Evidence map›Paper›PMID 15951724›Full record

ArticleJournal of occupational and environmental medicine2005

Does occupation explain gender and other differences in work-related eye injury hospitalization rates?

Gordon S Smith, Andrew E Lincoln, Tien Y Wong, Nicole S Bell, Paul F Vinger, Paul J Amoroso, David A Lombardi

Open access · greenAbstract read
In one paragraph

Article in Journal of occupational and environmental medicine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Work-related ocular trauma in the United States: a National Trauma Databank study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Article
  4. Article
  5. 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

7 authors at 1 institution in 3 countries.

Gordon S SmithLiberty Mutual Research Institute for Safety, Hopkinton, Massachusetts 01748, USA. gordon.smith@libertymutual.com
Andrew E Lincoln
Tien Y Wong
Nicole S Bell
Paul F Vinger
Paul J Amoroso
David A Lombardi
U.S. Army Research Institute of Environmental Medicine · US

Funding

Alcohol and intentional injury in the U.S ArmyR01AA013324 · NIAAA · SOCIAL SECTORS DEVELOP STRATEGIES · PI BELL, NICOLE SUZANNE · 2001 to 2004
$1.5M
ALCOHOL USE AND INJURY OUTCOMES IN THE US ARMYR01AA011407 · NIAAA · SOCIAL SECTORS DEVELOP STRATEGIES · PI BELL, NICOLE S · 2001 to 2002
$231k
ALCOHOL USE AND INJURY OUTCOMES IN THE US ARMYR29AA011407 · NIAAA · SOCIAL SECTORS DEVELOP STRATEGIES · PI BELL, NICOLE S · 1998 to 2000
$98k
ALCOHOL RELATED DROWNINGS &FATAL OCCUPATIONAL INJURIESR29AA007700 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI SMITH, GORDON STEPHEN · 1988 to 1992
–
NIAAA NIH HHS R01 AA011407NIAAA NIH HHS R01 AA013324NIAAA NIH HHS R01 AA11407NIAAA NIH HHS R01 AA13324NIAAA NIH HHS R29 AA011407NIAAA NIH HHS R29AA07700
6 · The paper itself

Abstract

objectiveWe sought to determine whether demographic differences in eye injury rates persist after adjusting for occupational exposure.

methodsOn-duty eye injury hospitalizations were linked to occupation among active-duty US Army personnel.

resultsEye injury rates were higher for white soldiers, men, and for younger soldiers, even after adjusting for occupational group and specific job titles using multivariate models.

conclusionsThis finding contrasts with studies of other injuries, suggesting that occupation does not fully account for variations in eye injury risk. Because protective eye-wear can prevent most serious eye injuries, we hypothesize that differences in protective eye-wear use between men and women may contribute to differences in eye injury rates, although follow-up studies are needed to confirm this. Prevention efforts should consider targeting high-risk demographic groups in addition to high-risk occupations.

Indexed as

Military PersonnelOccupationsSex FactorsAdolescentAdultEye InjuriesFemaleHospitalizationHumansMaleMiddle AgedOccupational Diseases

Identifiers

PMID15951724
PMCPMC2141690
OpenAlexW2160724874

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.