AI Article Synopsis
- The study aimed to evaluate the reliability and validity of the Fatigue Self-assessment Scale (FSAS) among different groups of participants.
- The FSAS was tested using various statistical methods, resulting in strong internal consistency and valid assessments of fatigue types and characteristics across these groups.
- The findings suggest that FSAS is effective for distinguishing fatigue levels in diverse populations, and future research should integrate it with traditional Chinese medicine (TCM) approaches for evaluating fatigue and treatment effects.
Article Abstract
Objective: To analyze the reliability and validity of the Fatigue Self-assessment Scale (FSAS).
Methods: The scale was applied among the participants assigned to 4 groups, the differences in types, degrees and characteristics of fatigue of them were compared, and the reliability and constitutional validity of ESAS were assessed by internal consistency analysis, exploratory factor analysis and confirmatory factor analysis using the statistical software of SPSS and LISREL.
Results: Statistical differences of types, degrees and characteristics of fatigue presented in the participants of the 4 groups. The Cronbach's alpha of various factors in the scale were 0.772-0.908; the indexes for the section of assessing type, and degree of fatigue were RMSEA=0.065, NNFI=0.95, CFI=0.96; and those for the section of assessing characteristics of fatigue were: RMSEA=0.10, NNFI=0.93, CFI=0.96.
Conclusion: The FSAS has good differentiability, reliability and constitutional validity for assessing the type, degree and characteristics of fatigue in various populations. In order to explore the relationship of TCM syndrome patterns with the type, degree and characteristics of fatigue, its future application for evaluation of fatigue and intervention effect of anti-fatigue should be combined with TCM syndrome differentiation.
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