How do distal and proximal risk factors combine to predict suicidal ideation and behaviors? A prospective study of the narrative crisis model of suicide.
Journal
Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073
Informations de publication
Date de publication:
01 12 2020
01 12 2020
Historique:
received:
02
10
2019
revised:
17
07
2020
accepted:
25
08
2020
entrez:
17
10
2020
pubmed:
18
10
2020
medline:
6
3
2021
Statut:
ppublish
Résumé
The Narrative Crisis Model of suicide posits that when individuals with trait vulnerabilities for suicide face stressful life events, they may develop distorted perceptions of themselves and society that culminate in a sense of no future. Referred to as the suicide narrative, these perceptions makes them more likely to experience the Suicidal Crisis Syndrome, an acute affective condition that increases the risk of engaging in suicidal ideation behaviors. The goal of this study was to assess the stage components of this model. The stage components of the NCM were assessed among adult psychiatric inpatients (N = 223; listwise N = 85) aged 18-65 years old and admitted for suicidal ideation or attempts. Suicidal outcomes were assessed at one month follow-up. Structural equation modeling (SEM) was used to assess the model and its prediction of prospective suicidal outcomes. The model was supported by the SEM and proved to be a good fit for the data. Each temporal stage was significantly predicted by the precedent stage in the model and 13% of the variance in suicidal ideation and behaviors (when assessed conjointly) were explained by the model. When suicidal ideation and attempts were assessed separately, the amount of variance explained was 10.8% for suicidal ideation and 40.7% for suicidal attempts. The progression from trait vulnerabilities to suicidal outcomes proposed by the NCM was supported by our findings. These findings have clinical implications in the assessment and treatment of suicide risk and will need replication with larger samples.
Identifiants
pubmed: 33065834
pii: S0165-0327(20)32694-X
doi: 10.1016/j.jad.2020.08.088
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
914-926Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.