Literature DB >> 32553380

Suicidal ideation and affect lability in single and multiple suicidal attempters with Major Depressive Disorder: An exploratory network analysis.

D Núñez1, J L Ulloa2, S Guillaume3, E Olié3, A Alacreu-Crespo3, P Courtet3.   

Abstract

INTRODUCTION: A better understanding of the specific contribution of risk factors to suicidal behavior could arise from analyzing suicidal ideation (SI) in clinical samples, and comparing single versus multiple suicide attempters through contemporary methods allowing complex and dynamical analyses of multiple and simultaneously interacting suicide risk factors.
METHOD: We explored associations among suicidal ideation (SI), affect lability and other suicide risk factors in 323 suicidal attempters diagnosed with major depressive disorder (MDD). We analyzed the network structure and centrality of the total sample, and compared single versus multiple attempters and subjects with low and high suicidal ideation.
RESULTS: SI was connected with anxiety (trait) and hopelessness. Central nodes for global and specific groups were affect lability (from anxiety to depression), anxiety as a trait, and harm avoidance. We observed some specific differences between clinical profiles of repeaters and non-repeaters and significant network density between high and low SI. LIMITATIONS: Because our cross-sectional design, we cannot establish casual relationships among variables. We only examined associations at group level but not at single subject level.
CONCLUSIONS: Affect lability (mainly the shifts from anxiety to depression) and trait anxiety were central in each estimated network. These symptoms might be suitable targets for early detecting and treating suicidal patients.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Affect lability; Major depressive disorder; Suicidal ideation; Suicide attempters

Year:  2020        PMID: 32553380     DOI: 10.1016/j.jad.2020.04.004

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  3 in total

1.  Coexisting service-related factors preceding suicide: a network analysis.

Authors:  Malin Rex; Thomas Brezicka; Eric Carlström; Margda Waern; Lilas Ali
Journal:  BMJ Open       Date:  2022-04-21       Impact factor: 3.006

2.  A network analysis of risk factors for suicide in Iraq/Afghanistan-era veterans.

Authors:  Robert C Graziano; Frances M Aunon; Stefanie T LoSavio; Eric B Elbogen; Jean C Beckham; Kirsten H Dillon
Journal:  J Psychiatr Res       Date:  2021-04-05       Impact factor: 5.250

3.  Network structure of depression and anxiety symptoms in Chinese female nursing students.

Authors:  Lei Ren; Yifei Wang; Lin Wu; Zihan Wei; Long-Biao Cui; Xinyi Wei; Xinyu Hu; Jiaxi Peng; Yinchuan Jin; Fengzhan Li; Qun Yang; Xufeng Liu
Journal:  BMC Psychiatry       Date:  2021-05-31       Impact factor: 3.630

  3 in total

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