Evidence map›Paper›PMID 40329029›Full record

ArticleJournal of general internal medicine2025

Clinical Management of Sleep Disturbances in Post-9/11 Men and Women Veterans: A 20-year Prospective Cohort Study.

Allison E Gaffey, Sally G Haskell, Matthew M Burg, Henry K Yaggi, Kristin M Mattocks, Lori A Bastian, Melissa Skanderson, Eric C DeRycke, Eric D A Hermes, Cynthia A Brandt

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Allison E GaffeyVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA. allison.gaffey@yale.edu.ORCID 0000-0002-2960-2772
Sally G HaskellVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA.
Matthew M BurgVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA.
Henry K YaggiVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA.
Kristin M MattocksVA Central Western Massachusetts Healthcare System, Leeds, MA, USA.
Lori A BastianVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA.
Melissa SkandersonVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA.
Eric C DeRyckeVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA.
Eric D A HermesVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA.
Cynthia A BrandtVA Connecticut Healthcare System, Yale School of Medicine, West Haven, CT, USA.

Funding

NHLBI NIH HHS K23168233U.S. Department of Veterans Affairs VISN1 CDA1
6 · The paper itself

Abstract

introductionSleep disorders and chronic conditions that are comorbid with disordered sleep represent a high burden to the U.S. population, and Veterans have a particularly high risk for disordered sleep. Sleep disorders also present differently by sex and there is a rapidly growing proportion of women Veterans. Among the most recent Veteran cohort (i.e., discharged post-9/11), the extent of sleep disorders and how those conditions are managed is unknown. The objectives were to characterize the frequency of sleep assessment, diagnosis, and treatment among post-9/11 Veterans served by the Veterans Health Administration (VA), the timing of sleep management, and to determine if there were sex-based disparities in all sleep care.

methodsThis prospective cohort study included all post-9/11 Veterans who enrolled in VA care, and completed ≥ 1 outpatient encounter, 10/1/2001-9/30/2021. Diagnostic and procedural codes, health factors, and dates were used to extract variables for assessment (e.g., behavioral, polysomnography), diagnoses (i.e., insomnia, sleep-related breathing [SRBD], comorbid insomnia and SRBD [COMISA], sleep-related movement [SRMD], or Other disorders), treatment of insomnia or SRBD, and time to sleep assessment, diagnosis, and treatment. Logistic regressions assessed likelihood of sleep care by sex.

resultsThe final sample included 1,113,633 patients (12% women, 61% White). Overall, 39% had sleep disorders - 27% with SRBD, 18% with insomnia, 8% with COMISA, 2% with SRMD, and 6% with Other. Men were more likely to have any diagnosis, especially SRBD. Women were assessed up to one year later than men and had greater odds of insomnia or SRMD. Women also had greater odds of insomnia treatment and those with SRBD were 31% less likely to receive treatment than men.

conclusionsAs managing sleep health is central to patient-centered care, concerted efforts are required to implement existing VA guidelines concerning sleep, bridging men and women Veteran's sleep needs with available resources.

Indexed as

Disease ManagementSleep Wake DisordersVeteransAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesSex FactorsUnited StatesUnited States Department of Veterans AffairsClinical managementInsomniaSex differencesSleepSleep apneaVeterans

Identifiers

PMID40329029
PMCPMC12405142

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.