Fibromyalgia: A time-series analysis of the stressor-physical symptom association

Richard L. Hazlett, Stephen N. Haynes

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

The purpose of this study was to investigate the association among daily stressors, cognitive rumination, and fibromyalgia symptoms using time-series methodology and to determine whether autocorrelation was present in the self-report data. Twelve female fibromyalgia subjects monitored their daily level of stressors, cognitive rumination, and fibromyalgia symptoms for 30-35 days. Time-series regression analyses indicated that there was a positive association between previous-day stressors and fibromyalgia symptoms for one subject and between previous-day cognitive rumination and fibromyalgia symptoms for four subjects. For 7 out of 12 subjects autocorrelation was present, and generalized least-squares methods were used with these subjects. These results indicate that ordinary least-squares methods may often not be appropriate for within-subject designs with self-report data. These results also question the often reported stressor-physical symptom association. This study illustrates a useful methodology and analysis to investigate psychosocial-physical symptom associations.

Original languageEnglish (US)
Pages (from-to)541-558
Number of pages18
JournalJournal of Behavioral Medicine
Volume15
Issue number6
DOIs
StatePublished - Dec 1992
Externally publishedYes

Keywords

  • cognitive rumination
  • fibromyalgia
  • stress
  • time-series analysis

ASJC Scopus subject areas

  • General Psychology
  • Psychiatry and Mental health

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