Suicidal ideation, behavior, and mortality in male and female US veterans with severe mental illness.

Bipolar disorder Intentional self-harm Overall mortality Psychiatric comorbidity Schizophrenia Suicidal behavior Suicidal ideation

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 04 2020
Historique:
received: 12 10 2019
revised: 20 12 2019
accepted: 06 02 2020
pubmed: 18 2 2020
medline: 16 2 2021
entrez: 18 2 2020
Statut: ppublish

Résumé

We compared male and female American veterans with schizophrenia or bipolar disorder regarding clinical characteristics associated with lifetime suicidal ideation and behavior. Subsequent mortality, including death by suicide, was also assessed. Data from questionnaires and face-to-face evaluations were collected during 2011-2014 from 8,049 male and 1,290 female veterans with schizophrenia or bipolar disorder. In addition to comparing male-female characteristics, Cox regression models-adjusted for demographic information, medical-psychiatric comorbidities, and self-reported suicidal ideation and behavior-were used to examine gender differences in associations of putative risk factors with suicide-specific and all-cause mortality during up to six years of follow-up. Women overall were younger, more likely to report a history of suicidal behavior, less likely to be substance abusers, and had lower overall mortality during follow-up. Among women only, psychiatric comorbidity was paradoxically associated with lower all-cause mortality (hazard ratio [HR]=0.53, 95% CI, 0.29-0.96, p = 0.037 for 1 disorder vs. none; HR=0.44, 95% CI, 0.25-0.77, p = 0.004 for ≥2 disorders vs. none). Suicide-specific mortality involved relatively few events, but crude rates were an order of magnitude higher than in the U.S. general and overall veteran populations. Incomplete cause-of-death information and low statistical power for male-female comparisons regarding mortality. Female veterans with SMI differed from females in the general population by having a higher risk of suicide attempts. They also had more lifetime suicide attempts than male veterans with same diagnoses. These differences should inform public policy and clinical planning.

Sections du résumé

BACKGROUND
We compared male and female American veterans with schizophrenia or bipolar disorder regarding clinical characteristics associated with lifetime suicidal ideation and behavior. Subsequent mortality, including death by suicide, was also assessed.
METHODS
Data from questionnaires and face-to-face evaluations were collected during 2011-2014 from 8,049 male and 1,290 female veterans with schizophrenia or bipolar disorder. In addition to comparing male-female characteristics, Cox regression models-adjusted for demographic information, medical-psychiatric comorbidities, and self-reported suicidal ideation and behavior-were used to examine gender differences in associations of putative risk factors with suicide-specific and all-cause mortality during up to six years of follow-up.
RESULTS
Women overall were younger, more likely to report a history of suicidal behavior, less likely to be substance abusers, and had lower overall mortality during follow-up. Among women only, psychiatric comorbidity was paradoxically associated with lower all-cause mortality (hazard ratio [HR]=0.53, 95% CI, 0.29-0.96, p = 0.037 for 1 disorder vs. none; HR=0.44, 95% CI, 0.25-0.77, p = 0.004 for ≥2 disorders vs. none). Suicide-specific mortality involved relatively few events, but crude rates were an order of magnitude higher than in the U.S. general and overall veteran populations.
LIMITATIONS
Incomplete cause-of-death information and low statistical power for male-female comparisons regarding mortality.
CONCLUSIONS
Female veterans with SMI differed from females in the general population by having a higher risk of suicide attempts. They also had more lifetime suicide attempts than male veterans with same diagnoses. These differences should inform public policy and clinical planning.

Identifiants

pubmed: 32063566
pii: S0165-0327(19)32816-2
doi: 10.1016/j.jad.2020.02.022
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

144-152

Informations de copyright

Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Dr. Harvey has received consulting fees or travel reimbursements from Boehringer Ingelheim, Intra-Cellular Therapies, Minerva, Otsuka America (Otsuka Digital Health), Sanofi Pharma, Sunovion Pharma, Takeda Pharma, and Teva during the past year. He receives royalties from the Brief Assessment of Cognition in Schizophrenia, and he has a research grant from Takeda and from the Stanley Medical Research Foundation. These activities are unrelated to the content of this paper.

Auteurs

Mihaela Aslan (M)

VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, United States; Department of Medicine, Yale School of Medicine, New Haven, CT, United States.

Krishnan Radhakrishnan (K)

VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, United States; College of Medicine, University of Kentucky, Lexington, KY, United States.

Nallakkandi Rajeevan (N)

VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, United States; Yale Center for Medical Informatics, Yale School of Medicine, New Haven, CT, United States.

Melyssa Sueiro (M)

Research Service, Bruce W. Carter Veterans Affairs (VA) Medical Center, Miami, FL, United States.

Joseph L Goulet (JL)

Yale Center for Medical Informatics, Yale School of Medicine, New Haven, CT, United States; Pain, Research, Informatics, Multimorbidities, & Education Center, West Haven, CT, United States.

Yuli Li (Y)

VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, United States; Yale Center for Medical Informatics, Yale School of Medicine, New Haven, CT, United States.

Colin Depp (C)

VA San Diego Healthcare System, San Diego, CA, United States; Department of Psychiatry, UC San Diego, La Jolla, CA, United States.

John Concato (J)

VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, United States; Department of Medicine, Yale School of Medicine, New Haven, CT, United States.

Philip D Harvey (PD)

Research Service, Bruce W. Carter Veterans Affairs (VA) Medical Center, Miami, FL, United States; Department of Psychiatry, University of Miami Miller School of Medicine, Miami, FL, United States. Electronic address: pharvey@med.miami.edu.

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Classifications MeSH