The interplay between psychopathological symptoms: transdiagnostic cross-lagged panel network model: transdiagnostic cross-lagged panel network model

Un Young Chavez-Baldini; K. Verweij; D. de Beurs; C. Bockting; A. Lok; A.L. Sutterland; G. van Rooijen; G. van Wingen; D. Denys; N. Vulink; D. Nieman

doi:https://doi.org/10.1192/bjo.2022.516

The interplay between psychopathological symptoms: transdiagnostic cross-lagged panel network model: transdiagnostic cross-lagged panel network model

Un Young Chavez-Baldini, K. Verweij, D. de Beurs, C. Bockting, A. Lok, A.L. Sutterland, G. van Rooijen, G. van Wingen, D. Denys, N. Vulink, D. Nieman

Research output: Contribution to journal › Article › Academic › peer-review

8 Citations (Scopus)

Abstract

Background

Recent paradigm shifts suggest that psychopathology manifests through dynamic interactions between individual symptoms.

Aims

To investigate the longitudinal relationships between symptoms in a transdiagnostic sample of patients with psychiatric disorders.

Method

A two-wave, cross-lagged panel network model of 15 nodes representing symptoms of depression, (social) anxiety and attenuated psychotic symptoms was estimated, using baseline and 1-year follow-up data of 222 individuals with psychiatric disorders. Centrality indices were calculated to determine important predictors and outcomes.

Results

Our results demonstrated that the strongest relationships in the network were between (a) more suicidal ideation predicting more negative self-view, and (b) autoregressive relationships of social anxiety symptoms positively reinforcing themselves. Negative self-view was the most predictable node in the network as it had the highest 'in-expected influence' centrality, and may be an important transdiagnostic outcome symptom.

Conclusions

The results give insight into longitudinal interactions between symptoms, which interact in ways that do not adhere to broader diagnostic categories. Our results suggest that self-view can also be a transdiagnostic outcome of psychopathology rather than just a predictor, as is normally posited, and may especially have an important relationship with suicidal ideation. Overall, our study demonstrates the dynamic complexity of psychopathology, and further supports the importance of investigating symptom interactions of different psychopathological dimensions over time and across disorders.

Original language	English
Article number	e116
Number of pages	8
Journal	BJPsych Open
Volume	8
Issue number	4
Early online date	27 Jun 2022
DOIs	https://doi.org/10.1192/bjo.2022.516
Publication status	Published - 27 Jul 2022

Keywords

Transdiagnostic
longitudinal
network analysis
psychopathology
symptom network

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Cite this

Chavez-Baldini, U. Y., Verweij, K., de Beurs, D., Bockting, C., Lok, A., Sutterland, A. L., van Rooijen, G., van Wingen, G., Denys, D., Vulink, N., & Nieman, D. (2022). The interplay between psychopathological symptoms: transdiagnostic cross-lagged panel network model: transdiagnostic cross-lagged panel network model. BJPsych Open, 8(4), Article e116. https://doi.org/10.1192/bjo.2022.516

@article{bae38f61e6d542fe9ea4c16b402fc588,

title = "The interplay between psychopathological symptoms: transdiagnostic cross-lagged panel network model: transdiagnostic cross-lagged panel network model",

abstract = "Background Recent paradigm shifts suggest that psychopathology manifests through dynamic interactions between individual symptoms. Aims To investigate the longitudinal relationships between symptoms in a transdiagnostic sample of patients with psychiatric disorders. Method A two-wave, cross-lagged panel network model of 15 nodes representing symptoms of depression, (social) anxiety and attenuated psychotic symptoms was estimated, using baseline and 1-year follow-up data of 222 individuals with psychiatric disorders. Centrality indices were calculated to determine important predictors and outcomes. Results Our results demonstrated that the strongest relationships in the network were between (a) more suicidal ideation predicting more negative self-view, and (b) autoregressive relationships of social anxiety symptoms positively reinforcing themselves. Negative self-view was the most predictable node in the network as it had the highest 'in-expected influence' centrality, and may be an important transdiagnostic outcome symptom. Conclusions The results give insight into longitudinal interactions between symptoms, which interact in ways that do not adhere to broader diagnostic categories. Our results suggest that self-view can also be a transdiagnostic outcome of psychopathology rather than just a predictor, as is normally posited, and may especially have an important relationship with suicidal ideation. Overall, our study demonstrates the dynamic complexity of psychopathology, and further supports the importance of investigating symptom interactions of different psychopathological dimensions over time and across disorders.",

keywords = "Transdiagnostic, longitudinal, network analysis, psychopathology, symptom network",

author = "Chavez-Baldini, {Un Young} and K. Verweij and {de Beurs}, D. and C. Bockting and A. Lok and A.L. Sutterland and {van Rooijen}, G. and {van Wingen}, G. and D. Denys and N. Vulink and D. Nieman",

note = "Funding Information: U.C.-B. was responsible for study conceptualisation, formal analysis, data curation, project administration and wrote the original draft of the manuscript. K.V. reviewed and edited the manuscript and was responsible for project administration. A.L., A.L.S., C.B., D.d.B., G.v.R. and G.v.W. reviewed and edited the manuscript. The Across Consortium was responsible for study methodology, investigation and resources. D.D. supervised the study, was responsible for funding acquisition and reviewed and edited the manuscript. D.N. and N.V. supervised the study, wrote the original draft of the manuscript and was responsible for project administration. All authors contributed to the final manuscript. Publisher Copyright: Copyright {\textcopyright} The Author(s), 2022. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists.",

