Further validation of the multidimensional fatigue symptom inventory-short form

Kevin D. Stein, Paul B. Jacobsen, Chris M. Blanchard, Christina Thors

Research output: Contribution to journalArticlepeer-review

308 Citations (Scopus)

Abstract

A growing body of evidence is documenting the multidimensional nature of cancer-related fatigue. Although several multidimensional measures of fatigue have been developed, further validation of these scales is needed. To this end, the current study sought to evaluate the factorial and construct validity of the 30-item Multidimensional Fatigue Symptom Inventory-Short Form (MFSI-SF). A heterogeneous sample of 304 cancer patients (mean age 55 years) completed the MFSI-SF, along with several other measures of psychosocial functioning including the MOS-SF-36 and Fatigue Symptom Inventory, following the fourth cycle of chemotherapy treatment. The results of a confirmatory factor analysis indicated the 5-factor model provided a good fit to the data as evidenced by commonly used goodness of fit indices (CFI 0.90 and IFI 0.90). Additional evidence for the validity of the MFSI-SF was provided via correlations with other relevant instruments (range -0.21 to 0.82). In sum, the current study provides support for the MFSI-SF as a valuable tool for the multidimensional assessment of cancer-related fatigue.

Original languageEnglish
Pages (from-to)14-23
Number of pages10
JournalJournal of Pain and Symptom Management
Volume27
Issue number1
DOIs
Publication statusPublished - Jan 2004
Externally publishedYes

Bibliographical note

Funding Information:
We wish to thank Corinne Crammer and Donoria Wilkerson for their contributions to the preparation of this manuscript and Mary Coffeen, Lora Azzarello, and Heidi Grenke for their assistance in carrying out the study. This study was supported by research grants from the National Cancer Institute (R01 CA70875) and the American Cancer Society (PBR-99).

ASJC Scopus Subject Areas

  • General Nursing
  • Clinical Neurology
  • Anesthesiology and Pain Medicine

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.
  • Validation Study

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