Evidence map›Paper›PMID 31527354›Full record

ArticleIndustrial health2020

The Modified International Standard Classification of Occupations defined by the clustering of occupational characteristics in the Korean Working Conditions Survey.

Soo Beom Choi, Jin-Ha Yoon, Wanhyung Lee

Abstract read
In one paragraph

Article in Industrial health, 2020. 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

3 authors.

Soo Beom ChoiBiomedical Prediction Technology Laboratory, Korea Institute of Science and Technology Information, Korea.
Jin-Ha YoonDepartment of Preventive Medicine, Yonsei University College of Medicine, Korea.
Wanhyung LeeDepartment of Occupational and Environmental Medicine, Gil Medical Center, Gachon University College of Medicine, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The modified International Standard Classification of Occupations (ISCO) has been used empirically to report or investigate working conditions or worker status. We used principal component analysis and k-means clustering to analyze the working population based on 67 occupational characteristics among 23,060 workers from the fourth Korean Working Conditions Survey in 2014. The three-cluster approach classified workers into major groups 1-4 (managers, professionals, technicians, and clerical support workers), 5-6 (service, sales, agricultural, forestry, and fishery workers), and 7-9 (crafts, trades, machine operators, assemblers, and elementary occupations) based on the ISCO-08. The results of the current study suggest a well-defined clustered occupational classification that can be used to report or investigate workers.

Indexed as

AdolescentAdultAgedAged, 80 and overCluster AnalysisErgonomicsHumansMiddle AgedOccupational ExposureOccupational HealthOccupationsPrincipal Component AnalysisRepublic of KoreaClassificationClustering analysisInternational Standard Classification of OccupationsKoreaKorean Working Conditions SurveyOccupationPrincipal component analysisWorkers

Identifiers

PMID31527354
PMCPMC7118061

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.