Evidence map›Paper›PMID 36804111›Full record

ArticleJournal of psychiatric research2023

Phenotypic predictors of suicide subtypes from pre-to postdeployment in active duty military personnel.

Lily A Brown, Yiqin Zhu, Hillary Coon, Stacey Young-McCaughan, Brooke A Fina, Katherine A Dondanville, Ann Marie Hernandez, Brett T Litz, Jim Mintz, Douglas M Maurer and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of psychiatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Lily A BrownDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: lilybr@upenn.edu.
Yiqin ZhuDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Hillary CoonDepartment of Psychiatry, University of Utah, Salt Lake City, UT, USA.
Stacey Young-McCaughanDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research and Development Service, South Texas Veterans Health Care System, San Antonio, TX, USA.
Brooke A FinaDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Katherine A DondanvilleDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Ann Marie HernandezDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Valiant Mental Health, San Antonio, TX, USA.
Brett T LitzMassachusetts Veterans Epidemiological Research and Information Center, VA Boston Healthcare System, Boston, MA, USA; Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA; Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Jim MintzDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research and Development Service, South Texas Veterans Health Care System, San Antonio, TX, USA; Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Douglas M MaurerDepartment of Family and Community Medicine, Carl R. Darnall Army Medical Center, Fort Hood, Texas, USA; Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, WA, USA.
Kevin M KellyDepartment of Family and Community Medicine, Carl R. Darnall Army Medical Center, Fort Hood, Texas, USA; Office of Consultants to the Army Surgeon General, Washington, DC, USA.
Alan L PetersonDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research and Development Service, South Texas Veterans Health Care System, San Antonio, TX, USA; Department of Psychology, University of Texas at San Antonio, San Antonio, TX, USA.
Craig J BryanDepartment of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, USA.
Douglas E WilliamsonDepartment of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, USA; Durham VA Medical Center, Durham, NC, USA.
STRONG STAR Consortium

Funding

Prediction of suicide death using EHR and polygenic risk scoresR01MH123489 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI COON, HILARY · 2020 to 2025
$4.2M
Identifying suicidal subtypes and dynamic indicators of increasing and decreasing suicide riskR01MH117600 · NIMH · UNIVERSITY OF UTAH · PI BRYAN, CRAIG J. · 2018 to 2020
$1.1M
Clinical Studies on Bile Acids in Barrett's EsophagusI01CX000116 · VA · VA NORTH TEXAS HEALTH CARE SYSTEM · PI SOUZA, RHONDA F, SPECHLER, STUART JON · 2009 to 2012
–
CSRD VA I01 CX000116CSRD VA I01 CX001134CSRD VA I01 CX001139CSRD VA I01 CX001141NIMH NIH HHS R01 MH117600NIMH NIH HHS R01 MH123489
6 · The paper itself

Abstract

Military service members are at increased risk for suicide, but there are few strategies for detecting those who are at highest risk after a deployment. Using all available data collected from 4119 Military service members before and after their deployment to Iraq for Operation Iraqi Freedom, we tested whether predeployment characteristics clustered together to predict postdeployment suicidal risk. Latent class analysis showed that three classes best characterized the sample at predeployment. Class 1 had significantly higher scores on PTSD severity pre- and postdeployment than Classes 2 and 3 (Ps < .001). At postdeployment, Class 1 also had a greater proportion of endorsement of lifetime and past year suicidal ideation than Classes 2 and 3 (Ps < .05) and a greater proportion of lifetime suicide attempts than Class 3 (P < .001). Class 1 also had a greater proportion of endorsement of past-30-days intention to act on suicidal thoughts than Classes 2 and 3 (Ps < .05) and past-30-days specific plan for suicide than Classes 2 and 3 (Ps < .05). The study showed that based only on predeployment data, it is possible to determine which service members might be at highest risk for suicidal ideation and behavior at postdeployment.

Indexed as

Military PersonnelStress Disorders, Post-TraumaticHumansIraqIraq War, 2003-2011Risk FactorsSuicidal IdeationSuicide, AttemptedActive duty military personnelLatent class analysisPosttraumatic stress disorder (PTSD)Suicidal behaviorSuicidal ideation

Identifiers

PMID36804111
PMCPMC11420699

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.