» Articles » PMID: 26840323

Fatigue in Emergency Services Operations: Assessment of the Optimal Objective and Subjective Measures Using a Simulated Wildfire Deployment

Overview
Publisher MDPI
Date 2016 Feb 4
PMID 26840323
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Under controlled laboratory conditions, neurobehavioral assays such as the Psychomotor Vigilance Task (PVT) are sensitive to increasing levels of fatigue, and in general, tend to correlate with subjective ratings. However, laboratory studies specifically curtail physical activity, potentially limiting the applicability of such findings to field settings that involve physical work. In addition, laboratory studies typically involve healthy young male participants that are not always representative of a typical working population. In order to determine whether these findings extend to field-like conditions, we put 88 Australian volunteer firefighters through a multi-day firefighting simulation. Participants were required to perform real-world physical and cognitive tasks under conditions of elevated temperature and moderate sleep restriction. We aimed to examine changes in fatigue in an effort to determine the optimum objective and subjective measures. Objective and subjective tests were sensitive to fatigue outside laboratory conditions. The PVT was the most sensitive assay of objective fatigue, with the Samn-Perelli fatigue scale the most sensitive of the subjective measures. The Samn-Perilli fatigue scale correlated best with PVT performance, but explained a small amount of variance. Although the Samn-Perelli scale can be easily administered in the field, the wide range of individual variance limits its efficacy as a once-off assessment tool. Rather, fatigue measures should be applied as a component of a broader fatigue risk management system. Findings provide firefighting agencies, and other occupations involving physical work, guidance as to the most sensitive and specific measures for assessing fatigue in their personnel.

Citing Articles

Occupation-Induced Fatigue and Impacts on Emergency First Responders: A Systematic Review.

Marvin G, Schram B, Orr R, Canetti E Int J Environ Res Public Health. 2023; 20(22).

PMID: 37998287 PMC: 10671419. DOI: 10.3390/ijerph20227055.


Prevalence and correlates of burnout among physicians in a developing country facing multi-layered crises: a cross-sectional study.

Youssef D, Youssef J, Abou-Abbas L, Kawtharani M, Hassan H Sci Rep. 2022; 12(1):12615.

PMID: 35871153 PMC: 9308770. DOI: 10.1038/s41598-022-16095-5.


Working hours, sleep, and fatigue in the public safety sector: A scoping review of the research.

Allison P, Tiesman H, Wong I, Bernzweig D, James L, James S Am J Ind Med. 2022; 65(11):878-897.

PMID: 35711032 PMC: 9851314. DOI: 10.1002/ajim.23407.


Trait Interindividual Differences in the Magnitude of Subjective Sleepiness from Sleep Inertia.

Lundholm K, Honn K, Skeiky L, Muck R, Van Dongen H Clocks Sleep. 2021; 3(2):298-311.

PMID: 34204864 PMC: 8293243. DOI: 10.3390/clockssleep3020019.


Hot, Tired and Hungry: The Snacking Behaviour and Food Cravings of Firefighters During Multi-Day Simulated Wildfire Suppression.

Gupta C, Ferguson S, Aisbett B, Dominiak M, Chappel S, Sprajcer M Nutrients. 2020; 12(4).

PMID: 32326354 PMC: 7230571. DOI: 10.3390/nu12041160.


References
1.
Dorrian J, Lamond N, Dawson D . The ability to self-monitor performance when fatigued. J Sleep Res. 2000; 9(2):137-44. DOI: 10.1046/j.1365-2869.2000.00195.x. View

2.
Harrison Y, Horne J . The impact of sleep deprivation on decision making: a review. J Exp Psychol Appl. 2000; 6(3):236-49. DOI: 10.1037//1076-898x.6.3.236. View

3.
Belenky G, Wesensten N, Thorne D, Thomas M, Sing H, Redmond D . Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose-response study. J Sleep Res. 2003; 12(1):1-12. DOI: 10.1046/j.1365-2869.2003.00337.x. View

4.
Van Dongen H, Baynard M, Maislin G, Dinges D . Systematic interindividual differences in neurobehavioral impairment from sleep loss: evidence of trait-like differential vulnerability. Sleep. 2004; 27(3):423-33. View

5.
Wewers M, Lowe N . A critical review of visual analogue scales in the measurement of clinical phenomena. Res Nurs Health. 1990; 13(4):227-36. DOI: 10.1002/nur.4770130405. View