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Commentary on prediction of work-related fatigue based solely on hours of work.

Authors
Rosa-RR
Source
Aviat Space Environ Med 2004 Mar; 75(Suppl 1):A72-A73
NIOSHTIC No.
20025658
Abstract
The subject of this commentary, the Fatigue Audit InterDyne (FAID) predictive model, is designed for use in operational settings to provide quantitative estimates of fatigue based on an individual's work schedule. The model is straightforward and simple to implement as it is based on two inputs to estimate fatigue-duration of work (e.g., hours on shift) and time of day. From these inputs, a fatigue score for a given time in a schedule is calculated in arbitrary units and assigned a degree of severity (e.g., low, medium, high) relative to the benchmark schedule of 40 daytime hours per week (the modal work schedule in industrialized countries). This information can then be used to estimate the relative fatigue risk of a work schedule so that new schedules can be designed, or so that fatigue-sensitive work tasks can be timed to avoid the hours of high fatigue. Perhaps the greatest strength of the model is its simplicity and the minimal amount of readily available data input needed for the fatigue estimates. The required input data often can be obtained from records kept by the worker or the organization. To maintain this simplicity, and thus accessibility by non-technical users, detailed information about actual work/ rest patterns or work demands and workload are not obtained and the model is not adjusted for these variables.
Keywords
Quantitative-analysis; Models; Computer-models; Fatigue; Work-intervals; Circadian-rhythms; Shift-work; Shift-workers
Contact
Roger R. Rosa, Ph.D., National Institute for Occupational Safety & Health, Office of the Director, Room 715H, Hubert H. Humphrey Building, 200 Independence Ave., SW, Washington DC 20201
CODEN
ASEMCG
Publication Date
20040301
Document Type
Journal Article
Email Address
RRosa@cdc.gov
Fiscal Year
2004
NTIS Accession No.
NTIS Price
ISSN
0095-6562
NIOSH Division
OD
Source Name
Aviation, Space, and Environmental Medicine
State
DC
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