Literature DB >> 20584390

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

Dana Tzur-Bitan1, Nachshon Meiran, Golan Shahar.   

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.

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Year:  2010        PMID: 20584390     DOI: 10.1017/S0140525X10000816

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  3 in total

1.  The network approach to psychopathology: a review of the literature 2008-2018 and an agenda for future research.

Authors:  Donald J Robinaugh; Ria H A Hoekstra; Emma R Toner; Denny Borsboom
Journal:  Psychol Med       Date:  2019-12-26       Impact factor: 7.723

2.  Latent variable and network models of comorbidity: toward an empirically derived nosology.

Authors:  Nicholas R Eaton
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-01-20       Impact factor: 4.328

3.  The Therapy Process Questionnaire - Factor analysis and psychometric properties of a multidimensional self-rating scale for high-frequency monitoring of psychotherapeutic processes.

Authors:  Günter Schiepek; Barbara Stöger-Schmidinger; Helmut Kronberger; Wolfgang Aichhorn; Leonhard Kratzer; Peter Heinz; Kathrin Viol; Anna Lichtwarck-Aschoff; Helmut Schöller
Journal:  Clin Psychol Psychother       Date:  2019-07-10
  3 in total

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