Network analysis of body-related complaints in patients with neurotic or personality disorders referred to psychotherapy.
Anxiety
Bootstrapping
Centrality
Network analysis
Psychotherapy patients
Somatic symptoms
TMFG networks
Journal
Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560
Informations de publication
Date de publication:
Mar 2023
Mar 2023
Historique:
received:
05
04
2022
revised:
09
02
2023
accepted:
21
02
2023
entrez:
20
3
2023
pubmed:
21
3
2023
medline:
21
3
2023
Statut:
epublish
Résumé
Psychopathology theory and clinical practice require the most complex knowledge about patients' complaints. In patients seeking for psychotherapy, body-related symptoms often complicate treatment. This study aimed at examining connections between body-related symptoms, and identification of symptoms which may be responsible for emergency and sustaining of anxiety, somatoform and personality disorders with the use of network analysis. In our retrospective research we used data from a sample of 4616 patients of the Department of Psychotherapy, University Hospital in Cracow, diagnosed with anxiety, somatoform or personality disorders. We constructed the Triangulated Maximally Filtered Graph (TMFG) networks of 44 somatoform symptoms endorsed in the symptom checklist "O" (SCL-O) and identified the most central symptoms within the network for all patients and in subgroups of women vs. men, older vs. younger, and diagnosed in 1980-2000 vs. 2000-2015. We used bootstrap to determine the accuracy and stability of five networks' parameters: strength, expected influence, eigenvector, bridge strength and hybrid centrality. The most central symptoms within the overall network, and in six subnetworks were dyspnea and migratory pains. We identified some gender-related differences, but no differences were observed for the age and time of diagnosis. Self-reported dyspnea and migratory pains are potential important targets for treatment procedures.
Sections du résumé
Background
UNASSIGNED
Psychopathology theory and clinical practice require the most complex knowledge about patients' complaints. In patients seeking for psychotherapy, body-related symptoms often complicate treatment.
Aim
UNASSIGNED
This study aimed at examining connections between body-related symptoms, and identification of symptoms which may be responsible for emergency and sustaining of anxiety, somatoform and personality disorders with the use of network analysis.
Methods
UNASSIGNED
In our retrospective research we used data from a sample of 4616 patients of the Department of Psychotherapy, University Hospital in Cracow, diagnosed with anxiety, somatoform or personality disorders. We constructed the Triangulated Maximally Filtered Graph (TMFG) networks of 44 somatoform symptoms endorsed in the symptom checklist "O" (SCL-O) and identified the most central symptoms within the network for all patients and in subgroups of women vs. men, older vs. younger, and diagnosed in 1980-2000 vs. 2000-2015. We used bootstrap to determine the accuracy and stability of five networks' parameters: strength, expected influence, eigenvector, bridge strength and hybrid centrality.
Results
UNASSIGNED
The most central symptoms within the overall network, and in six subnetworks were dyspnea and migratory pains. We identified some gender-related differences, but no differences were observed for the age and time of diagnosis.
Conclusions
UNASSIGNED
Self-reported dyspnea and migratory pains are potential important targets for treatment procedures.
Identifiants
pubmed: 36938406
doi: 10.1016/j.heliyon.2023.e14078
pii: S2405-8440(23)01285-9
pmc: PMC10018473
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e14078Informations de copyright
© 2023 The Authors.
Déclaration de conflit d'intérêts
The authors declare no competing interests.
