Evidence map›Paper›PMID 21281496›Full record

ArticleBMC public health2011

Health impact of US military service in a large population-based military cohort: findings of the Millennium Cohort Study, 2001-2008.

Tyler C Smith, Isabel G Jacobson, Tomoko I Hooper, Cynthia A Leardmann, Edward J Boyko, Besa Smith, Gary D Gackstetter, Timothy S Wells, Paul J Amoroso, Gregory C Gray and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

13 authors.

Tyler C SmithCenter for Deployment Health Research, Naval Health Research Center, 140 Sylvester Rd, San Diego, CA 92106-3521, USA. tyler.c.smith@med.navy.mil
Isabel G Jacobson
Tomoko I Hooper
Cynthia A Leardmann
Edward J Boyko
Besa Smith
Gary D Gackstetter
Timothy S Wells
Paul J Amoroso
Gregory C Gray
James R Riddle
Margaret A K Ryan
Millennium Cohort Study Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCombat-intense, lengthy, and multiple deployments in Iraq and Afghanistan have characterized the new millennium. The US military's all-volunteer force has never been better trained and technologically equipped to engage enemy combatants in multiple theaters of operations. Nonetheless, concerns over potential lasting effects of deployment on long-term health continue to mount and are yet to be elucidated. This report outlines how findings from the first 7 years of the Millennium Cohort Study have helped to address health concerns related to military service including deployments.

methodsThe Millennium Cohort Study was designed in the late 1990s to address veteran and public concerns for the first time using prospectively collected health and behavioral data.

resultsOver 150,000 active-duty, reserve, and National Guard personnel from all service branches have enrolled, and more than 70% of the first 2 enrollment panels submitted at least 1 follow-up survey. Approximately half of the Cohort has deployed in support of operations in Iraq and Afghanistan.

conclusionThe Millennium Cohort Study is providing prospective data that will guide public health policymakers for years to come by exploring associations between military exposures and important health outcomes. Strategic studies aim to identify, reduce, and prevent adverse health outcomes that may be associated with military service, including those related to deployment.

Indexed as

Health StatusMilitary PersonnelCohort StudiesFemaleHealth BehaviorHumansMaleProspective StudiesUnited States

Identifiers

PMID21281496
PMCPMC3041662

What OpenQuestion holds

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LicenceCC BY
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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.