Evidence map›Paper›PMID 32445511›Full record

ArticleAmerican journal of industrial medicine2020

Demographic considerations in analyzing decedents by usual occupation.

Cora Peterson, Pamela K Schumacher, Andrea L Steege

Open access · greenAbstract read
In one paragraph

Article in American journal of industrial medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Cora PetersonDivision of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0001-7955-0977
Pamela K SchumacherDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cinicinnati, Ohio.
Andrea L SteegeDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cinicinnati, Ohio.ORCID 0000-0001-5665-2559
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundPublic health research uses decedents' usual industry and occupation (I&O) from US death certificates to assess mortality incidence and risk factors. Of necessity, such research may exclude decedents with insufficient I&O information, and assume death certificates reflect current (at time of death) I&O. This study explored the demographic implications of such research conditions by describing usual occupation and current employment status among decedents by demographic characteristics in a large multistate data set.

methodsDeath certificate occupations classified by Standard Occupational Classification (SOC) (ie, compensated occupation) and other categories (eg, student) for 36 507 decedents (suicide, homicide, other, undetermined intent) age 22+ years from the 2016 National Violent Death Reporting System's (NVDRS) 32 US states were analyzed. Decedents not employed at the time of death (eg, laid off) were identified through nondeath certificate NVDRS data sources (eg, law enforcement reports).

resultsFemale decedents, younger (age < 30 years) male decedents, some non-White racial group decedents, less educated decedents, and undetermined intent death decedents were statistically less likely to be classified by SOC based on death certificates-primarily due to insufficient information. Decedents classified by SOC from death certificates but whose non-death certificate data indicated no employment at the time of death were more often 30+ years old, White, less educated, died by suicide, or had nonmanagement occupations.

conclusionsWhether decedents have classifiable occupations from death certificates may vary by demographic characteristics. Research studies that assess decedents by usual I&O can identify and describe how any such demographic trends may affect research results on particular public health topics.

Indexed as

Death CertificatesAdultAgedCause of DeathEmploymentFemaleHomicideHumansIndustryMaleMiddle AgedOccupationsPopulation SurveillanceRisk FactorsSuicideUnited Statesdeath certificateshomicide/statistics & numerical dataoccupations/statistics & numerical datasuicide/statistics & numerical dataUnited States

Identifiers

PMID32445511
PMCPMC7354205
OpenAlexW3026632978

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.