Evidence map›Paper›PMID 34412445›Full record

ArticleEpidemiology and health2021

Employment status and mortality among Korean men over a 13-year period.

Dohee Lim, Kyoung Ae Kong, Hyesook Park, Kyunghee Jung-Choi

Abstract read
In one paragraph

Article in Epidemiology and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Dohee LimDepartment of Preventive Medicine, Ewha Womans University College of Medicine, Seoul, Korea.
Kyoung Ae KongDepartment of Preventive Medicine, Ewha Womans University College of Medicine, Seoul, Korea.
Hyesook ParkDepartment of Preventive Medicine, Ewha Womans University College of Medicine, Seoul, Korea.
Kyunghee Jung-ChoiDepartment of Occupational and Environmental Medicine, Ewha Womans University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study explored the effect of employment status on mortality over a 13-year period in Korean men.

methodsData were used from the Korean Labor and Income Panel Study from 1999 to 2012. This study started with 2,737 subjects and included employed men in good health, aged 30-69 years. Deaths were tracked for 13 years from 2000 to 2012. Employment status classifications were: (1) regular employees, (2) precarious employees, (3) petty bourgeoisie, and (4) employers. Hazard ratios (HRs) were calculated using a Cox proportional hazards model, and were adjusted for age, education, income, and occupation, with regular employees as the reference category. To examine the effect of employment status and include employment history, the risk ratios of mortality were measured using the Poisson regression model, considering the duration of each employment and using 0 years as the reference category.

resultsOver the course of the 13-year study, being a precarious employee (HR, 1.84) or petty bourgeoisie (HR, 1.87) at a particular point in time had a negative effect on mortality when compared with regular employees. Furthermore, working as precarious employees or petty bourgeoisie had no positive effect on mortality. A positive effect was observed, however, on the overall mortality risk for regular employees.

conclusionsThese results suggest that a healthy social policy is needed for precarious employees and petty bourgeoisie to avoid disadvantages in the workplace and the social safety net.

Indexed as

Health Status DisparitiesAdultAgedEmploymentHumansMaleMiddle AgedMortalityRepublic of KoreaRisk FactorsEmployment statusMortalityPetty bourgeoisiePrecarious employee

Identifiers

PMID34412445
PMCPMC8510830

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LicenceCC BY
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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.