Evidence map›Paper›PMID 39035809›Full record

ArticleSafety and health at work2024

Comparison of the Association Between Presenteeism and Absenteeism among Replacement Workers and Paid Workers: Cross-sectional Studies and Machine Learning Techniques.

Heejoo Park, Juho Sim, Juyeon Oh, Jongmin Lee, Chorom Lee, Yangwook Kim, Byungyoon Yun, Jin-Ha Yoon

Abstract read
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Article in Safety and health at work, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Heejoo ParkDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Juho SimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Juyeon OhDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Jongmin LeeDepartment of Occupational Health, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.
Chorom LeeDepartment of Occupational Health, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.
Yangwook KimDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Byungyoon YunDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jin-Ha YoonDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Replacement drivers represent a significant portion of platform labor in the Republic of Korea, often facing night shifts and the demands of emotional labor. Research on replacement drivers is limited due to their widespread nature. This study examined the levels of presenteeism and absenteeism among replacement drivers in comparison to those of paid male workers in the Republic of Korea. Methods: This study collected data for replacement drivers and used data from the 6th Korean Working Conditions Survey for paid male workers over the age of 20 years. Propensity score matching was performed to balance the differences between paid workers and replacement drivers. Multivariable logistic regression was used to estimate the adjusted odds ratio (OR) and 95% confidence intervals for presenteeism and absenteeism by replacement drivers. Stratified analysis was conducted for age groups, educational levels, income levels, and working hours. The analysis was adjusted for variables including age, education, income, working hours, working days per week, and working duration. Results: Among the 1,417 participants, the prevalence of presenteeism and absenteeism among replacement drivers was 53.6% ( Conclusion: The results demonstrated that replacement drivers were more significantly associated with presenteeism and absenteeism than paid workers. Further studies are necessary to establish a strategy to decrease the risk factors among replacement drivers.

Indexed as

AbsenteeismMalePresenteeismReplacement driverReplacement worker

Identifiers

PMID39035809
PMCPMC11255932

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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.