Bernd Rainer Förstner, Sarah Jane Böttger, Alexander Moldavski, Malek Bajbouj, Andrea Pfennig, Andre Manook, Marcus Ising, Andre Pittig, Ingmar Heinig, Andreas Heinz, Klaus Mathiak, Thomas G. Schulze, Frank Schneider, Inge Kamp-Becker, Andreas Meyer-Lindenberg, Frank Padberg, Tobias Banaschewski, Michael Bauer, Rainer Rupprecht, Hans-Ulrich Wittchen, Michael Armin Rapp, Mira Tschorn
- Background Anxiety and depressive disorders share common features of mood dysfunctions. This has stimulated interest in transdiagnostic dimensional research as proposed by the Research Domain Criteria (RDoC) approach by the National Institute of Mental Health (NIMH) aiming to improve the understanding of underlying disease mechanisms. The purpose of this study was to investigate the processing of RDoC domains in relation to disease severity in order to identify latent disorder-specific as well as transdiagnostic indicators of disease severity in patients with anxiety and depressive disorders.
Methods Within the German research network for mental disorders, 895 participants (n = 476 female, n = 602 anxiety disorder, n = 257 depressive disorder) were recruited for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) and included in this cross-sectional study. We performed incremental regression models to investigate the association of four RDoC domains on disease severity in patients with affectiveBackground Anxiety and depressive disorders share common features of mood dysfunctions. This has stimulated interest in transdiagnostic dimensional research as proposed by the Research Domain Criteria (RDoC) approach by the National Institute of Mental Health (NIMH) aiming to improve the understanding of underlying disease mechanisms. The purpose of this study was to investigate the processing of RDoC domains in relation to disease severity in order to identify latent disorder-specific as well as transdiagnostic indicators of disease severity in patients with anxiety and depressive disorders.
Methods Within the German research network for mental disorders, 895 participants (n = 476 female, n = 602 anxiety disorder, n = 257 depressive disorder) were recruited for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) and included in this cross-sectional study. We performed incremental regression models to investigate the association of four RDoC domains on disease severity in patients with affective disorders: Positive (PVS) and Negative Valance System (NVS), Cognitive Systems (CS) and Social Processes (SP).
Results The results confirmed a transdiagnostic relationship for all four domains, as we found significant main effects on disease severity within domain-specific models (PVS: & beta; = -0.35; NVS: & beta; = 0.39; CS: & beta; = -0.12; SP: & beta; = -0.32). We also found three significant interaction effects with main diagnosis showing a disease-specific association.
Limitations The cross-sectional study design prevents causal conclusions. Further limitations include possible outliers and heteroskedasticity in all regression models which we appropriately controlled for.
Conclusion Our key results show that symptom burden in anxiety and depressive disorders is associated with latent RDoC indicators in transdiagnostic and disease-specific ways.…
MetadatenAuthor details: | Bernd Rainer FörstnerORCiDGND, Sarah Jane BöttgerORCiD, Alexander MoldavskiORCiDGND, Malek BajboujORCiDGND, Andrea PfennigORCiD, Andre Manook, Marcus IsingORCiD, Andre PittigORCiD, Ingmar Heinig, Andreas HeinzORCiDGND, Klaus Mathiak, Thomas G. Schulze, Frank Schneider, Inge Kamp-BeckerORCiD, Andreas Meyer-LindenbergORCiD, Frank PadbergORCiD, Tobias BanaschewskiORCiD, Michael Bauer, Rainer Rupprecht, Hans-Ulrich WittchenORCiDGND, Michael Armin RappORCiDGND, Mira TschornORCiDGND |
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DOI: | https://doi.org/10.3389/fpsyt.2023.1161097 |
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ISSN: | 1664-0640 |
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Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/37398596 |
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Title of parent work (English): | Frontiers in psychiatry |
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Publisher: | Frontiers Research Foundation |
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Place of publishing: | Lausanne |
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Publication type: | Article |
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Language: | English |
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Date of first publication: | 2023/06/16 |
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Publication year: | 2023 |
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Release date: | 2024/06/24 |
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Tag: | RDoC; Research Domain Criteria; anxiety disoders; depression; disease severity; transdiagnostic |
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Volume: | 14 |
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Article number: | 1161097 |
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Number of pages: | 10 |
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Funding institution: | Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany; (PD-CAN) research consortium [FKZ 01EE1406I]; German Federal Ministry of; Education and Research (BMBF) [01EE1406, 01EE1405, 01EE1409, 01EE1407,; 01EE1403, 01EE1408, 01EE1404, 01EE1401, 01EE1402]; Deutsche; Forschungsgemeinschaft (DFG, German Research Foundation) [491466077] |
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Organizational units: | Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Sport- und Gesundheitswissenschaften |
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DDC classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Peer review: | Referiert |
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Grantor: | Publikationsfonds der Universität Potsdam |
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Publishing method: | Open Access / Gold Open-Access |
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License (German): | CC-BY - Namensnennung 4.0 International |
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