Evidence map›Paper›PMID 39214033›Full record

ArticleJournal of psychiatric research2024

Sleep disorder symptoms and suicidal urges among US Marines seeking suicide treatment: Findings from an intensive daily assessment study.

Lily A Brown, Yiqin Zhu, Bridget Feler, Marin Kautz, Daniel J Taylor, Kristi E Pruiksma, Justin Baker, Johnnie Young, Lauren Khazem, Craig J Bryan and 1 more

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Scoping Review of Experience Sampling Methodology Investigations of Posttraumatic Stress Disorder Symptoms.Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association · 2026
    Article
  3. Article
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

11 authors.

Lily A BrownDepartment of Psychiatry, University of Pennsylvania, United States. Electronic address: lilybr@pennmedicine.upenn.edu.
Yiqin ZhuDepartment of Psychiatry, University of Pennsylvania, United States; Department of Psychological and Brain Sciences, Washington University in St. Louis, United States.
Bridget FelerDepartment of Psychiatry, University of Pennsylvania, United States.
Marin KautzDepartment of Psychiatry, University of Pennsylvania, United States.
Daniel J TaylorDepartment of Psychology, University of Arizona, Tucson, AZ, United States.
Kristi E PruiksmaDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.
Justin BakerDepartment of Psychiatry & Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States.
Johnnie YoungDepartment of Psychiatry & Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States.
Lauren KhazemDepartment of Psychiatry & Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States.
Craig J BryanDepartment of Psychiatry & Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States.
Joshua WileyTurner Institute for Brain & Mental Health, Monash University, United States.

Funding

Penn Mental Health AIDS Research CenterP30MH097488 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Karine Dube · 2013 to 2026
$23.5M
Nocturnal wakefulness, cognitive control, and suicidal urges: A prospective evaluation of variance during residential treatmentR21MH123888 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BREDEMEIER, KEITH ERIC, BROWN, LILY A · 2021 to 2022
$447k
NIMH NIH HHS P30 MH097488NIMH NIH HHS R21 MH123888
6 · The paper itself

Abstract

backgroundRates of suicide in United States Marines are among the highest in the military, and sleep disorder symptoms are a known risk factor for suicide in the military. Intensive ecological momentary assessments (EMA) might improve the ability to detect periods that are characterized by increased suicidal ideation. Marines who were at high risk for suicide were intensively assessed for one month on sleep, suicidal urges, posttraumatic stress disorder (PTSD) and depression symptoms.

methodsU.S. Marines (N = 40) who had a past month suicide attempt or suicidal urges with intent were sent EMA for 28 days. Mixed effects models explored associations among daily sleep, suicidal urges, PTSD, and depression symptoms.

resultsWorsened sleep indicators on a given night significantly predicted higher maximum values of suicide urges the following day. Worse sleep quality the prior night was moderately associated with more severe PTSD symptoms and depression symptoms. Greater severity of PTSD symptoms and depression symptoms were strongly associated with both the maximum value and the range of suicide urges. PTSD and depression symptoms mediated the relationship between sleep quality and suicidal urges. Participants reported that 0000-0300 had the greatest elevation in endorsement of highest suicide urges. LIMITATIONS: This study had a small sample size may not generalize beyond active duty Marines.

conclusionsPoor sleep quality and other sleep markers were an important risk factor for suicidal urges among U.S. Marines. This relationship was mediated by exacerbations in PTSD and depression symptoms. Interventions are needed to interrupt suicide risk during and following nights with poor sleep.

Indexed as

DepressionMilitary PersonnelSleep Wake DisordersStress Disorders, Post-TraumaticSuicidal IdeationSuicide, AttemptedAdultEcological Momentary AssessmentFemaleHumansMaleSuicideUnited StatesYoung AdultMilitaryPosttraumatic stress disorderSleepSuicidal ideation

Identifiers

PMID39214033
PMCPMC12371704

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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.