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Cited by 241Stress and Burnout ResearchOccupational Health and BurnoutWorkplace Health and Well-being

Burnout as a predictor of all-cause mortality among industrial employees: A 10-year prospective register-linkage study

Ahola, Kirsi, Väänänen, Ari, Koskinen, Aki, Kouvonen, Anne, Shirom, Arie·2010·Journal of Psychosomatic Research
DOI 10.1016/j.jpsychores.2010.01.002
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Abstract

Objective Burnout, a psychological consequence of prolonged work stress, has been shown to coexist with physical and mental disorders. The aim of this study was to investigate whether burnout is related to all-cause mortality among employees.Methods In 1996, of 15,466 Finnish forest industry employees, 9705 participated in the 'Still Working' study and 8371 were subsequently identified from the National Population Register. Those who had been treated in a hospital for the most common causes of death prior to the assessment of burnout were excluded on the basis of the Hospital Discharge Register, resulting in a final study population of 7396 people. Burnout was measured using the Maslach Burnout Inventory-General Survey. Dates of death from 1996 to 2006 were extracted from the National Mortality Register. Mortality was predicted with Cox hazard regression models, controlling for baseline sociodemographic factors and register-based health status according to entitled medical reimbursement and prescribed medication for mental health problems, cardiac risk factors, and pain problems.Results During the 10-year 10-month follow-up, a total of 199 employees had died. The risk of mortality per one-unit increase in burnout was 35% higher (95% CI 1.07-1.71) for total score and 26% higher (0.99-1.60) for exhaustion, 29% higher for cynicism (1.03-1.62), and 22% higher for diminished professional efficacy (0.96-1.55) in participants who had been under 45 at baseline. After adjustments, only the associations regarding burnout and exhaustion were statistically significant. Burnout was not related to mortality among the older employees.Conclusion Burnout, especially work-related exhaustion, may be a risk for overall survival.

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  • Burnout in HCPs is associated with cognitive dysfunction, poor physical and mental health outcomes, and the use of more sick days.

    “Extensive research shows that burnout is related to cognitive dysfunction,2 poor physical and mental health outcomes,3–6 and the use of more sick days.7”

    From Being Mindful: A Long-term Investigation of an Interdisciplinary Course in Mindfulness (2019) · cites this paper as [5]

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Authors
Ahola, K., Väänänen, A., Koskinen, A., Kouvonen, A., & Shirom, A.
Affiliations
  • Finnish Institute of Occupational Health (FI)
  • University of Nottingham (GB)
  • Tel Aviv University (IL)
Corresponding author
Ahola, Kirsi
ORCID
Venue
Journal of Psychosomatic Research
Publisher
Elsevier BV
Published
2010-07
Volume
69
Issue
1
Pages
51-57
ISSN
0022-3999 (ISSN-L)
DOI
10.1016/j.jpsychores.2010.01.002
OpenAlex
W2068850130
Cited by
241
References
69
Citations by year
2026: 7 · 2025: 15 · 2024: 12 · 2023: 23 · 2022: 24 · 2021: 23 · 2020: 23 · 2019: 17 · 2018: 19 · 2017: 20 · 2016: 6 · 2015: 12 · 2014: 15 · 2013: 6 · 2012: 14
FWCI
11.31
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Journal of Psychosomatic Research (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (Queen's University Belfast) (submittedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
  • Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Burnout
  • Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
Keywords
burnout, all-cause mortality, occupational stress, work exhaustion, cynicism, professional efficacy, industrial workers, occupational health
MeSH terms
Adolescent, Adult, Age Factors, Aged, Burnout, Professional, Cause of Death, Fatigue, Female, Finland, Follow-Up Studies, Health Status Indicators, Health Surveys, Humans, Male, Middle Aged, Motivation, Prospective Studies, Registries, Risk, Cohort Studies, Proportional Hazards Models, Survival Analysis, Forestry, Young Adult

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