A quantitative model of work-related fatigue: background and definition

被引:1
|
作者
Dawson, D [1 ]
Fletcher, A [1 ]
机构
[1] Univ S Australia, Queen Elizabeth Hosp, Ctr Sleep Res, Woodville, SA 5011, Australia
关键词
fatigue; mathematical modelling; shiftwork; sleep-wake cycle;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Fatigue has been identified as a major risk factor for shiftworkers. However, few organizations or governments currently manage work-related fatigue in any systematic or quantitative manner. This paper outlines an approach to managing fatigue that could improve shiftwork management. Using shift start and finish times as an input, the outlined model quantifies work-related fatigue on the basis of its known determinants; that is shift timing and duration, work history and the biological limits on sleep length at specific times of day. Evaluations suggest that work-related fatigue scores correlate very highly with sleep-onset latency, neurobehavioural impairment and subjective sleepiness. The model is useful in that it allows comparisons to be made between rosters independent of shift length and timing or the total number of work hours. Furthermore, unlike many models of sleepiness and fatigue, individual's sleep times are not required as hours of work are used as the input. It is believed the model provides the potential quantitatively to link the effects of shiftwork to specific organizational health and safety outcomes. This simple approach may be especially critical at a time when many organizations view longer and more flexible hours from their employees as an immediate productivity gain.
引用
收藏
页码:144 / 163
页数:20
相关论文
共 50 条
  • [1] A quantitative model of work-related fatigue: empirical evaluations
    Fletcher, A
    Dawson, D
    [J]. ERGONOMICS, 2001, 44 (05) : 475 - 488
  • [2] A work-related fatigue model based on hours-of-work
    Fletcher, A
    Dawson, D
    [J]. MANAGING FATIGUE IN TRANSPORTATION, 1998, : 189 - 208
  • [3] Commentary on a model to predict work-related fatigue based on hours of work
    Maislin, G
    [J]. AVIATION SPACE AND ENVIRONMENTAL MEDICINE, 2004, 75 (03): : A70 - A71
  • [4] Response to commentaries on a model to predict work-related fatigue based on hours of work
    Roach, GD
    Fletcher, A
    Dawson, D
    [J]. AVIATION SPACE AND ENVIRONMENTAL MEDICINE, 2004, 75 (03): : A74 - A74
  • [5] Exercise as a remedy for work-related fatigue
    de Vries, Juriena
    [J]. GEDRAG & ORGANISATIE, 2019, 32 (04): : 299 - 326
  • [6] Ergonomics, productivity and work-related fatigue
    Loriol, Marc
    Boussard, Valerie
    Caroly, Sandrine
    [J]. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES, 2006, (165) : 106 - +
  • [7] Measurement and prediction of work-related fatigue
    Thomson, M
    Lobb, B
    [J]. AUSTRALIAN JOURNAL OF PSYCHOLOGY, 2005, 57 : 149 - 150
  • [8] Exploring the Relationship Between Work-Related Rumination, Sleep Quality, and Work-Related Fatigue
    Querstret, Dawn
    Cropley, Mark
    [J]. JOURNAL OF OCCUPATIONAL HEALTH PSYCHOLOGY, 2012, 17 (03) : 341 - 353
  • [9] Laboratory-based validations of a work-related fatigue model based on hours of work
    Fletcher, A
    Roach, G
    Lamond, N
    Dawson, D
    [J]. SHIFTWORK IN THE 21ST CENTURY: CHALLENGES FOR RESEARCH AND PRACTICE, 2000, 17 : 93 - 98
  • [10] Driving and studying - the impact of work-related fatigue
    McCrossan, R.
    Holland, J.
    McClelland, L.
    Redfern, N.
    Plunkett, E.
    [J]. ANAESTHESIA, 2017, 72 : 12 - 12