ArticleSafety and health at work2016
Relation between Multiple Markers of Work-Related Fatigue.
Article in Safety and health at work, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Unraveling the interplay between mental workload, occupational fatigue, physiological responses and cognitive performance in office workers.Scientific reports · 2024Article
- Developing a clinical-pathological framework of long COVID-related fatigue applied to public safety workers.Frontiers in medicine · 2024Review
- Probing sustained attention and fatigue across the lifespan.PloS one · 2024Article
- Long working hours, poor sleep quality, and work-family conflict: determinant factors of fatigue among Indonesian tugboat crewmembers.BMC public health · 2021Article
- Dissecting the fatigue experience: A scoping review of fatigue definitions, dimensions, and measures in non-oncologic medical conditions.Brain, behavior, & immunity - health · 2021Article
- The association between heart rate variability, reaction time, and indicators of workplace fatigue in wildland firefighters.International archives of occupational and environmental health · 2021Article
- Association Between Fatigue and Motor Exertion in Patients With Multiple Sclerosis-a Prospective Study.Frontiers in neurology · 2020Article
- Exploring a 1-Minute Paced Deep-Breathing Measurement of Heart Rate Variability as Part of a Workers' Health Assessment.Applied psychophysiology and biofeedback · 2019Article
- Fatigue Analysis to Evaluate Workloads in Production Area at Crumb Rubber Factories of Padang city, West Sumatra Indonesia.Indian journal of occupational and environmental medicineArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWork-related fatigue has a strong impact on performance and safety but so far, no agreed upon method exists to detect and quantify it. It has been suggested that work-related fatigue cannot be quantified with just one test alone, possibly because fatigue is not a uniform construct. The purpose of this study is therefore to measure work-related fatigue with multiple tests and then to determine the underlying factorial structure.
methodsTwenty-eight employees (mean: 36.11; standard deviation 13.17) participated in five common fatigue tests, namely, posturography, heart rate variability, distributed attention, simple reaction time, and subjective fatigue before and after work. To evaluate changes from morning to afternoon, t tests were conducted. For further data analysis, the differences between afternoon and morning scores for each outcome measure and participant (Δ scores) were submitted to factor analysis with varimax rotation and each factor with the highest-loading outcome measure was selected. The Δ scores from tests with single and multiple outcome measures were submitted for a further factor analysis with varimax rotation.
resultsThe statistical analysis of the multiple tests determine a factorial structure with three factors: The first factor is best represented by center of pressure (COP) path length, COP confidence area, and simple reaction time. The second factor is associated with root mean square of successive difference and useful field of view (UFOV). The third factor is represented by the single Δ score of subjective fatigue.
conclusionWork-related fatigue is a multidimensional phenomenon that should be assessed by multiple tests. Based on data structure and practicability, we recommend carrying out further studies to assess work-related fatigue with manual reaction time and UFOV Subtest 2.
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