Fatigue and workability in twelve-hour fixed shifts

To analyze the variables associated with fatigue perception and workability on workers working 12-hour fixed night and day shifts. A cross-sectional study was carried out. Forty-three workers, working 12-hour fixednight and day shifts in a textile factory, filled out questionnaires about fatigue, wo...

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Bibliographic Details
Published in:Revista de saúde pública 2001-12, Vol.35 (6), p.548-553
Main Authors: Metzner, R J, Fischer, F M
Format: Article
Language:Portuguese
Subjects:
Adult
Cross-Sectional Studies
Fatigue
Female
Humans
Life Style
Male
Middle Aged
Personnel Staffing and Scheduling
Regression Analysis
shift work
Surveys and Questionnaires
Time Factors
Work Schedule Tolerance
working conditions
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Summary:To analyze the variables associated with fatigue perception and workability on workers working 12-hour fixed night and day shifts. A cross-sectional study was carried out. Forty-three workers, working 12-hour fixednight and day shifts in a textile factory, filled out questionnaires about fatigue, workability index, individual characteristics, life style and working conditions. A univariate linear regression analysis was performed. Fatigue-related factors are associated to the workers' life style (physical activities is a protection factor), and sleep difficulties, with may increase fatigue perception. Workability-related factors are associated to longevity on job and working night shifts - workability index decreases as job longevity increases. Working night shifts showed a higher workability index. The 12-hour shifts may cause a considerably higher workload, influencing worker's perception of fatigue and workability index and sleep disturbances. The results indicate that night shifts may not always be translated a health problem. However, this was a cross-sectional study with a small population sample and selection bias is not excluded. Since the workability index reduces while job longevity increases, there is a need for further longitudinal studies with larger population samples.
ISSN:0034-8910
DOI:10.1590/s0034-89102001000600008