Modelling fatigue and the use of fatigue models in work settings

Dawson, Drew; Noy, Y. Ian; Härmä, Mikko; Åkerstedt, Torbjörn; Belenky, Gregory

doi:10.1016/j.aap.2009.12.030

Cited by 178 publications

(125 citation statements)

References 71 publications

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“…It is, however, emphasized that individual and task variables are not included in the current models [118] and the user interphase has limited user-friendliness. The HORIZON project [57] has pointed to ways of mitigating fatigue [119] and developed a software tool for maritime use for fatigue prediction [120].…”

Section: Fatigue Predictionmentioning

confidence: 99%

Seafarer fatigue: a review of risk factors, consequences for seafarers’ health and safety and options for mitigation

Jepsen

Zhao²,

Leeuwen³

2015

International Maritime Health

130

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Section: Fatigue Predictionmentioning

confidence: 99%

Seafarer fatigue: a review of risk factors, consequences for seafarers’ health and safety and options for mitigation

Jepsen

Zhao²,

Leeuwen³

2015

International Maritime Health

130

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“…It results from the interaction between mental and physical factors, which are very difficult to evaluate separately [4], and it is usually associated with boring or repetitive work-related tasks. At the broadest level, occupational fatigue has been linked to an imbalance between the intensity and duration and timing of work with recovery time [5]. Indeed, acute fatigue may occur when there is inadequate time to rest and recover from a work period.…”

Section: Introductionmentioning

confidence: 99%

Portuguese version of the Swedish Occupational Fatigue Inventory (SOFI) among assembly workers: Cultural adaptation, reliability and validity

Baptista

Carvalhais

Ramos

et al. 2017

Int J Occup Med Environ Health

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Objectives: Reliable and valid instruments are essential for understanding fatigue in occupational settings. This study analyzed the psychometric properties of the Portuguese version of the Swedish Occupational Fatigue Inventory (SOFI). Material and Methods: A cross-sectional study was conducted with 218 workers from an automotive industry involved in assembly tasks for fabrication of mechanical cables. Convergent and discriminant validity, internal consistency reliability and confirmatory factor analysis were performed. Results: Results showed adequate fit to data, yielding a 20-item, 5-factor structure (all intercorrelated): Chi 2 /df (ratio Chi 2 and degrees of freedom) = 2.530, confirmatory fit index (CFI) = 0.919, goodness of fit index (GFI) = 0.845, root mean square error of approximation (RMSEA) = 0.084. The SOFI presented an adequate internal consistency, with the sub-scales and total scale presenting good reliability values (Cronbach's α values from 0.742 to 0.903 and 0.943 respectively). Conclusions: Findings suggest that the Portuguese version of the SOFI may be a useful tool to assess fatigue and prevent work-related injuries. In future research, other instruments should be used as an external criterion to correlate with the SOFI dimensions. Int J Occup Med Environ Health 2017;30(3):407-417

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Section: Introductionmentioning

confidence: 99%

“…Given the increased intensity of work environments, fatigue is a common, almost universal, feature of modern life (Dawson, Noy, Harma, Akerstedt, & Belenky, 2011). The term fatigue is used in many different areas and currently there is no single definition; however, the literature distinguishes between acute and chronic fatigue (Dawson et al, 2011). Acute fatigue is short-lived and signals that the individual needs recovery (e.g., the fatigue an individual experiences at the end of their working day); in contrast, chronic fatigue is persistent and develops as a result of consistent exposure to stress without adequate recovery (Winwood et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Exploring the relationship between work-related rumination, sleep quality, and work-related fatigue.

Querstret

Cropley

2012

Journal of Occupational Health Psychology

306

353

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Objective: This study examined the association between three conceptualisations of work-related rumination (affective rumination, problem-solving pondering and detachment) with sleep quality and work-related fatigue. It was hypothesised that affective rumination and poor sleep quality would be associated with increased fatigue; and problem-solving pondering, and detachment would be associated with decreased fatigue. The mediating effect of sleep quality on the relationship between work-related rumination and fatigue was also tested. Method: An on-line questionnaire was completed by a heterogeneous sample of 719 adult workers in diverse occupations. Results: The following variables were entered as predictors in a regression model: affective rumination, problem-solving pondering, detachment, and sleep quality. The dependent variables were chronic work-related fatigue (CF) and acute work-related fatigue (AF). Affective rumination was the strongest predictor of increased CF and AF. Problem-solving pondering was a significant predictor of decreased CF and AF. Poor sleep quality was predictive of increased CF and AF. Detachment was significantly negatively predictive for AF. Sleep quality partially mediated the relationship between affective rumination and fatigue; and between problem-solving pondering and fatigue. Conclusions: Work-related affective rumination appears more detrimental to an individual's ability to recover from work than problem-solving pondering. In the context of identifying mechanisms by which demands at work are translated into ill-health, this appears to be a key finding; and suggests that it is the type of work-related rumination, not rumination per se, that is important.

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Modelling fatigue and the use of fatigue models in work settings

Cited by 178 publications

References 71 publications

Seafarer fatigue: a review of risk factors, consequences for seafarers’ health and safety and options for mitigation

Seafarer fatigue: a review of risk factors, consequences for seafarers’ health and safety and options for mitigation

Portuguese version of the Swedish Occupational Fatigue Inventory (SOFI) among assembly workers: Cultural adaptation, reliability and validity

Exploring the relationship between work-related rumination, sleep quality, and work-related fatigue.

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