Evidence map›Paper›PMID 37903168›Full record

ArticleMilitary psychology : the official journal of the Division of Military Psychology, American Psychological Association

Associations between psychological and respiratory distress in post-deployment Veterans.

Murphy P Danahy, Maegan M Paxton Willing, Larissa L Tate, Eric Shuping, David S Riggs

Open access · greenAbstract read
In one paragraph

Article in Military psychology : the official journal of the Division of Military Psychology, American Psychological Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Murphy P DanahyDepartment of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, Maryland.ORCID 0000-0003-3694-126X
Maegan M Paxton WillingDepartment of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Larissa L TateDepartment of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Eric ShupingSchool of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
David S RiggsDepartment of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Uniformed Services University of the Health Sciences · USHenry M. Jackson Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since September 11, 2001, over 2.7 million United States service members have deployed to South-West Asia and the Middle East and have been exposed to environmental hazards and psychological trauma. Many of these service members have returned with medical and psychological illnesses, some of which have proved complex and resistant to treatment. One notable constellation of symptoms is post-deployment respiratory illness, which has become a focus of research and policy efforts. The present study sought to examine the impact of post-deployment psychological distress on respiratory symptom severity. Data were obtained from the Veterans Affairs Airborne Hazards and Open Burn Pit Registry (AHOBPR) health surveillance database (

Indexed as

AsthmaMilitary PersonnelRespiratory Distress SyndromeVeteransDyspneaHumansUnited StatesanxietydeploymentdyspneahyperventilationMilitary

Identifiers

PMID37903168
PMCPMC10617378
OpenAlexW4304987246

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.