title: Correlates of poor appetite among hemodialysis patients.
abstract: OBJECTIVE
  Poor appetite is an important barrier to adequate nutrition among hemodialysis patients. We sought to determine the relationship between overall appetite and (1) patient demographic and medical characteristics and (2) appetite for specific foods.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  All 22 chronic hemodialysis units in northeast Ohio.
  
  
  METHODS
  Two hundred ninety-eight randomly selected patents.
  
  
  METHODS
  Interview and chart abstraction.
  
  
  METHODS
  Overall patient appetite.
  
  
  RESULTS
  Of all patients, 12% reported poor overall appetite, 20% reported fair appetite, and 69% reported good appetite. There was no relationship between overall appetite and patient demographic (age, gender, race, education, health insurance) or medical (cause of renal failure, years on dialysis, number of comorbid conditions, Kt/V) characteristics. There was little relationship between overall appetite and appetite for 20 specific foods. Of 34 patients with poor overall appetite, 29 (85%) identified at least three specific protein foods for which they had good appetite and 28 (82%) identified at least three nonprotein foods for which they had good appetite.
  
  
  CONCLUSIONS
  Poor overall appetite is not associated with patient characteristics or appetite for specific foods. Most patients with poor overall appetite have good appetite for several specific foods. Helping patients increase the intake of these foods may be beneficial in improving nutritional status.
authors.affiliation: Division of Nephrology, MetroHealth Medical Center, Cleveland, OH, USA.
authors.forename: P
authors.initials: P
authors.lastname: Ohri-Vachaspati
authors.forename: A R
authors.initials: AR
authors.lastname: Sehgal
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001066:Appetite; D015897:Comorbidity; D003430:Cross-Sectional Studies; D005006:Ethnicity; D005260:Female; D005518:Food Preferences; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D006435:Renal Dialysis; D012737:Sex Factors; D013997:Time Factors