title: Prevalence and predictors of nonadherence to hemodialysis.
abstract: BACKGROUND
  The prevalence of nonadherence to dialysis (NAD) presents a wide variation, depending on the parameters used and demographic regions studied. This study aimed to assess the prevalence and predictors of NAD of patients with chronic kidney disease undergoing hemodialysis (HD).
  
  
  METHODS
  This was a cross-sectional study with 255 adult patients receiving HD for >3 months. Skipping a session per month, shortening a session for at least 10 min, phosphorus >7.5 mg/dl, potassium >6.0 mmol/l and interdialytic weight gain (IDWG) >5.7% of body weight were indicative of NAD. The association of sociodemographic and clinical variables with NAD was assessed using logistic regression.
  
  
  RESULTS
  Mean age was 50 ± 13.1 years, 62.7% were male, 85.5% were of African descent and 62% were married. The prevalence rates of NAD were: 49% of shortening sessions, 18% of hyperkalemia, 12% of hyperphosphatemia, 9% of IDWG >5.7% of dry weight and 8% of skipping HD. Independent predictors of NAD were: age ≤50 years, not being married, living alone, living in Salvador, attending dialysis without a companion, ethnic African descent, Kt/V <1.3 and residual diuresis <100 ml/day.
  
  
  CONCLUSIONS
  NAD is frequent and distinct sociodemographic and clinical variables predict different parameters.
authors.affiliation: Postgraduate Course in Medicine and Human Health, Bahia School of Medicine and Public Health, Salvador, Brazil.
authors.forename: L G
authors.initials: LG
authors.lastname: Dantas
authors.forename: C
authors.initials: C
authors.lastname: Cruz
authors.forename: M
authors.initials: M
authors.lastname: Rocha
authors.forename: J A
authors.initials: JA
authors.lastname: Moura
authors.forename: E
authors.initials: E
authors.lastname: Paschoalin
authors.forename: S
authors.initials: S
authors.lastname: Paschoalin
authors.forename: C
authors.initials: C
authors.lastname: Marcilio de Souza
mesh_terms: D017677:Age Distribution; D001938:Brazil / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D017533:Marital Status / Q000706:statistics & numerical data*; D008875:Middle Aged; D010349:Patient Compliance / Q000706:statistics & numerical data*; D015995:Prevalence; D011379:Prognosis; D006435:Renal Dialysis / Q000706:statistics & numerical data*; D051436:Renal Insufficiency, Chronic / Q000453:epidemiology* / Q000628:therapy*; D018570:Risk Assessment; D017678:Sex Distribution; D012959:Socioeconomic Factors