Literature DB >> 34048069

Stress Disorders and the Risk of Nonfatal Suicide Attempts in the Danish Population.

Amy E Street1,2, Tammy Jiang3, Erzsébet Horváth-Puhó4, Anthony J Rosellini5, Timothy L Lash6, Henrik T Sørensen4, Jaimie L Gradus3,4.   

Abstract

Accurate documentation of the associations between stress disorders and suicide attempts provides important information about a high-risk population and target group for preventative interventions. In this case-cohort study, cases were all individuals born or residing in Denmark who made a nonfatal suicide attempt during 1995-2015 (n = 22,974). The comparison subcohort included a 5% random sample of the Danish population on January 1, 1995 (n = 265,183). Stress disorder diagnoses and suicide attempts were identified using ICD-10 codes from national medical registries. The presence of any stress disorder substantially increased the rate of suicide attempts versus the comparison subcohort, rate per 100,000 person-years (PYs) = 604 vs. 13. We observed associations between each type of stress disorder and suicide attempts, hazard ratios (HRs) = 10.1-37.6, even after adjustment for potential confounders, adjusted HRs = 1.8-8.3, with the strongest associations for adjustment disorder relative to other diagnoses. After adjusting for demographic and health variables, the rate of suicide attempts among individuals with any stress disorder diagnosis was nearly 13 times the suicide attempt rate in the comparison cohort. A bias analysis demonstrated that associations remained robust despite potential differential misclassification of suicide attempts. Study strengths included the use of individual-level data linked across administrative and medical registries in the setting of universal health care and the use of longitudinal analyses capturing data over 20 years. The study demonstrated associations between the full range of stress disorders and suicide attempts, extending research specific to posttraumatic stress disorder.
© 2021 International Society for Traumatic Stress Studies.

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Mesh:

Year:  2021        PMID: 34048069      PMCID: PMC8627519          DOI: 10.1002/jts.22695

Source DB:  PubMed          Journal:  J Trauma Stress        ISSN: 0894-9867


  42 in total

1.  Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study To Assess Risk and rEsilience in Servicemembers (Army STARRS).

Authors:  Ronald C Kessler; Christopher H Warner; Christopher Ivany; Maria V Petukhova; Sherri Rose; Evelyn J Bromet; Millard Brown; Tianxi Cai; Lisa J Colpe; Kenneth L Cox; Carol S Fullerton; Stephen E Gilman; Michael J Gruber; Steven G Heeringa; Lisa Lewandowski-Romps; Junlong Li; Amy M Millikan-Bell; James A Naifeh; Matthew K Nock; Anthony J Rosellini; Nancy A Sampson; Michael Schoenbaum; Murray B Stein; Simon Wessely; Alan M Zaslavsky; Robert J Ursano
Journal:  JAMA Psychiatry       Date:  2015-01       Impact factor: 21.596

2.  A meta-analysis of the association between posttraumatic stress disorder and suicidality: the role of comorbid depression.

Authors:  Maria Panagioti; Patricia A Gooding; Nicholas Tarrier
Journal:  Compr Psychiatry       Date:  2012-04-05       Impact factor: 3.735

3.  Suicide mortality among male veterans discharged from Veterans Health Administration acute psychiatric units from 2005 to 2010.

Authors:  Peter C Britton; Kipling M Bohnert; Mark A Ilgen; Cathleen Kane; Brady Stephens; Wilfred R Pigeon
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2017-04-11       Impact factor: 4.328

Review 4.  Posttraumatic Stress Disorder and Death From Suicide.

Authors:  Jaimie L Gradus
Journal:  Curr Psychiatry Rep       Date:  2018-09-17       Impact factor: 5.285

5.  Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.

Authors:  Jaimie L Gradus; Anthony J Rosellini; Erzsébet Horváth-Puhó; Amy E Street; Isaac Galatzer-Levy; Tammy Jiang; Timothy L Lash; Henrik T Sørensen
Journal:  JAMA Psychiatry       Date:  2020-01-01       Impact factor: 21.596

6.  Cross-national analysis of the associations among mental disorders and suicidal behavior: findings from the WHO World Mental Health Surveys.

Authors:  Matthew K Nock; Irving Hwang; Nancy Sampson; Ronald C Kessler; Matthias Angermeyer; Annette Beautrais; Guilherme Borges; Evelyn Bromet; Ronny Bruffaerts; Giovanni de Girolamo; Ron de Graaf; Silvia Florescu; Oye Gureje; Josep Maria Haro; Chiyi Hu; Yueqin Huang; Elie G Karam; Norito Kawakami; Viviane Kovess; Daphna Levinson; Jose Posada-Villa; Rajesh Sagar; Toma Tomov; Maria Carmen Viana; David R Williams
Journal:  PLoS Med       Date:  2009-08-11       Impact factor: 11.069

7.  Suicide mortality among individuals receiving treatment for depression in the Veterans Affairs health system: associations with patient and treatment setting characteristics.

Authors:  Kara Zivin; H Myra Kim; John F McCarthy; Karen L Austin; Katherine J Hoggatt; Heather Walters; Marcia Valenstein
Journal:  Am J Public Health       Date:  2007-10-30       Impact factor: 9.308

8.  The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients.

Authors:  Sandra K Thygesen; Christian F Christiansen; Steffen Christensen; Timothy L Lash; Henrik T Sørensen
Journal:  BMC Med Res Methodol       Date:  2011-05-28       Impact factor: 4.615

9.  Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

Authors:  R C Kessler; M B Stein; M V Petukhova; P Bliese; R M Bossarte; E J Bromet; C S Fullerton; S E Gilman; C Ivany; L Lewandowski-Romps; A Millikan Bell; J A Naifeh; M K Nock; B Y Reis; A J Rosellini; N A Sampson; A M Zaslavsky; R J Ursano
Journal:  Mol Psychiatry       Date:  2016-07-19       Impact factor: 15.992

Review 10.  Adjustment Disorder: Current Developments and Future Directions.

Authors:  Meaghan L O'Donnell; James A Agathos; Olivia Metcalf; Kari Gibson; Winnie Lau
Journal:  Int J Environ Res Public Health       Date:  2019-07-16       Impact factor: 3.390

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