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Causes and Consequences of Occupational Fatigue: Meta-Analysis and Systems Model
Ulises Techera1, Matthew Hallowell, Nathan Stambaugh
1Department of Civil, Environmental, and Architectural Engineering, University of Colorado at Boulder (Drs Techara, Hallowell, Stambaugh); and Lockheed Martin Engineering Management Program, UCB 428, Boulder, CO (Dr Littlejohn).
Objective:
The study objective was to statistically codify empirical occupational fatigue literature into a systems model depicting causal factors of fatigue; interrelationships among causal factors; outcomes of fatigue; and interrelationships among outcomes.
Methods:
The objective was achieved via a comprehensive and systematic review of existing literature and the first statistical meta-analysis of occupational fatigue.
Results:
The drivers of fatigue with the greatest effect sizes include sleep deprivation and work environment factors such as noise, vibration, and temperature. The most significant outcomes of fatigue include short-term cognitive and physical degradation and, to a lesser extent, error, injury, and illness.
Conclusions:
Although there is a great deal of occupational fatigue literature, there is a dearth of replication and validations studies. Researchers are also encouraged to address knowledge gaps like the relationship between worker relationships and fatigue.
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