Cross-Cultural Validation of the Korean Version of the Chalder Fatigue Scale

• Published in: International journal of behavioral medicine 2018-06, Vol.25 (3), p.351-361
• Main Authors: Ha, Hyeju, Jeong, Donghee, Hahm, Bong-Jin, Shim, Eun-Jung
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Anxiety; Anxiety - diagnosis; College students; Cross cultural studies; Cross-Cultural Comparison; Cross-Sectional Studies; Depression - diagnosis; Family Medicine; Fatigue; Fatigue - diagnosis; Female; General Practice; Health Psychology; Humans; Male; Medicine; Medicine & Public Health; Mental depression; Mental Fatigue - diagnosis; Psychometrics; Quality of Life; Reproducibility of Results; Republic of Korea; Sleep; Surveys and Questionnaires; Validity; Young Adult
• ISSN: 1070-5503; 1532-7558
• DOI: 10.1007/s12529-017-9701-0

Purpose University students are vulnerable to fatigue. If not adequately dealt with, fatigue might develop into various health problems and negatively affect quality of life (QOL). The present study examined psychometric properties of the Korean version of the Chalder Fatigue Scale (K-CFQ) in university students. Method Data were obtained from two samples of undergraduate students in Korea. The first dataset ( N  = 557) was collected in a cross-sectional survey in 2015 and the second dataset ( N  = 338) from a longitudinal survey with three time points over a semester period in 2016. Participants completed measures of fatigue, QOL, depression, anxiety, and sleep quality. Results Three-factor model (physical fatigue, low energy, and mental fatigue) rather than the original two-factor model (physical and mental fatigue) provided a better goodness of fit indices to the data. Internal consistency of the K-CFQ was satisfactory, with Cronbach’s α value of 0.88 for the total scale and those of subscales ranging from 0.73 to 0.87. Its convergent validity was supported by its significant association with anxiety, depression, sleep quality, and QOL. Significant association between T1 K-CFQ with physical QOL at T2 and T3 supported its predictive validity. Its known-group validity was proven with higher K-CFQ scores observed in the participants with depression and those with poor sleep quality. Conclusions Current results suggest that K-CFQ is a valid and reliable measure of fatigue, and a better model fit of the three-factor structure of the K-CFQ implies potential cross-cultural differences in the dimensionality of fatigue.