Self-reported fatigue: One dimension or more? Lessons from the functional assessment of chronic illness therapy-fatigue (FACIT-F) questionnaire

David Cella*, Jin-Shei Lai, Arthur Stone

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

Across two general population (total n=1,878) and two cancer (total n=3,140) samples, we evaluated the dimensionality of self-reported fatigue as measured by the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) instrument. After evaluating dimensionality of the FACIT-F, we compared the conceptually distinct fatigue experience versus fatigue impact scores in each sample. Confirmatory factor analysis of the 13-item scale showed very good fit to a single dimension ("unidimensional") model for each sample (comparative fit index range=0.92-0.97). Using a bifactor model to compare the loading of each item with the general fatigue factor versus the identified sub-domain (experience or impact), we found the item-general loading to be higher than that of the item-sub-domain factor in 52 of 52 comparisons (13 items; four samples). When scored separately, experience and impact scores were correlated highly (range=0.80-0.88), yet their difference relative to one another was significant (p<0.001). Consistently across samples, experience scores were systematically higher (more endorsement) than impact scores, by a margin of 0.21-0.46 SD units. This suggests that the fatigue experience and the impact of fatigue upon function are reported along a single dimensional continuum, but that experience is more likely than impact upon function to be endorsed at lower levels of fatigue. Fatigue as an outcome or trial endpoint can be expressed as a single number, and the experience of the symptom is more likely to be endorsed at mild levels of fatigue, presumably before the symptom exerts an adverse impact upon function.

Original languageEnglish (US)
Pages (from-to)1441-1450
Number of pages10
JournalSupportive Care in Cancer
Volume19
Issue number9
DOIs
StatePublished - Sep 1 2011

Keywords

  • Bifactor model
  • FACIT-F
  • Patient Reported Outcomes Measurement Information System (PROMIS) Cooperative Group

ASJC Scopus subject areas

  • Oncology

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