Evidence map›Paper›PMID 34349050›Full record

ArticleIndustrial health2021

Association of weekly working hours with poor psychological well-being and moderation by employment status in Korean workers.

Jungsun Park, Yangho Kim

Open access · diamondAbstract read
In one paragraph

Article in Industrial health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 1 country.

Jungsun ParkDepartment of Occupational Health, Catholic University of Daegu, South Korea.
Yangho KimDepartment of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, South Korea.
Catholic University of Daegu · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the association of weekly working hours with poor psychological wellbeing in Korean workers and the moderating effect of employment status. This secondary analysis examined data from the fifth Korean Working Conditions Survey (2017). There were 30,108 waged employees and 14,459 self-employed individuals. The two groups were compared using a moderated regression model with Hayes' PROCESS macro for SPSS. The self-employed had a greater mean age than the waged employees. Higher percentages of the self-employed had short weekly working hours (<40), excessively long weekly working hours (≥60), and poor psychological well-being. After controlling for age, gender, education, monthly income, and occupational class, the interaction between weekly working hours and employment status on psychological well-being was significant (p<0.001). Among the self-employed, the well-being score was lowest in the short working hour group (<40 h/week), highest in the long working hour (48-59 h/week) groups, and intermediate in the excessively long working hours (≥60 h/week) group. For waged employees, psychological wellbeing was the greatest in the short working hour group and decreased continuously as the number of weekly working hours increased. In conclusion, employment status (employee vs. self-employed) moderated the relationship between weekly working hours and psychological well-being.

Indexed as

EmploymentIncomeEducational StatusHumansRepublic of KoreaSurveys and QuestionnairesEmploymentModerationSelf-employedWell-beingWorking hour

Identifiers

PMID34349050
PMCPMC8426541
OpenAlexW3187300080

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.