Ha Hyeju, Jeong Donghee, Hahm Bong-Jin, Shim Eun-Jung
Department of Psychology, Pusan National University, 2, Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan, 46241, South Korea.
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
Int J Behav Med. 2018 Jun;25(3):351-361. doi: 10.1007/s12529-017-9701-0.
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.
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.
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.
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.
大学生容易疲劳。如果得不到充分处理，疲劳可能会发展成各种健康问题，并对生活质量（QOL）产生负面影响。本研究考察了韩文版查尔德疲劳量表（K-CFQ）在大学生中的心理测量特性。
数据来自韩国本科生的两个样本。第一个数据集（N = 557）于2015年通过横断面调查收集，第二个数据集（N = 338）来自2016年一个学期内有三个时间点的纵向调查。参与者完成了疲劳、生活质量、抑郁、焦虑和睡眠质量的测量。
三因素模型（身体疲劳、精力不足和精神疲劳）而非原始的两因素模型（身体和精神疲劳）对数据的拟合指数更好。K-CFQ的内部一致性令人满意，总量表的克朗巴赫α值为0.88，各子量表的克朗巴赫α值在0.73至0.87之间。其与焦虑、抑郁、睡眠质量和生活质量的显著关联支持了它的收敛效度。T1期K-CFQ与T2期和T3期身体生活质量之间的显著关联支持了它的预测效度。在抑郁症患者和睡眠质量差的参与者中观察到较高的K-CFQ分数，证明了其已知群体效度。
目前的结果表明，K-CFQ是一种有效且可靠的疲劳测量工具，K-CFQ三因素结构更好的模型拟合意味着疲劳维度可能存在跨文化差异。
