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Exploratory Analysis of Related Factors with Absenteeism and Presenteeism on Workers: Using the Fourth Korea Working Condition Survey

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  • Young-Hyeon Bae

    (Korea National Rehabilitation Center, Department of Healthcare and Public Health, National Rehabilitation Research Institute, Seoul 01022, Korea)

Abstract

Purpose: This study aimed to identify the factors related to absenteeism and presenteeism in workers and to provide basic evidence to help improve their quality of life and work productivity. Methods: Data from the Fourth Korea working condition survey were analyzed. A stepwise regression model was developed to identify the related factors for exploratory analysis. Results: Absenteeism and subjective risk perception related to work and health conditions were the strongest predictive factors, followed by presenteeism. Fatigue was the strongest predictive factor for presenteeism, followed by a high temperature at the workplace, lower back pain, and other health conditions, in that order. Conclusion: The quality of life and the productivity of workers could be improved by focusing on the factors affecting absenteeism and presenteeism, such as the working environment and health status.

Suggested Citation

  • Young-Hyeon Bae, 2021. "Exploratory Analysis of Related Factors with Absenteeism and Presenteeism on Workers: Using the Fourth Korea Working Condition Survey," IJERPH, MDPI, vol. 18(21), pages 1-9, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11214-:d:664618
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    References listed on IDEAS

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    1. Skagen, Kristian & Collins, Alison M., 2016. "The consequences of sickness presenteeism on health and wellbeing over time: A systematic review," Social Science & Medicine, Elsevier, vol. 161(C), pages 169-177.
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    2. Constanța Rînjea & Oana Roxana Chivu & Doru-Costin Darabont & Anamaria Ioana Feier & Claudia Borda & Marilena Gheorghe & Dan Florin Nitoi, 2022. "Influence of the Thermal Environment on Occupational Health and Safety in Automotive Industry: A Case Study," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
    3. Pietro Ferrara & Luciana Albano, 2022. "Advances in Population-Based Healthcare Research: From Measures to Evidence," IJERPH, MDPI, vol. 19(20), pages 1-4, October.

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