, Kaltman, S, Goodman, LA, Dutton, MA (2007). Longitudinal factor structure of posttraumatic stress symptoms related to intimate partner violence. Psychological Assessment 19, 165175.CrossRefGoogle ScholarPubMed
Landis, JR, Koch, GG (1977). The measurement of observer agreement for categorical data. Biometrics 33, 159174.CrossRefGoogle ScholarPubMed
Long, ME, Elhai, JD (in press). Posttraumatic stress disorder's traumatic stressor criterion: History, controversy, clinical and legal implications. Psychological Injury and Law.Google Scholar
McNally, RJ (2003). Progress and controversy in the study of posttraumatic stress disorder. Annual Review of Psychology 54, 229252.CrossRefGoogle Scholar
McWilliams, LA, Cox, BJ, Asmundson, GJG (2005). Symptom structure of posttraumatic stress disorder in a nationally representative sample. Journal of Anxiety Disorders 19, 626641.CrossRefGoogle Scholar
Muthén, BO (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika 49, 115132.CrossRefGoogle Scholar
Muthén, BO, Muthén, L (2006). Chi-square Difference Testing Using the Satorra-Bentler Scaled Chi-square. Muthén & Muthén: Los Angeles.Google Scholar
Muthén, LK, Muthén, BO (1998–2007). Mplus User's Guide. Muthén & Muthén: Los Angeles.Google Scholar
Naifeh, JA, Elhai, JD, Kashdan, TB, Grubaugh, AL (2008). The PTSD Symptom Scale's latent structure: an examination of trauma-exposed medical patients. Journal of Anxiety Disorders 22, 13551368.CrossRefGoogle ScholarPubMed
Palmieri, PA, Marshall, GN, Schell, TL (2007 a). Confirmatory factor analysis of posttraumatic stress symptoms in Cambodian refugees. Journal of Traumatic Stress 20, 207216.CrossRefGoogle ScholarPubMed
Palmieri, PA, Weathers, FW, Difede, J, King, DW (2007 b). Confirmatory factor analysis of the PTSD Checklist and the Clinician-Administered PTSD Scale in disaster workers exposed to the World Trade Center Ground Zero. Journal of Abnormal Psychology 116, 329341.CrossRefGoogle Scholar
Raftery, AE (1995). Bayesian model selection in social research. Sociological Methodology 25, 111163.CrossRefGoogle Scholar
Rosen, GM, Lilienfield, SO (2008). Posttraumatic stress disorder: an empirical evaluation of core assumptions. Clinical Psychology Review 28, 837868.CrossRefGoogle ScholarPubMed
Rosen, GM, Spitzer, RL, McHugh, PR (2008). Problems with the post-traumatic stress disorder diagnosis and its future in DSM V. British Journal of Psychiatry 192, 34.CrossRefGoogle ScholarPubMed
Saul, AL, Grant, KE, Carter, JS (2008). Post-traumatic reactions in adolescents: how well do the DSM-IV PTSD criteria fit the real life experience of trauma exposed youth? Journal of Abnormal Child Psychology 17, 277289.Google Scholar
Schafer, JL, Graham, JW (2002). Missing data: our view of the state of the art. Psychological Methods 7, 147177.CrossRefGoogle ScholarPubMed
Schinka, JA, Brown, LM, Borenstein, AR, Mortimer, JA (2007). Confirmatory factor analysis of the PTSD Checklist in the elderly. Journal of Traumatic Stress 20, 281289.CrossRefGoogle ScholarPubMed
Simms, LJ, Watson, D, Doebbeling, BN (2002). Confirmatory factor analyses of posttraumatic stress symptoms in deployed and nondeployed veterans of the Gulf War. Journal of Abnormal Psychology 111, 637647.CrossRefGoogle ScholarPubMed
Slade, T, Watson, D (2006). The structure of common DSM-IV and ICD-10 mental disorders in the Australian general population. Psychological Medicine 36, 15931600.CrossRefGoogle ScholarPubMed
Spitzer, RL, First, MB, Wakefield, JC (2007). Saving PTSD from itself in DSM-V. Journal of Anxiety Disorders 21, 233241.CrossRefGoogle ScholarPubMed
Watson, D (2005). Rethinking the mood and anxiety disorders: a quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology 114, 522536.CrossRefGoogle ScholarPubMed
Wirth, RJ, Edwards, MC (2007). Item factor analysis: current approaches and future directions. Psychological Methods 12, 5879.CrossRefGoogle ScholarPubMed