Evidence map›Paper›PMID 33406270›Full record

ArticleSleep2021

Identifying and characterizing longitudinal patterns of insomnia across the deployment cycle in active duty Army soldiers.

Katherine E Miller, Christine M Ramsey, Elaine M Boland, Elizabeth A Klingaman, Philip Gehrman

Open access · hybridAbstract read
In one paragraph

Article in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  4. Article
  5. Observational
  6. 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

5 authors at 2 institutions in 1 country.

Katherine E MillerMental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.ORCID 0000-0003-1108-2630
Christine M RamseyMental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.
Elaine M BolandMental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.
Elizabeth A KlingamanDepartment of Veterans Affairs VISN 5 Mental Illness Research, Education and Clinical Center, Baltimore, MD, USA.
Philip GehrmanMental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.
Veterans Health Administration · USUniversity of Maryland, Baltimore · US

Funding

The Role of Effort Discounting in the Link between Insomnia and DepressionIK2CX001501 · VA · PHILADELPHIA VA MEDICAL CENTER · PI BOLAND, ELAINE M · 2017 to 2022
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Characterization of sleep with trauma nightmares using ambulatory sleep measurementIK2CX001874 · VA · PHILADELPHIA VA MEDICAL CENTER · PI MILLER, KATHERINE ELIZABETH · 2019 to 2024
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CBT-I for Psychosis: Guidelines, Preliminary Efficacy, and Functional OutcomesIK2RX001836 · VA · BALTIMORE VA MEDICAL CENTER · PI KLINGAMAN, ELIZABETH A · 2016 to 2021
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CSRD VA IK2 CX001501CSRD VA IK2 CX001874RRD VA IK2 RX001836
6 · The paper itself

Abstract

STUDY

objectivesThe present study characterized a sample of 4,667 Army soldiers based on their patterns of insomnia before, during, and after deployment, and explored pre-deployment factors predictive of these patterns.

methodsData were analyzed from the Army Study to Assess Risk and Resilience in Service members (STARRS)-Pre/Post Deployment Study (PPDS), using surveys that captured data approximately 1-2 months pre-deployment, and 3- and 9-month post-deployment from soldiers deployed to Afghanistan. Patterns of insomnia across time were examined. Theoretically derived variables linked to sleep disturbance were examined as predictors of the insomnia patterns.

resultsFive longitudinal patterns of insomnia characterized the majority of the sample: "No Insomnia" (no insomnia symptoms at any timepoint; 31%), "Deployment-related Insomnia" (no pre-deployment insomnia, developed insomnia symptoms during deployment and recovered; 40%), "Incident Insomnia" (development insomnia during or shortly after deployment that did not remit; 14%), "Chronic Insomnia" (insomnia both pre- and post-deployment; 11%), and "Other Insomnia" (reported insomnia at ≥1 timepoint, but no clear pattern across the deployment cycle; 4%). Several pre-deployment factors were predictive of insomnia trajectories, including lifetime major depressive episodes, traumatic brain injury history, posttraumatic stress disorder, and past year personal life stressors.

conclusionsDistinct longitudinal patterns of insomnia were identified, with more than half of the sample reporting insomnia at some point in the deployment cycle. Identifying mental health conditions that are associated with different insomnia patterns prior to deployment can inform targeted interventions to reduce long-term sleep difficulty.

Indexed as

Major Depressive DisorderMilitary PersonnelSleep Initiation and Maintenance DisordersStress Disorders, Post-TraumaticHumansMental HealthRisk FactorsArmy STARRSdeploymentinsomniamental healthsoldiersveterans

Identifiers

PMID33406270
PMCPMC8271134
OpenAlexW3118639588

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.