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Research Article

Exploring Mental Fatigue and Burnout in the Workplace: A Survival Analysis Approach

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  • @ARTICLE{10.4108/eetpht.10.5719,
        author={R Eswar Reddy and Santhi K},
        title={Exploring Mental Fatigue and Burnout in the Workplace: A Survival Analysis Approach},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={PHAT},
        year={2024},
        month={4},
        keywords={Mental fatigue, Kaplan Meier, Nelson-Aalen, fatigue, Cox proportional-hazards, survival curve, burnout},
        doi={10.4108/eetpht.10.5719}
    }
    
  • R Eswar Reddy
    Santhi K
    Year: 2024
    Exploring Mental Fatigue and Burnout in the Workplace: A Survival Analysis Approach
    PHAT
    EAI
    DOI: 10.4108/eetpht.10.5719
R Eswar Reddy1, Santhi K1,*
  • 1: Vellore Institute of Technology University
*Contact email: santhikrishnan@vit.ac.in

Abstract

INTRODUCTION: Employee burnout is a prevalent concern in contemporary workplaces, adversely impacting both individual well-being and organizational productivity. OBJECTIVES:  In this paper, we conducted a comprehensive analysis of a dataset focusing on mental fatigue and burnout among employees, employing various survival analysis techniques including Kaplan Meier, Nelson-Aalen, and Cox proportional-hazards models, as well as Frailty Models and Competing Risks Analysis. METHODS:  This research underscored significant associations between mental fatigue, burnout, and adverse outcomes, emphasizing the critical need for early identification and intervention. Kaplan Meier analysis revealed differences in survival probabilities, while Nelson-Aalen analysis depicted cumulative hazard functions over time. Cox proportional-hazards models identified mental fatigue and burnout as significant predictors of adverse events, supported by Frailty Models accounting for individual-level variability. Additionally, Competing Risks Analysis elucidated the simultaneous occurrence of multiple adverse events among employees experiencing burnout. RESULTS: This research underscored significant associations between mental fatigue, burnout, and adverse outcomes, emphasizing the critical need for early identification and intervention. Kaplan Meier analysis revealed differences in survival probabilities, while Nelson-Aalen analysis depicted cumulative hazard functions over time. Cox proportional-hazards models identified mental fatigue and burnout as significant predictors of adverse events, supported by Frailty Models accounting for individual-level variability. Additionally, Competing Risks Analysis elucidated the simultaneous occurrence of multiple adverse events among employees experiencing burnout. CONCLUSION: This study contributes valuable insights into understanding and addressing mental fatigue in the workplace, highlighting the importance of evidence-based interventions to support employee well-being and organizational resilience. The insights gained from this analysis inform evidence-based strategies for mitigating burnout-related risks and promoting a healthier work environment.

Keywords
Mental fatigue, Kaplan Meier, Nelson-Aalen, fatigue, Cox proportional-hazards, survival curve, burnout
Received
2024-01-05
Accepted
2024-04-03
Published
2024-04-10
Publisher
EAI
http://dx.doi.org/10.4108/eetpht.10.5719

Copyright © 2024 R. Eswar Reddy et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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