Evidence map›Paper›PMID 26701111›Full record

ArticleBMC public health2015

Working hours and self-rated health over 7 years: gender differences in a Korean longitudinal study.

Seong-Sik Cho, Myung Ki, Keun-Hoe Kim, Young-Su Ju, Domyung Paek, Wonyun Lee

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  5. Association between self-reported sleep duration and cardiometabolic risk in corporate executives.International archives of occupational and environmental health · 2021
    Article
  6. Impact of Long Working Hours and Shift Work on Perceived Unmet Dental Need: A Panel Study.International journal of environmental research and public health · 2021
    Article
  7. Association between Working Hours and Self-Rated Health.International journal of environmental research and public health · 2020
    Article
  8. Article
  9. Article
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  12. The Change of Self-Rated Health According to Working Hours for Two Years by Gender.International journal of environmental research and public health · 2018
    Article
  13. 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

6 authors at 4 institutions in 1 country.

Seong-Sik ChoDepartment of Occupational and Environmental Health, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea. 0361pt@hanmail.net.
Myung KiDepartment of Preventive Medicine, School of Medicine, Eulji University, 143-5, Yongdu-dong, Jung-gu, Daejeon, South Korea. myungki@eulji.ac.kr.
Keun-Hoe KimDepartment of Occupational and Environmental Medicine, Cheongju Medical Center, 48 Heungdeok-ro, Seowon-gu, Cheongju city, Chungbuk, South Korea. ottogee@hanmail.net.
Young-Su JuDepartment of Occupational and Environmental Medicine, Hallym University Sacred Heart Hospital, 22 Gwanpyeong-ro 170 beon-gil, Dongan-gu, Anyang, Kyeonggi, South Korea. zorro@hallym.ac.kr.
Domyung PaekDepartment of Occupational and Environmental Health, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea. paekdm@snu.ac.kr.
Wonyun LeeDepartment of Preventive Medicine, School of Medicine, Eulji University, 143-5, Yongdu-dong, Jung-gu, Daejeon, South Korea. lwydnjd@gmail.com.
Eulji University · KRSeoul National University · KRCheongju University · KRHallym University Sacred Heart Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the association between long working hours and self-rated health (SRH), examining the roles of potential confounding and mediating factors, such as job characteristics.

methodsData were pooled from seven waves (2005-2011) of the Korean Labour and Income Panel Study. A total of 1578 workers who consecutively participated in all seven study years were available for analysis. A generalized estimating equation for repeated measures with binary outcome was used to examine the association between working hours (five categories; 20-35, 36-40, 41-52, 53-68 and ≥ 69 h) and SRH (two categories; poor and good health), considering possible confounders and serial correlation.

resultsAssociations between working hours and SRH were observed among women, but only for the category of the shortest working hours among men. The associations with the category of shortest working hours among men and women disappeared after adjustment for socioeconomic factors. Among women, though not men, working longer than standard hours (36-40 h) showed a linear association with poor health; OR = 1.41 (95% CI = 1.08-1.84) for 52-68 working hours and OR = 2.11 (95% CI = 1.42-3.12) for ≥ 69 working hours. This association persisted after serial adjustments. However, it was substantially attenuated with the addition of socioeconomic factors (e.g., OR = 1.66 (95% CI = 1.07-2.57)) but only slightly attenuated with further adjustment for behavioural factors (e.g., OR = 1.63 (95% CI = 1.05-2.53)). The associations with job satisfaction were significant for men and women.

conclusionsThe worsening of SRH with increasing working hours only among women suggests that female workers are more vulnerable to long working hours because of family responsibilities in addition to their workload.

Indexed as

Health StatusJob SatisfactionAdultAgedEmploymentFemaleHumansLongitudinal StudiesMaleMiddle AgedOccupationsSelf ConceptSocioeconomic FactorsWorkloadWorkplaceWork Schedule Tolerance

Identifiers

PMID26701111
PMCPMC4690406
OpenAlexW2205953086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.