The Chalder fatigue scale is widely used to measure physical and mental fatigue in chronic fatigue syndrome patients, but the constructs of the scale have not. Previous validation studies of the Chalder Fatigue Scale (CFS) suffer methodological shortcomings. The present study aimed to re-evaluate its. PDF | On Jan 4, , Craig Andrew Jackson and others published The Chalder Fatigue Scale (CFQ 11).

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chalder fatigue scale

Exhaustion was assessed using the 5-item subscale of the item Chinese Maslach Burnout Inventory [ 22 ]. Exploratory structural equation modeling. Exploratory structural equation modeling ESEM is a newly proposed analytic methodology with substantial modeling flexibility [ 1516 ].

The correlations among the ESEM factors ranged from. Support Center Support Center. ZieaVivian C. Satisfactory reliability and moderate to strong correlations were found among the CFS factors, suggesting adequate discriminant validity.

Factor 3 was inversely correlated with grip strength, peak VO2, peak heart rate, and peak functional work capacity. Factor 1 was correlated with subjective everyday cognitive difficulties, concentration difficulties, and a deficit in paired associate learning.

Quality of Life Research. For all items, the least symptomatic answers are on the left of the response-set, providing an easy-to-understand checklist for respondents. Future psychometric studies could adopt the ESEM approach as a practical alternative to traditional confirmatory factor analysis.

The participants provided informed consent and completed a self-report online questionnaire on fatigue and health measures.


Chalder Fatigue Scale (CFQ 11) | Occupational Medicine | Oxford Academic

The ESEM solutions resulted in reduced interfactor correlations, suggesting that ESEM factors are more distinct and less susceptible to multicollinearity problems. The Fatigue Scale, sometimes referred to as the Chalder Fatigue Scale the CFQ—to differentiate it from chronic fatigue syndrome or CFSis a self-administered questionnaire for measuring the extent and severity of fatigue within both clinical and non-clinical, epidemiological populations.

For the four-factor ESEM model, the fourth factor had only one practically significant loading on the items, thus exhibiting little incremental value over the three-factor model. In contrast to the original two-factor structure [ 4 ], our results support a three-factor structure consisting of physical fatigue, low energy, and mental fatigue.

Cancer-related fatigue in breast cancer patients: Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author s and the source are credited.

Model fit was evaluated via the criteria of the following goodness-of-fit indices [ 27 ]: A more flexible representation of substantive theory.

The NEO personality inventory-revised: A prospective primary care study. Higher scores denote worse mental health and greater sleep disturbance. An overview of analytic rotation in exploratory factor analysis. Construct validity of scal Chinese version of the Chalder Fatigue Scale in a Chinese community sample.

Chalder fatigue scale – MEpedia

Using the Likert scoring method, responses on the extreme left receive a score of 0, increasing to 1, 2 or 3 as they become more symptomatic.

Factor analyses of the Hospital Anxiety and Depression Scale: Please review our privacy policy. The results support the validity of mental and physical fatigue subscales and the dropping of the “loss of interest” item fafigue the item version of the fatigue scale.


Cutoff criteria for fit indexes in covariance structure analysis: Tiredness and fatigue are important in both academic and applied occupational medicine—and the understanding of the link between them and employee health, performance, safety and general workability continues to grow.

Regarding the ESEM models, the two-factor model provided a mediocre fit to the data. Exploratory factor analysis estimates the cross-loadings and results in more realistic factor structure. Questionnaire Reviews All Journals search fatigud. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide.

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Consistent with the findings of recent studies [ 1730 ], we found the ESEM models to provide a better fit to the data than traditional CFA models. Another advantage is that the CFQ 11 is used widely in occupational fatogue and allows for straightforward comparisons between studies and populations. Assessment of fatigue among working people: Conflict of interest The authors have no competing interests to report.

Cella M, Chalder T.