Literature DB >> 30085438

A Comprehensive Model of Predictors of Suicide Attempt in Depressed Individuals and Effect of Treatment-Seeking Behavior: Results From a National 3-Year Prospective Study.

Nicolas Hoertel1,2,3,4, Carlos Blanco5, Mark Olfson2, Maria A Oquendo6, Melanie M Wall2,7, Silvia Franco2, Henri Leleu8, Cédric Lemogne3,4, Bruno Falissard9, Frédéric Limosin3,4.   

Abstract

OBJECTIVE: Multiple factors have an impact on the risk of attempting suicide in depressed individuals. The elevated number of contributing factors and their frequent co-occurrence suggest the need to combine them in integrative models to develop more effective suicide prevention strategies. This report presents a comprehensive model of the 3-year risk of suicide attempt in individuals with major depressive episode (MDE) using a longitudinal nationally representative study, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; Wave 1, 2001-2002; Wave 2, 2004-2005).
METHODS: Structural equation modeling was used to simultaneously examine effects of 4 broad groups of clinical factors previously identified as potential predictors of suicide attempts: (1) severity of depressive illness, (2) severity of psychiatric and other physical comorbidity, (3) sociodemographic characteristics, and (4) treatment-seeking behavior.
RESULTS: About 3.5% of the 2,587 participants with a DSM-IV diagnosis of MDE attempted suicide during the 3-year follow-up period. Several factors predicted attempted suicide independently of each other: the absence of treatment-seeking behavior for MDE, the severity of the depressive illness (ie, recurrent thoughts of death, prior suicide attempts, and severity of the general depressive symptom dimension representing the joint effect of most depressive symptoms), and the severity of comorbidities (ie, severity of the general psychopathology factor representing the mechanisms shared across all comorbid psychiatric disorders and lower mental health-related quality of life). No sociodemographic characteristics independently contributed to this risk.
CONCLUSIONS: This model may help identify high-risk individuals with MDE and inform future research on risk of suicide. © Copyright 2018 Physicians Postgraduate Press, Inc.

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Mesh:

Year:  2018        PMID: 30085438     DOI: 10.4088/JCP.17m11704

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  4 in total

1.  Age and Gender Differences in Trends and Impact of Depression on Quality of Life in the United States, 2008 to 2016.

Authors:  Ronald Anguzu; Sneha Nagavally; Aprill Z Dawson; Rebekah J Walker; Leonard E Egede
Journal:  Womens Health Issues       Date:  2021-03-30

2.  The association of clinical correlates, metabolic parameters, and thyroid hormones with suicide attempts in first-episode and drug-naïve patients with major depressive disorder comorbid with anxiety: a large-scale cross-sectional study.

Authors:  Yongjie Zhou; Wenchao Ren; Qianqian Sun; Katherine M Yu; Xiaoe Lang; Zezhi Li; Xiang Yang Zhang
Journal:  Transl Psychiatry       Date:  2021-02-04       Impact factor: 7.989

3.  Respective Mediating Effects of Social Position and Work Environment on the Incidence of Common Cardiovascular Risk Factors.

Authors:  Nicolas Hoertel; Marina Sanchez Rico; Frédéric Limosin; Joël Ménard; Céline Ribet; Sébastien Bonenfant; Marcel Goldberg; Marie Zins; Pierre Meneton
Journal:  J Am Heart Assoc       Date:  2022-01-13       Impact factor: 6.106

4.  Outcomes associated with antidepressant treatment according to the number of prescriptions and treatment changes: 5-year follow-up of a nation-wide cohort study.

Authors:  Charles Ouazana-Vedrines; Thomas Lesuffleur; Anne Cuerq; Anne Fagot-Campagna; Antoine Rachas; Chrystelle Gastaldi-Ménager; Nicolas Hoertel; Frédéric Limosin; Cédric Lemogne; Philippe Tuppin
Journal:  Front Psychiatry       Date:  2022-09-08       Impact factor: 5.435

  4 in total

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