Evidence map›Paper›PMID 36922958›Full record

ArticlePreventive medicine reports2023

Physical health of Post-9/11 U.S. Military veterans in the context of Healthy People 2020 targeted topic areas: Results from the Comparative Health Assessment Interview Research Study.

Yasmin S Cypel, Dawne Vogt, Shira Maguen, Paul Bernhard, Elizabeth Lowery, William J Culpepper, Irvine Armand-Gibbs, Aaron I Schneiderman

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
9.3field-weighted citation impact, top 2% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. VA is a Leader in Mental Health and Social Service Research and Operations.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
    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

8 authors at 3 institutions in 1 country.

Yasmin S CypelEpidemiology Program, Health Outcomes Military Exposures (HOME) (12POP5), Office of Patient Care Services, U.S. Department of Veterans Affairs (VA), Washington, DC, USA.
Dawne VogtNational Center for PTSD, VA Boston Health Care System, Boston, MA, USA.
Shira MaguenSan Francisco VA Health Care System, San Francisco, CA, USA.
Paul BernhardEpidemiology Program, Health Outcomes Military Exposures (HOME) (12POP5), Office of Patient Care Services, U.S. Department of Veterans Affairs (VA), Washington, DC, USA.
Elizabeth LoweryEpidemiology Program, Health Outcomes Military Exposures (HOME) (12POP5), Office of Patient Care Services, U.S. Department of Veterans Affairs (VA), Washington, DC, USA.
William J CulpepperEpidemiology Program, Health Outcomes Military Exposures (HOME) (12POP5), Office of Patient Care Services, U.S. Department of Veterans Affairs (VA), Washington, DC, USA.
Irvine Armand-GibbsEpidemiology Program, Health Outcomes Military Exposures (HOME) (12POP5), Office of Patient Care Services, U.S. Department of Veterans Affairs (VA), Washington, DC, USA.
Aaron I SchneidermanEpidemiology Program, Health Outcomes Military Exposures (HOME) (12POP5), Office of Patient Care Services, U.S. Department of Veterans Affairs (VA), Washington, DC, USA.
United States Department of Veterans Affairs · USNational Center for PTSD · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale epidemiological studies suggest that veterans may have poorer physical health than nonveterans, but this has been largely unexamined in post-9/11 veterans despite research indicating their high levels of disability and healthcare utilization. Additionally, little investigation has been conducted on sex-based differences and interactions by veteran status. Notably, few studies have explored veteran physical health in relation to national health guidelines. Self-reported, weighted data were analyzed on post-9/11 U.S. veterans and nonveterans (n = 19,693; 6,992 women, 12,701 men; 15,160 veterans, 4,533 nonveterans). Prevalence was estimated for 24 physical health conditions classified by Healthy People 2020 targeted topic areas. Associations between physical health outcomes and veteran status were evaluated using bivariable and multivariable analyses. Back/neck pain was most reported by veterans (49.3 %), twice that of nonveterans (22.8 %)(p < 0.001). Adjusted odds ratios (AORs) for musculoskeletal and hearing disorders, traumatic brain injury, and chronic fatigue syndrome (CFS) were 3-6 times higher in veterans versus nonveterans (p < 0.001). Women versus men had the greatest adjusted odds for bladder infections (males:females, AOR = 0.08, 95 % CI:0.04-0.18)(p < 0.001), and greater odds than men for multiple sclerosis, CFS, cancer, irritable bowel syndrome/colitis, respiratory disease, some musculoskeletal disorders, and vision loss (p < 0.05). Cardiovascular-related conditions were most prominent for men (p < 0.001). Veteran status by sex interactions were found for obesity (p < 0.03; greater for male veterans) and migraine (p < 0.01; greater for females). Healthy People 2020 targeted topic areas exclude some important physical health conditions that are associated with being a veteran. National health guidelines for Americans should provide greater consideration of veterans in their design.

Indexed as

Afghanistan WarHealth promotionHealthy People 2020Iraq WarPhysical healthVeteransWomen

Identifiers

PMID36922958
PMCPMC10009290
OpenAlexW4318825550

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.