Hostname: page-component-7c8c6479df-24hb2 Total loading time: 0 Render date: 2024-03-28T19:31:04.486Z Has data issue: false hasContentIssue false

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

Published online by Cambridge University Press:  29 June 2010

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

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.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2010

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

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 58:112.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 30:1730.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