CHALDER FATIGUE SCALE PDF
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 – MEpedia
Using the Likert scoring method, responses on the extreme left receive a score of 0, increasing to 1, vatigue or 3 as they become more symptomatic. Cella M, Chalder T. Email alerts New issue alert. Practical Assessment, Research and Evaluation. Afari N, Buchwald D. First, most of these studies adopted the outdated principal component analysis and varimax rotation approaches.
The need for a reliable self-completion tool that can measure this subjective condition, either in extreme ftaigue cases or in routine day-to-day functioning, has never been greater [ 3 ]. From an analytical perspective, the significant and substantial interfactor correlations we found support the use of oblique geomin rotation rather than orthogonal varimax rotation to avoid distortion of the factor structure.
Cutoff criteria for fit indexes in covariance structure analysis: Overall, the respondents displayed moderate levels of fatigue, with item means ranging from. ChanRainbow T. Support Center Support Center. The last author S. Construct validity of the Chinese version of the Chalder Fatigue Scale in a Chinese community sample.
Exhaustion was assessed using vatigue 5-item subscale of the item Chinese Maslach Burnout Inventory [ 22 ]. The CFS was originally perceived as comprising two subscales that evaluate fatigue in the physical and mental domains. Factor structure of the Chinese version of the Pittsburgh Sleep Quality Index in breast cancer patients.
References Publications referenced by sale paper. Fong Sleep medicine The participants provided informed consent and completed a self-report online questionnaire on fatigue and health measures. Satisfactory reliability and moderate to strong correlations were found chlder the CFS factors, suggesting adequate discriminant validity. The ESEM model has been shown to provide a better model fit and unbiased interfactor correlations [ 1718 ].
The relationship between chronic fatigue and somatization syndrome: Stress Fractures Search for additional papers on this topic.
Exploring the validity of the Chalder Fatigue scale in chronic fatigue syndrome.
The results support the validity of mental and physical fatigue subscales and the dropping of the “loss of interest” item in the item version of the fatigue scale. Exploratory structural equation modeling ESEM is a newly proposed analytic methodology with substantial modeling flexibility [ 1516 ]. Topics Discussed in This Paper. For all items, the least symptomatic answers are on the left of the response-set, providing an easy-to-understand checklist for respondents.
Higher levels of fatigue were linked to greater psychological and physical distress and a poorer quality of life. Fatigue was assessed using the Chinese version of the CFS [ 13 ].
An overview of analytic rotation in exploratory factor analysis. Problems with tiredness 2. Published online Feb Higher scores denote worse mental health and greater sleep disturbance.
ChanCecilia L. The item Chalder Fatigue Scale CFS [ 45 ] was developed as an assessment tool for fatigue in both general and clinical populations [ 67 ]. Booth T, Hughes DJ. Exploratory structural equation modeling. Cancer-related fatigue in breast cancer patients: More on this topic The psychological and physiological health effects of fatigue.
The majority of participants was married Sleep disturbance was measured using the item Chinese Pittsburgh Sleep Quality Index [ 21 ], which assesses seven components on a 4-point scale. The global score also spans two dimensions—physical fatigue measured by items 1—7 and psychological fatigue measured by items 8— Exploratory factor analysis estimates the cross-loadings and results in more realistic factor structure.
An integration of the best features of exploratory and confirmatory factor analysis.