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The importance of modeling comorbidity using an intra-individual, time-series approach

Published online by Cambridge University Press:  29 June 2010

Dana Tzur-Bitan ,
Nachshon Meiran  and
Golan Shahar
Dana Tzur-Bitan
Affiliation:
Department of Psychology, Ben Gurion University of the Negev, Beer-Sheva 84105 Israel. tzurdan@bgu.ac.il nmeiran@bgu.ac.il http://www.bgu.ac.il/~nmeiran
Nachshon Meiran
Affiliation:
Department of Psychology, Ben Gurion University of the Negev, Beer-Sheva 84105 Israel. tzurdan@bgu.ac.il nmeiran@bgu.ac.il http://www.bgu.ac.il/~nmeiran
Golan Shahar
Affiliation:
Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510. shaharg@bgu.ac.il http://w3.bgu.ac.il/riskreslab
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Abstract

We suggest that the network approach to comorbidity (Cramer et al.) is best examined by using longitudinal, multi-measurement, intra-individual data. Employment of time-series analysis to the examination of the generalized anxiety disorder and major depressive disorder comorbidity enables a detailed appreciation of fluctuations and causal trajectories in terms of both symptoms and cognitive vulnerability.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 33 , Issue 2-3 , June 2010 , pp. 172 - 173
Copyright
Copyright © Cambridge University Press 2010

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References

Barkow, K., Heun, R., Wittchen, H. U., Ustun, T. B., Gansicke, M. & Wolfgang, M. (2004) Mixed anxiety depression in a 1 year follow-up study: Shift to other diagnoses or remission? Journal of Affective Disorders 79:235–39.CrossRefGoogle ScholarPubMed
Box, G. E. P. & Jenkins, G. M. (1976) Time series analysis: Forecasting and control, revised ed. Holden Day.Google Scholar
Breslau, N., Schultz, L. & Peterson, E. (1995) Sex differences in depression: A role for preexisting anxiety. Psychiatry Research 58:1–12.CrossRefGoogle ScholarPubMed
Hettema, J. M., Prescott, C. A. & Kendler, K. S. (2003) The effects of anxiety, substance use, and conduct disorders on risk of major depressive disorder. Psychological Medicine 33:1423–32.CrossRefGoogle ScholarPubMed
Kessler, R. C., Nelson, C. B., McGonagle, K. A., Liu, J., Swartz, M. & Blazer, D. G. (1996) Comorbidity of DSM-III-R major depressive disorder in the general population: Results from the US National Comorbidity Survey. British Journal of Psychiatry: Supplement 30:17–30.CrossRefGoogle Scholar
Lewinsohn, P. M., Zinbarg, R., Seeley, J. R., Lewinsohn, M. & Sack, W. H. (1997) Lifetime comorbidity among anxiety disorders and between anxiety disorders and other mental disorders in adolescents. Journal of Anxiety Disorders 11:377–94.CrossRefGoogle ScholarPubMed
Moffitt, T. E., Harrington, H., Caspi, A., Kim-Cohen, J., Goldberg, D., Gregory, A. M. & Poulton, R. (2007) Depression and generalized anxiety disorder: Cumulative and sequential comorbidity in a birth cohort followed prospectively to age 32 years. Archives of General Psychiatry 64:651–60.CrossRefGoogle Scholar
Riskind, J. H., Williams, N. L., Gessner, T., Chrosniak, L. D. & Cortina, J. (2000) The looming maladaptive style: Anxiety, danger, and schematic processing. Journal of Personality and Social Psychology 79:837–52.CrossRefGoogle ScholarPubMed
Watson, D. & Clark, L. A. (1994) The PANAS-X: Manual for the positive and negative affect schedule-expanded form. Unpublished manuscript, University of Iowa, Iowa City, IA.CrossRefGoogle Scholar