Factor analysis of the pittsburgh sleep quality index in breast cancer survivors

Julie Otte, Kevin L. Rand, Janet Carpenter, Kathleen M. Russell, Victoria Champion

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Context: Sleep is a significant problem in breast cancer survivors (BCS) and measured frequently using the Pittsburgh Sleep Quality Index (PSQI). Thus, it is important to evaluate its factor structure. The two-process model of sleep regulation was the theoretical framework for this study. Objectives: To perform a confirmatory factor analysis of the PSQI in BCS and compare results between African-American and Caucasian BCS. Methods: This was a secondary analysis of cross-sectional data using local and regional health care facilities and Eastern Cooperative Oncology Group referrals. The study included 1174 nondepressed BCS (90% Caucasian), with a mean age of 57 years and median PSQI global scores at the cutoff for poor sleep (median = 6.00, interquartile range = 4.00-9.00). Measurements included self-reported demographics, medical history, depression, and sleep. Results: Acceptable fit was not reached for the traditional one-factor model that would be consistent with current PSQI scoring or for alternative models in the published literature from other populations. A new two-factor model (i.e., sleep efficiency and perceived sleep quality) best fit the data but nested-model comparisons by race showed different relationships by race for 1) sleep quality-sleep latency and 2) sleep efficiency-sleep quality. Conclusion: Results were inconsistent with current PSQI scoring that assumes a single global factor and with previously published literature. Although a new two-factor model best fit the data, further quantitative and qualitative analyses are warranted to validate our results in other populations before revising PSQI scoring recommendations. Additional recommendations are described for research.

Original languageEnglish
Pages (from-to)620-627
Number of pages8
JournalJournal of Pain and Symptom Management
Volume45
Issue number3
DOIs
StatePublished - Mar 2013

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Statistical Factor Analysis
Survivors
Sleep
Breast Neoplasms
Health Facilities
African Americans
Population
Theoretical Models
Referral and Consultation
Cross-Sectional Studies
Demography

Keywords

  • breast cancer survivor
  • factor analysis
  • measurement of sleep
  • Sleep

ASJC Scopus subject areas

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

Cite this

Factor analysis of the pittsburgh sleep quality index in breast cancer survivors. / Otte, Julie; Rand, Kevin L.; Carpenter, Janet; Russell, Kathleen M.; Champion, Victoria.

In: Journal of Pain and Symptom Management, Vol. 45, No. 3, 03.2013, p. 620-627.

Research output: Contribution to journalArticle

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