Evidence map›Paper›PMID 27427538›Full record

ArticleAmerican journal of industrial medicine2016

The impact of non-fatal workplace injuries and illnesses on mortality.

Leslie I Boden, Paul K O'Leary, Katie M Applebaum, Yorghos Tripodis

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Article
  7. Suicide and drug-related mortality following occupational injury.American journal of industrial medicine · 2019
    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.

Leslie I BodenDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.
Paul K O'LearyU.S. Social Security Administration, Office of Retirement and Disability Policy, Washington, District of Columbia.
Katie M ApplebaumDepartment of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia.
Yorghos TripodisDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.

Funding

Mortality Consequences of Non-Fatal Occupational InjuriesR21OH010555 · OH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BODEN, LESLIE I. · 2014 to 2015
$450k
NIOSH CDC HHS R21 OH010555
6 · The paper itself

Abstract

backgroundLittle research has examined the relationship between non-fatal workplace injuries and illnesses, and long-term mortality.

methodsWe linked non-fatal injury cases reported to the New Mexico workers' compensation system for 1994-2000 with Social Security Administration data on individual earnings and mortality through 2014. We then derived sex-specific Kaplan-Meier curves to show time to death for workers with lost-time injuries (n = 36,377) and comparison workers (n = 70,951). We fit multivariable Cox survival models to estimate the hazard ratio separately for male and female workers with lost-time injuries.

resultsThe estimated hazard ratio for lost-time injuries is 1.24 for women and 1.21 for men. Ninety-five percent confidence intervals were 1.15, 1.35 and 1.15, 1.27, respectively.

conclusionLost-time occupational injuries are associated with a substantially elevated mortality hazard. This implies an important formerly unmeasured cost of these injuries and a further reason to focus on preventing them. Am. J. Ind. Med. 59:1061-1069, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

Cost of IllnessAdolescentAdultAgedFemaleHumansIncomeKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisNew MexicoOccupational DiseasesOccupational InjuriesProportional Hazards ModelsUnited Statesall-cause mortalityCox regressionoccupational injury and illness

Identifiers

PMID27427538
PMCPMC8576832

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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.