Evidence map›Paper›PMID 23495467›Full record

ArticleMilitary medicine2013

Health care utilization and health indicators among a national sample of U.S. veterans in same-sex partnerships.

John Blosnich, Robert Bossarte, Eric Silver, Vincent Silenzio

Abstract read
In one paragraph

Article in Military medicine, 2013. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Evidence Review-Social Determinants of Health for Veterans.Journal of general internal medicine · 2018
    Review
  4. Observational
  5. Article
  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

4 authors.

John BlosnichDepartment of Veterans Affairs, VISN-2 Center of Excellence for Suicide Prevention, 400 Fort Hill Avenue, Canandaigua, NY 14424, USA.
Robert Bossarte
Eric Silver
Vincent Silenzio

Funding

Postdoctoral Training in Suicide Prevention Research (supplement 2)T32MH020061 · NIMH · UNIVERSITY OF ROCHESTER · PI VAN ORDEN, KIMBERLY ALLISON · 2001 to 2025
$5.9M
NIMH NIH HHS T32 MH020061
6 · The paper itself

Abstract

objectivesTo examine health indicators of same-sex partnered veterans as compared with their opposite-sex partnered veteran and nonveteran peers.

methodsSame-sex partner status was derived by self-reported same-sex partnerships in data from the 2004 Behavioral Risk Factor Surveillance System. Outcome variables included health risk disparities associated with sexual minority status (e.g., frequent mental distress) and veteran status (e.g., firearm ownership). Stratified multiple logistic regression models were used to examine the association of same-sex partnered veteran status with health indicators.

resultsSame-sex partnered veterans had higher odds of being overweight and keeping firearms in the house compared with same-sex partnered nonveterans. Same-sex partnered veterans were less likely than opposite-sex partnered veterans to be overweight, and they were more than twice as likely to be current smokers when compared with opposite-sex partnered nonveterans.

conclusionsFindings suggest both that some health disparities patterns identified by same-sex partnership status among the general population also exist among veteran populations, and that some unique distinctions may exist, particularly related to BMI and firearm ownership. Collection of information about sexual minority status within Department of Veterans Affairs data sources is needed to more accurately assess the health of this minority population.

Indexed as

Health Status DisparitiesHomosexualitySpousesVeteransAdultCross-Sectional StudiesFemaleFirearmsHealth BehaviorHealth ServicesHumansMaleOverweight

Identifiers

PMID23495467
PMCPMC3725588

What OpenQuestion holds

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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.