title: Reliability and Construct Validity of Two Versions of Chalder Fatigue Scale among the General Population in Mainland China.
abstract: The 14-item Chalder Fatigue Scale (CFS) is widely used, while the 11-item version is seldom to be found in current research in mainland China. The objectives of the present study is to compare the reliability and construct validity between these two versions and to confirm which may be better for the mainland Chinese setting. Based on a cross-sectional health survey with a constructive questionnaire, 1887 individuals aged 18 years or above were selected. Socio-demographic, health-related, gynecological data were collected, and 11-item and 14-item Chalder Fatigue Scale (CFS) were used to assess fatigue. Confirmatory factor analysis and exploratory structural equation modeling (ESEM) were performed to test the fit of models of the two versions. Confirmatory factor analysis of the two versions of CFS did not support the two-factor theorized models. In addition, a three-factor ESEM model of the 11-item version, but not the 14-item version, showed better factor structure and fitness than the other models examined. Both the versions had good internal consistency reliability and a satisfactory internal consistency (Ω = 0.78-0.96, omega coefficient indicates the internal consistency reliability) was obtained from the optimal model. This study provided evidence for satisfactory reliability and structural validity for the three-factor model of the 11-item version, which was proven to be superior to the 14-item version for this data.
authors.affiliation: Institute of Public Health, School of Nursing, Henan University, Kaifeng 475000, China. jing53905@163.com.
authors.forename: Meng-Juan
authors.initials: MJ
authors.lastname: Jing
authors.affiliation: Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China. linweiquan0503@163.com.
authors.forename: Wei-Quan
authors.initials: WQ
authors.lastname: Lin
authors.affiliation: Institute of Public Health, School of Nursing, Henan University, Kaifeng 475000, China. kfwq@henu.edu.cn.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Wang
authors.affiliation: Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China. wjiaji@163.com.
authors.forename: Jia-Ji
authors.initials: JJ
authors.lastname: Wang
authors.affiliation: Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China. gytanjie@163.com.
authors.forename: Jie
authors.initials: J
authors.lastname: Tang
authors.affiliation: Institute of Public Health, School of Nursing, Henan University, Kaifeng 475000, China. esjiang@henu.edu.cn.
authors.forename: En-She
authors.initials: ES
authors.lastname: Jiang
authors.affiliation: Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China. gz-leizeng@163.com.
authors.forename: Yi-Xiong
authors.initials: YX
authors.lastname: Lei
authors.affiliation: Institute of Public Health, School of Nursing, Henan University, Kaifeng 475000, China. peixi001@163.com.|Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou 510182, China. peixi001@163.com.
authors.forename: Pei-Xi
authors.initials: PX
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People / Q000523:psychology* / Q000706:statistics & numerical data*; D002681:China; D003430:Cross-Sectional Studies; D003955:Diagnostic Tests, Routine / Q000592:standards*; D005163:Factor Analysis, Statistical; D005221:Fatigue / Q000175:diagnosis* / Q000523:psychology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011594:Psychometrics; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires; D055815:Young Adult
keywords: chalder fatigue scale; confirmatory factor analyses; construct validity; exploratory structural equation modeling; mainland China; reliability