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      Borderline personality disorder symptom networks across adolescent and adult clinical samples: examining symptom centrality and replicability

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          Abstract

          Background

          Numerous theories posit different core features to borderline personality disorder (BPD). Recent advances in network analysis provide a method of examining the relative centrality of BPD symptoms, as well as examine the replicability of findings across samples. Additionally, despite the increase in research supporting the validity of BPD in adolescents, clinicians are reluctant to diagnose BPD in adolescents. Establishing the replicability of the syndrome across adolescents and adults informs clinical practice and research. This study examined the stability of BPD symptom networks and centrality of symptoms across samples varying in age and clinical characteristics.

          Methods

          Cross-sectional analyses of BPD symptoms from semi-structured diagnostic interviews from the Collaborative Longitudinal Study of Personality Disorders (CLPS), the Methods to Improve Diagnostic Assessment and Service (MIDAS) study, and an adolescent clinical sample. Network attributes, including edge (partial association) strength and node (symptom) expected influence, were compared.

          Results

          The three networks were largely similar and strongly correlated. Affective instability and identity disturbance emerged as relatively central symptoms across the three samples, and relationship difficulties across adult networks. Differences in network attributes were more evident between networks varying both in age and in BPD symptom severity level.

          Conclusions

          Findings highlight the relative importance of affective, identity, and relationship symptoms, consistent with several leading theories of BPD. The network structure of BPD symptoms appears generally replicable across multiple large samples including adolescents and adults, providing further support for the validity of the diagnosis across these developmental phases.

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          Most cited references50

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Regression Shrinkage and Selection Via the Lasso

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              Estimating psychological networks and their accuracy: A tutorial paper

              The usage of psychological networks that conceptualize behavior as a complex interplay of psychological and other components has gained increasing popularity in various research fields. While prior publications have tackled the topics of estimating and interpreting such networks, little work has been conducted to check how accurate (i.e., prone to sampling variation) networks are estimated, and how stable (i.e., interpretation remains similar with less observations) inferences from the network structure (such as centrality indices) are. In this tutorial paper, we aim to introduce the reader to this field and tackle the problem of accuracy under sampling variation. We first introduce the current state-of-the-art of network estimation. Second, we provide a rationale why researchers should investigate the accuracy of psychological networks. Third, we describe how bootstrap routines can be used to (A) assess the accuracy of estimated network connections, (B) investigate the stability of centrality indices, and (C) test whether network connections and centrality estimates for different variables differ from each other. We introduce two novel statistical methods: for (B) the correlation stability coefficient, and for (C) the bootstrapped difference test for edge-weights and centrality indices. We conducted and present simulation studies to assess the performance of both methods. Finally, we developed the free R-package bootnet that allows for estimating psychological networks in a generalized framework in addition to the proposed bootstrap methods. We showcase bootnet in a tutorial, accompanied by R syntax, in which we analyze a dataset of 359 women with posttraumatic stress disorder available online. Electronic supplementary material The online version of this article (doi:10.3758/s13428-017-0862-1) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Psychol Med
                Psychol Med
                PSM
                Psychological Medicine
                Cambridge University Press (Cambridge, UK )
                0033-2917
                1469-8978
                May 2023
                31 January 2022
                : 53
                : 7
                : 2946-2953
                Affiliations
                [1 ]Alpert Medical School of Brown University , Providence, USA
                [2 ]VA Boston Healthcare System , Boston, USA
                [3 ]Butler Hospital, Alpert Medical School of Brown University , Providence, USA
                [4 ]Rhode Island Hospital, Alpert Medical School of Brown University , Providence, USA
                [5 ]University of Houston,  Houston, USA
                [6 ]Yale School of Medicine , New Haven, USA
                [7 ]Wesleyan University,  Middletown, USA
                [8 ]McLean Hospital, Harvard Medical School,  Boston, USA
                [9 ]Texas A&M University,  College Station, USA
                [10 ]University of Arizona College of Medicine,  Tucson, USA
                [11 ]Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center, Harvard Medical School,  Boston, USA
                Author notes
                Author for correspondence: Jessica R. Peters, E-mail: jessica_peters@ 123456brown.edu
                [*]

                Shared first authorship.

                Author information
                https://orcid.org/0000-0003-3150-3973
                https://orcid.org/0000-0002-8834-067X
                https://orcid.org/0000-0001-8284-9910
                https://orcid.org/0000-0001-8349-4701
                https://orcid.org/0000-0002-0579-6699
                https://orcid.org/0000-0001-7711-5568
                https://orcid.org/0000-0002-7194-1380
                Article
                S0033291721004931
                10.1017/S0033291721004931
                9339041
                35094733
                ce09b737-bc6d-4ac7-8819-32c141e0e0e1
                © The Author(s) 2022

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 21 July 2021
                : 22 October 2021
                : 09 November 2021
                Page count
                Figures: 2, Tables: 2, References: 50, Pages: 8
                Categories
                Original Article

                Clinical Psychology & Psychiatry
                adolescents,affective instability,borderline personality disorder,dsm-5 diagnosis,identity disturbance,network analysis,psychopathology

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