year = "2022",

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doi = "https://doi.org/10.1192/bjo.2022.516",

language = "English",

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journal = "BJPsych Open",

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Chavez-Baldini, UY, Verweij, K, de Beurs, D, Bockting, C , Lok, A , Sutterland, AL, van Rooijen, G, van Wingen, G, Denys, D , Vulink, N & Nieman, D 2022, 'The interplay between psychopathological symptoms: transdiagnostic cross-lagged panel network model: transdiagnostic cross-lagged panel network model', BJPsych Open, vol. 8, no. 4, e116. https://doi.org/10.1192/bjo.2022.516

TY - JOUR

T1 - The interplay between psychopathological symptoms: transdiagnostic cross-lagged panel network model

T2 - transdiagnostic cross-lagged panel network model

AU - Chavez-Baldini, Un Young

AU - Verweij, K.

AU - de Beurs, D.

AU - Bockting, C.

AU - Lok, A.

AU - Sutterland, A.L.

AU - van Rooijen, G.

AU - van Wingen, G.

AU - Denys, D.

AU - Vulink, N.

AU - Nieman, D.

N1 - Funding Information: U.C.-B. was responsible for study conceptualisation, formal analysis, data curation, project administration and wrote the original draft of the manuscript. K.V. reviewed and edited the manuscript and was responsible for project administration. A.L., A.L.S., C.B., D.d.B., G.v.R. and G.v.W. reviewed and edited the manuscript. The Across Consortium was responsible for study methodology, investigation and resources. D.D. supervised the study, was responsible for funding acquisition and reviewed and edited the manuscript. D.N. and N.V. supervised the study, wrote the original draft of the manuscript and was responsible for project administration. All authors contributed to the final manuscript. Publisher Copyright: Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists.

PY - 2022/7/27

Y1 - 2022/7/27

N2 - Background Recent paradigm shifts suggest that psychopathology manifests through dynamic interactions between individual symptoms. Aims To investigate the longitudinal relationships between symptoms in a transdiagnostic sample of patients with psychiatric disorders. Method A two-wave, cross-lagged panel network model of 15 nodes representing symptoms of depression, (social) anxiety and attenuated psychotic symptoms was estimated, using baseline and 1-year follow-up data of 222 individuals with psychiatric disorders. Centrality indices were calculated to determine important predictors and outcomes. Results Our results demonstrated that the strongest relationships in the network were between (a) more suicidal ideation predicting more negative self-view, and (b) autoregressive relationships of social anxiety symptoms positively reinforcing themselves. Negative self-view was the most predictable node in the network as it had the highest 'in-expected influence' centrality, and may be an important transdiagnostic outcome symptom. Conclusions The results give insight into longitudinal interactions between symptoms, which interact in ways that do not adhere to broader diagnostic categories. Our results suggest that self-view can also be a transdiagnostic outcome of psychopathology rather than just a predictor, as is normally posited, and may especially have an important relationship with suicidal ideation. Overall, our study demonstrates the dynamic complexity of psychopathology, and further supports the importance of investigating symptom interactions of different psychopathological dimensions over time and across disorders.

AB - Background Recent paradigm shifts suggest that psychopathology manifests through dynamic interactions between individual symptoms. Aims To investigate the longitudinal relationships between symptoms in a transdiagnostic sample of patients with psychiatric disorders. Method A two-wave, cross-lagged panel network model of 15 nodes representing symptoms of depression, (social) anxiety and attenuated psychotic symptoms was estimated, using baseline and 1-year follow-up data of 222 individuals with psychiatric disorders. Centrality indices were calculated to determine important predictors and outcomes. Results Our results demonstrated that the strongest relationships in the network were between (a) more suicidal ideation predicting more negative self-view, and (b) autoregressive relationships of social anxiety symptoms positively reinforcing themselves. Negative self-view was the most predictable node in the network as it had the highest 'in-expected influence' centrality, and may be an important transdiagnostic outcome symptom. Conclusions The results give insight into longitudinal interactions between symptoms, which interact in ways that do not adhere to broader diagnostic categories. Our results suggest that self-view can also be a transdiagnostic outcome of psychopathology rather than just a predictor, as is normally posited, and may especially have an important relationship with suicidal ideation. Overall, our study demonstrates the dynamic complexity of psychopathology, and further supports the importance of investigating symptom interactions of different psychopathological dimensions over time and across disorders.

KW - Transdiagnostic

KW - longitudinal

KW - network analysis

KW - psychopathology

KW - symptom network

UR - http://www.scopus.com/inward/record.url?scp=85136519700&partnerID=8YFLogxK

U2 - https://doi.org/10.1192/bjo.2022.516

DO - https://doi.org/10.1192/bjo.2022.516

M3 - Article

C2 - 35758630

SN - 2056-4724

VL - 8

JO - BJPsych Open

JF - BJPsych Open

IS - 4

M1 - e116

ER -

The interplay between psychopathological symptoms: transdiagnostic cross-lagged panel network model: transdiagnostic cross-lagged panel network model

Abstract

Keywords

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