Translation and initial validation of Chinese (Cantonese) version of Modified Fatigue Impact Scale (MFIS-C) in people with stroke

Shamay S.M. Ng (Corresponding Author), Tai Wa Liu, Joshua Tsoh

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Purpose: To translate and culturally adapt the Modified Fatigue Impact Scale (MFIS) to Chinese version, and to psychometrically test it in stroke population. Methods: This study consisted of 2 phases. In phase one, we translated and culturally adopted the original English version of MFIS into Chinese (Cantonese) (MFIS-C). In phase two, the MFIS was psychometrically tested using a cohort of community-dwelling people with stroke (n = 101) and healthy control (n = 50). Among the stroke participants, 52 of them were reassessed after a 1-week interval. Results: The MFIS-C demonstrated satisfactory content validity and good to excellent internal consistency. The overall MFIS-C and its subscales have good test-retest reliability. The MDC95 were 14.86, 7.49, and 9.70 for the overall MFIS-C physical, cognitive and psychosocial subscales, respectively. The overall MFIS-C and its 2 subscales have significant weak to moderate negative correlations with the Community Integration Measure and the 12-item Short Form Health Survey Version 2. Our findings revealed that the people with chronic stroke living in Hong Kong were reported to have high level of fatigue. Conclusion: The MFIS-C is a reliable and valid measure for assessing the level of fatigue in people with stroke.

Original languageEnglish
Article number300
JournalBMC Neurology
Volume22
Issue number1
DOIs
Publication statusPublished - Dec 2022

Keywords

  • Chronic stroke
  • Fatigue
  • Modified fatigue impact scale
  • Stroke rehabilitation

ASJC Scopus subject areas

  • Clinical Neurology

Fingerprint

Dive into the research topics of 'Translation and initial validation of Chinese (Cantonese) version of Modified Fatigue Impact Scale (MFIS-C) in people with stroke'. Together they form a unique fingerprint.

Cite this