Psychometric properties of the Multidimensional Fatigue Inventory-10 in breast cancer patients

Objectives: Fatigue is very common in patients with breast cancer. Developing appropriate measurement tools to assess fatigue is critical. The aim of this study is to evaluate the psychometric properties of the Chinese version of Multidimensional Fatigue Inventory-10 (MFI-10) in patients with breast cancer. Design: A cross-sectional validation study. Methods: The MFI-10 was translated in Chinese using a combination of expert assessment and cross-cultural adaptations. The Chinese version of MFI-10 was then administered to 402 patients with breast cancer from three affiliated hospitals. Results: Principal component analysis extracted three factors that explained 78.197% of the total variance. The internal consistency reliability coefficient of MFI-10 scale was 0.864. The results of the confirmatory factor analysis showed a good fit to data (χ ² = 51.638, df = 35, NFI = 0.943, CFI = 0.981, AGFI = 0.924, TLI = 0.975 and RMSEA = 0.049), which represents good construct validity. Conclusions: The MFI-10 is a reliable and valid tool to measure fatigue in Chinese patients with breast cancer.