Validation of the Fatigue Severity Scale in a Swiss Cohort

Philipp O. Valko · Claudio L. Bassetti · Konrad Ernst Bloch · Ulrike Held · Christian Rainer Baumann

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Sleep and Work-Related Fatigue Sleep and related disorders Fibromyalgia and Chronic Fatigue Syndrome Research

Abstract

BACKGROUND: Fatigue is highly prevalent and has a negative impact on quality of life and performance in a variety of disorders. The 9-item Fatigue Severity Scale (FSS) is one of the most commonly used self-report questionnaires to measure fatigue, but has only been validated in small sample-sized studies and in single disorders. OBJECTIVE: To validate the FSS in healthy subjects and different disorders known to be commonly associated with fatigue. MATERIAL AND METHODS: The FSS was administered to 454 healthy subjects, 188 patients with multiple sclerosis (MS), 235 patients with recent ischemic stroke, and 429 patients with sleep-wake disorders including narcolepsy with cataplexy (n=22), restless legs syndrome (RLS) (n=79), sleep apnea (n=108), insomnia (n=62), parasomnia (n=25), excessive daytime sleepiness/hypersomnia of other origin (n=84, and other sleep-wake disorders (n=49. RESULTS: FSS scores were 4.66 +/- 1.64 (mean +/- SD) in patients with MS, 3.90 +/- 1.85 in patients after ischemic stroke, and 4.34 +/- 1.64 in patients with sleep-wake disorders. Compared to patients, values were significantly lower in healthy subjects (3.00 +/- 1.08, P < 0.01). Scores did not correlate with gender, age, or education. Item analysis showed an excellent internal consistency and reliability (Cronbach alpha = 0.93). Test-retest variability was assessed in 104 healthy subjects, showing stable values over time (2.94 +/- 0.90 vs. 2.90 +/- 0.74; P = 0.27). CONCLUSIONS: This first validation of a fatigue scale in a large sample size demonstrates that the FSS is a simple and reliable instrument to assess and quantify fatigue for clinical and research purposes.

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1951Coefficient Alpha and the Internal Structure of Tests 1989A Concordance Correlation Coefficient to Evaluate Reproducibility

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