Références
Sci Rep. 2013;3:1665
pubmed: 23588852
Complement Ther Med. 2000 Jun;8(2):106-10
pubmed: 10859603
J Affect Disord. 2019 Oct 1;257:45-54
pubmed: 31299404
Psychosom Med. 2022 Jan 1;84(1):74-85
pubmed: 34428004
J Psychosom Res. 2017 May;96:27-31
pubmed: 28545789
BMJ Case Rep. 2019 Nov 25;12(11):
pubmed: 31772129
Behav Res Methods. 2018 Dec;50(6):2531-2550
pubmed: 29520631
Psychol Med. 2016 Oct;46(14):2989-2998
pubmed: 27523095
BMC Psychiatry. 2019 Jul 3;19(1):207
pubmed: 31269925
Psychiatr Pol. 1994 Nov-Dec;28(6):667-76
pubmed: 7862753
Front Psychiatry. 2018 May 14;9:151
pubmed: 29867596
Psychol Methods. 2023 Aug;28(4):806-824
pubmed: 35404629
Psychol Methods. 2022 Apr 11;:
pubmed: 35404628
J Abnorm Psychol. 2017 Oct;126(7):1011-1016
pubmed: 29106284
Depress Anxiety. 2018 Sep;35(9):830-843
pubmed: 29697885
Multivariate Behav Res. 2021 Mar-Apr;56(2):224-242
pubmed: 31140875
Multivariate Behav Res. 2021 Mar-Apr;56(2):249-255
pubmed: 32731766
Psychol Methods. 2018 Dec;23(4):617-634
pubmed: 29595293
Psychother Psychosom. 2019;88(2):71-83
pubmed: 30889609
Front Psychol. 2015 Dec 16;6:1896
pubmed: 26733901
Psychiatr Pol. 1977 Jan-Feb;11(1):51-63
pubmed: 322178
J Affect Disord. 2018 Mar 1;228:75-82
pubmed: 29232567
Perspect Psychol Sci. 2017 Nov;12(6):999-1020
pubmed: 28873325
J Clin Psychol. 2008 Sep;64(9):1089-108
pubmed: 18683856
Glob Adv Health Med. 2021 Jan 13;10:2164956120986129
pubmed: 33489480
BMC Psychiatry. 2008 Jun 02;8:41
pubmed: 18518981
J Anxiety Disord. 2018 Jan;53:1-8
pubmed: 29125957
Clin Psychol Rev. 2021 Jan 24;84:101980
pubmed: 33540222
Behav Res Methods. 2018 Feb;50(1):195-212
pubmed: 28342071
Front Psychol. 2020 Aug 14;11:1980
pubmed: 32922338
Front Psychol. 2021 Feb 15;12:624254
pubmed: 33658964
Ageing Res Rev. 2013 Jan;12(1):151-6
pubmed: 22575906
Eur Arch Psychiatry Clin Neurosci. 2022 Aug;272(5):897-908
pubmed: 34635928
J Gen Intern Med. 2001 Apr;16(4):266-75
pubmed: 11318929
J Abnorm Psychol. 2018 Aug;127(6):541-547
pubmed: 30102064
Curr Opin Psychiatry. 2013 Jan;26(1):84-9
pubmed: 23187085
Psychiatr Pol. 2016;50(1):213-46
pubmed: 27086340
J Abnorm Psychol. 2017 Oct;126(7):989-999
pubmed: 29106282
J Affect Disord. 2017 Apr 15;213:70-77
pubmed: 28192737
Schizophr Bull. 2018 Oct 15;44(suppl_2):S468-S479
pubmed: 29684178
J Abnorm Psychol. 2017 Oct;126(7):969-988
pubmed: 29106281
Sci Rep. 2019 May 2;9(1):6846
pubmed: 31048731
BMC Med. 2020 Mar 3;18(1):34
pubmed: 32122350
BMC Med. 2015 Apr 06;13:72
pubmed: 25879936
Psychometrika. 2022 Mar;87(1):253-265
pubmed: 35334037
Int J Geriatr Psychiatry. 2015 Jul;30(7):737-43
pubmed: 25349149
Syst Rev. 2020 Apr 7;9(1):74
pubmed: 32264955
Front Hum Neurosci. 2018 Sep 07;12:353
pubmed: 30245619
Psychol Med. 2020 Feb;50(3):353-366
pubmed: 31875792
Healthcare (Basel). 2021 Apr 17;9(4):
pubmed: 33920545
J Abnorm Psychol. 2016 Aug;125(6):747-57
pubmed: 27505622
Front Psychiatry. 2021 Oct 28;12:719490
pubmed: 34777038