title: Predictors of subjective fatigue among individuals with rheumatoid arthritis.
abstract: OBJECTIVE
  To examine a range of variables potentially associated with rheumatoid arthritis (RA)-related fatigue and to determine which variables best predict subjective fatigue.
  
  
  METHODS
  Measures of fatigue, disease activity, pain, and various psychosocial factors were gathered from 73 individuals with RA. Correlations between fatigue and other variables were examined, and the "best" predictors of fatigue were determined with multiple regression analyses.
  
  
  RESULTS
  Many of the variables that were significantly correlated with fatigue had a psychosocial character. Moreover, the "best" predictors of increased fatigue were higher levels of pain, more depressive symptoms, and female sex. Longer symptom duration, less perceived adequacy of social support, and less disease activity were significant predictors of fatigue, over and above the "best" model.
  
  
  CONCLUSIONS
  RA-related fatigue appears to be strongly associated with psychosocial variables, apart from disease activity per se. Correspondingly, treatment of fatigue may be enhanced by interventions that address relevant cognitive and behavioral dimensions.
authors.affiliation: University of Missouri, Columbia, USA.
authors.forename: B A
authors.initials: BA
authors.lastname: Huyser
authors.forename: J C
authors.initials: JC
authors.lastname: Parker
authors.forename: R
authors.initials: R
authors.lastname: Thoreson
authors.forename: K L
authors.initials: KL
authors.lastname: Smarr
authors.forename: J C
authors.initials: JC
authors.lastname: Johnson
authors.forename: R
authors.initials: R
authors.lastname: Hoffman
mesh_terms: D000368:Aged; D001172:Arthritis, Rheumatoid / Q000503:physiopathology*; D005221:Fatigue / Q000503:physiopathology* / Q000523:psychology; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012647:Self-Assessment