title: Prevalence and predictors of 6-month fatigue in patients with ischemic stroke: a population-based stroke incidence study in Auckland, New Zealand, 2002-2003.
abstract: OBJECTIVE
  Although persistent and significant fatigue affects the daily life of stroke survivors, there are no population-based studies examining the prevalence of fatigue in 6-month survivors of ischemic stroke and few studies of predictors of poststroke fatigue.
  
  
  METHODS
  This article examined data from the Auckland Regional Community Stroke study conducted in Auckland, New Zealand, in 2002 to 2003. Presence of fatigue was evaluated at 6 months in 613 patients with ischemic stroke using a Short Form 36 Vitality Score (energy and fatigue) of ≤ 47. Multivariate logistic regression analysis was used to determine predictors of fatigue development 6 months poststroke.
  
  
  RESULTS
  The prevalence of fatigue was 30% (28% in men and 33% in women). There was a clear association between increased prevalence of fatigue and advancing age. The only baseline variables independently associated with an increased risk of developing fatigue at 6 months poststroke were prestroke incontinence and being of New Zealand European ethnicity. Being independent and living alone at baseline were associated with significant reduction in the risk of being fatigued at 6 months poststroke. Severe depression at 6 months was significantly and independently associated with being fatigued.
  
  
  CONCLUSIONS
  The prevalence of fatigue found in our study is at the lower level of range reported in other studies. The prevalence of fatigue increased with advancing age, as found in most previous studies. Because fatigue can have a negative impact on stroke recovery, particular attention needs to be paid to those who are older, incontinent before stroke, and those who report severe symptoms of depression at 6 months after stroke.
authors.affiliation: National Institute for Stroke and Applied Neurosciences, AUT University, Private Bag 92006, Auckland 1142, New Zealand. valery.feigin@aut.ac.nz
authors.forename: Valery L
authors.initials: VL
authors.lastname: Feigin
authors.forename: Suzanne
authors.initials: S
authors.lastname: Barker-Collo
authors.forename: Varsha
authors.initials: V
authors.lastname: Parag
authors.forename: Maree L
authors.initials: ML
authors.lastname: Hackett
authors.forename: Ngaire
authors.initials: N
authors.lastname: Kerse
authors.forename: P Alan
authors.initials: PA
authors.lastname: Barber
authors.forename: Alice
authors.initials: A
authors.lastname: Theadom
authors.forename: Rita
authors.initials: R
authors.lastname: Krishnamurthi
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D015897:Comorbidity; D003863:Depression / Q000453:epidemiology*; D005221:Fatigue / Q000453:epidemiology*; D005260:Female; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009520:New Zealand; D011237:Predictive Value of Tests; D015995:Prevalence; D012189:Retrospective Studies; D012720:Severity of Illness Index; D020521:Stroke / Q000150:complications* / Q000453:epidemiology* / Q000208:ethnology; D014549:Urinary Incontinence / Q000453:epidemiology*