The Development and Validation of a Checklist for Measuring Subjective Fatigue

Pearson, Roberta; Byars, Jr; George, Edward J.

doi:10.21236/ad0128756

Cited by 63 publications

(7 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fatigue was measured with a scale from the Crew Status Survey (CSS), originally developed by Pearson and Byars (1956), and later modified by the Air Force School of Aerospace Medicine. The CSS was developed for the purpose of assessing dynamic levels of fatigue and workload throughout an operator’s shift (Gawron, 2000).…”

Section: Methodsmentioning

confidence: 99%

An examination of the relationship between workload and fatigue within and across consecutive days of work: Is the relationship static or dynamic?

Grech¹,

Neal²,

Yeo³

et al. 2009

Journal of Occupational Health Psychology

View full text Add to dashboard Cite

Cognitive-energetical theories of information processing were used to generate predictions regarding the relationship between perceived workload and fatigue within and across consecutive days of work. Repeated measures were taken aboard a naval vessel from a sample of 20 Navy patrol vessel crew members during nonroutine and routine patrols. The hypotheses were tested through growth curve modeling. There was a nonmonotonic relationship between workload and fatigue in the routine patrol; moderate workload was associated with the lowest fatigue. The relationship between workload and fatigue changed over consecutive days in the nonroutine patrol. At the beginning of the patrol, low workload was associated with fatigue. At the end of the patrol, high workload was associated with fatigue. These results suggest that the optimal level of workload can change over time and thus have implications for the management of fatigue, particularly where prolonged operations are involved.

show abstract

Section: Methodsmentioning

confidence: 99%

An examination of the relationship between workload and fatigue within and across consecutive days of work: Is the relationship static or dynamic?

Grech¹,

Neal²,

Yeo³

et al. 2009

Journal of Occupational Health Psychology

View full text Add to dashboard Cite

show abstract

“…Forty two healthy students at the University of Michigan (aged [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35], English speaking and with at least one year ofcollege were studied. Candidates were excluded if there was a history of exposure to solvents or if they drank more than 18 g ofalcohol a day (12-4 g is equivalent to 12 ounces of a 3-5% wt/vol beer).…”

Section: Subject Selection and Trainingmentioning

confidence: 99%

Acute neurobehavioural effects of toluene.

Echeverria

Fine

Langolf

et al. 1989

Occupational and Environmental Medicine

View full text Add to dashboard Cite

An acute inhalation chamber study of 42 college students was performed to investigate the relation between exposure to 0, 75, and 150 ppm of toluene and changes in central nervous system function and symptoms. Paid subjects were exposed for seven hours over three days. Verbal and visual short term memory (Steinberg, digit span, Benton, pattern memory); perception (pattern recognition); psychomotor skill (simple reaction time, continuous performance, digit symbol, handeye coordination, finger tapping, and critical tracking); manual dexterity (one hole); mood (profile of mood scales (POMS)); fatigue (fatigue checklist); and verbal ability were evaluated at 0800, 1200, and 1600 hours. Voluntary symptoms and observations of sleep were collected daily. An analysis of variance and test for trend was performed on the difference and score for each concentration reflecting an eight hour workday where each subject was their own control. A 3 x 3 Latin square study design evaluated toluene effects simultaneously, controlling for learning across the three days and the solvent order. Intersubject variation in solvent uptake was monitored in breath and urine. A 5-10% decrement in performance was considered significant ifit was consistent with a linear trend at p < 0 05. Adverse performance at 150 ppm toluene was found at 6-0% for digit span, 12-1% for pattern recognition (latency), 5-0% for pattern memory (number correct), 6-5% for one hole, and 3 0% for critical tracking. The number of headaches and eye irritation also increased in a dose response manner. The greatest effect was found for an increasing number of observations of sleep. Overall, no clear pattern of neurobehavioural effects was found consistent with the type 1 central nervous system as classified by the World Health Organisation. Subtle acute effects, however, were found just below and above the ACGIH TLV of 100 ppm toluene, supporting the position that the guideline be lowered since the biological threshold ofbehavioural effects may be comparable with the TLV.The acute behavioural effects of inhaling toluene after a single exposure are reversible,' but although reversible, they may also be an early sign of central nervous system (CNS) impairment leading to irreversible losses in performance with repeated exposures.23 Acute decrements may be large enough to decrease the safety margin of industrial tasks or to lower productivity. Evidence from solvent studies suggests that symptoms might occur before other measurable acute CNS effects are apparent."The effects of toluene were first studied under controlled eight hour exposures in 1942.4 Mild CNS symptoms and irritation were reported at 200 ppm, fatigue and muscular weakness were noted at 300 ppm, and headache, dizziness, and staggering were incapacitating at 600 ppm. Mild physiological effects have also been reported at 200 ppm.78Later studies emphasised detecting changes in The evidence suggests that inhaling toluene at 100 ppm over seven hours can cause slight impairments in vigilance, manual dexterity...

show abstract

“…To predict subjects' performance and possibly to provide a covariant in the analysis of the between-subjects effects, each subject was administered the Eysenck Personality Inventory Form A (Eysenck and Eysenck, 1968) 716-December, 1985 after every experimental session together with the subjective fatigue scale questionnaire (Pearson and Byars, 1956).…”

Section: Dependent Measuresmentioning

confidence: 99%

Impact of Depth of Menu Hierarchy on Performance Effectiveness in a Supervisory Task: Computerized Flexible Manufacturing System

Seppälä

Salvendy

1985

Hum Factors

View full text Add to dashboard Cite

The purpose of the study was to examine the effect of different menu structures 011 the effectiveness of supervisory control in a flexible manufacturing system. The variables evaluated included four hierarchical levels, two sizes of database, two work methods, and four distances between the items in the data structure. The results indicated that both perfor-/11a/1cetime and errors increased as the hierarchical levels of the data structure increased.This implies that the parallel mode of data presentation is more effective than the hierarchicalone. Furthermore, information that is scattered around the database should be acquired and considered simultaneously, as searching back and forth through the menu hierarchy decreases the speed and accuracy of performance.

show abstract

The Development and Validation of a Checklist for Measuring Subjective Fatigue

Cited by 63 publications

References 12 publications

An examination of the relationship between workload and fatigue within and across consecutive days of work: Is the relationship static or dynamic?

An examination of the relationship between workload and fatigue within and across consecutive days of work: Is the relationship static or dynamic?

Acute neurobehavioural effects of toluene.

Impact of Depth of Menu Hierarchy on Performance Effectiveness in a Supervisory Task: Computerized Flexible Manufacturing System

Contact Info

Product

Resources

About