Cancer Symptom Clusters: A Validation Study

Mei Ling Chen, Chia-Chin Lin

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

Cancer patients often experience multiple symptoms concurrently, a phenomenon called symptom clustering. Different symptom clusters have been identified by various symptom assessment tools, as well as by different research methods, but no study has reported whether these identified symptom clusters can be replicated in a new sample. The severity of nine symptoms in 321 cancer patients was assessed using a Taiwanese version of the M.D. Anderson Symptom Inventory. The fit between these data and a model with three symptom factors (sickness, gastrointestinal, and emotional) was evaluated using confirmatory factor analysis. Most fitness indices demonstrated a satisfactory fit between the data and a prespecified three-factor model except one; the root mean square error of approximation was

Original languageEnglish
Pages (from-to)590-599
Number of pages10
JournalJournal of Pain and Symptom Management
Volume34
Issue number6
DOIs
Publication statusPublished - Dec 2007

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Validation Studies
Symptom Assessment
Statistical Factor Analysis
Cluster Analysis
Neoplasms
Equipment and Supplies
Research

Keywords

  • cancer
  • confirmatory factor analysis
  • Symptom clusters

ASJC Scopus subject areas

  • Anesthesiology and Pain Medicine
  • Clinical Neurology
  • Neurology
  • Nursing(all)

Cite this

Cancer Symptom Clusters : A Validation Study. / Chen, Mei Ling; Lin, Chia-Chin.

In: Journal of Pain and Symptom Management, Vol. 34, No. 6, 12.2007, p. 590-599.

Research output: Contribution to journalArticle

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