Evidence map›Paper›PMID 34382284›Full record

ArticleJournal of occupational health2021

A longitudinal study of working hours and chronic kidney disease in healthy workers: The Kangbuk Samsung Health Study.

Yesung Lee, Eunhye Seo, Eunchan Mun, Woncheol Lee

Abstract read
In one paragraph

Article in Journal of occupational health, 2021. 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
–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

15 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

4 authors.

Yesung LeeDepartment of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0002-8844-492X
Eunhye SeoDepartment of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0003-0790-6385
Eunchan MunDepartment of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0002-2808-0423
Woncheol LeeDepartment of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0001-8535-3988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLong working hours are linked to an increased risk of exposure to work safety hazards that threaten the health of workers. To date, only a few cross-sectional studies regarding the relationship between working characteristics, such as over-workload and chronic kidney disease (CKD) have been reported. Therefore, in this longitudinal study, we aimed to examine the direct relationship between long working hours and the incidence of CKD.

methodsWe included 97 856 participants without CKD in the Kangbuk Samsung Health Study. Using a self-report questionnaire, we evaluated weekly working hours, which were categorized into 35-40, 41-52, and >52 hours. CKD was defined as estimated glomerular filtration rate <60 mL/min/1.73 m

resultsDuring a median follow-up of 4.0 years, 185 participants developed incident CKD (incidence density, 4.83 per 10

conclusionsOur large-scale cohort study of young- to middle-aged men and women demonstrated a significant association between long working hours and an increased risk of incident CKD.

Indexed as

Occupational HealthWork Schedule ToleranceAdultCohort StudiesEmploymentFemaleGlomerular Filtration RateHumansIncidenceLongitudinal StudiesMaleMiddle AgedRenal Insufficiency, ChronicRepublic of KoreaRisk FactorsSurveys and Questionnaireschronic kidney diseaseglomerular filtration ratelongitudinal studylong working hoursoverwork

Identifiers

PMID34382284
PMCPMC8357818

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.