title: Fatigue in patients with epilepsy and its association with depression and sleep quality.
abstract: OBJECTIVE
  It was to evaluate the relationships between fatigue and excessive daytime sleepiness, sleep quality, depression and anxiety.
  
  
  METHODS
  This was a cross-sectional study on 98 unselected adult patients with epilepsy (PWE) at a tertiary center. It used clinical-sociodemographic characteristics, fatigue measured by the SF-36 vitality subscale (VsSF-36) and the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index and Beck Depression and Anxiety Inventories.
  
  
  RESULTS
  We observed that our patients presented vitality or fatigue similar to drivers with chronic headaches evaluated in the same city. Fatigue was related to depression, anxiety and sleep quality, but not to daytime sleepiness. A multiple linear regression analysis was conducted and we observed that fatigue was independently correlated with depression and quality of sleep. However, no significant difference was observed regarding seizure frequency or number of antiepileptic drugs.
  
  
  CONCLUSIONS
  Fatigue needs to be studied more in PWE, and its risk factors need to be controlled, along with sleep quality and psychiatric disorders.
authors: Institute of Neurology, Federal University of Rio de Janeiro, RJ, Brazil. gsmlneves@gmail.com.br
authors: Gisele S M Leite
authors: GS
authors: Neves
authors: Marleide da Mota
authors: Mda M
authors: Gomes
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001007:Anxiety / Q000150:complications*; D003430:Cross-Sectional Studies; D003863:Depression / Q000150:complications*; D006970:Disorders of Excessive Somnolence / Q000150:complications*; D004827:Epilepsy / Q000150:complications*; D005221:Fatigue / Q000209:etiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012307:Risk Factors; D012959:Socioeconomic Factors; D055815:Young Adult