title: Illness representations are associated with fluid nonadherence among hemodialysis patients.
abstract: OBJECTIVE
  Patients with end-stage renal disease are required to limit fluid and salt intake. We examined illness representations [common-sense model (CSM)] among a sample of hemodialysis (HD) patients, investigating whether fluid-adherent patients held illness representations different from those of nonadherent patients. We also explored the utility of illness perceptions in predicting fluid nonadherence after controlling for clinical parameters, including residual renal function (KRU).
  
  
  METHODS
  Illness perceptions were assessed [Revised Illness Perception Questionnaire (IPQ-R)] in 99 HD patients. Clinical parameters were collected and averaged over a 3-month period prior to and including the month of IPQ-R assessment. Depression scores, functional status, and comorbidity were also collected. Fluid nonadherence was defined using interdialytic weight gain (IDWG) and dry weight (ideal weight). Patients in the upper quartile of percent weight gain were defined as nonadherent (IDWG> or =3.21% dry weight).
  
  
  RESULTS
  Nonadherent patients had timeline perceptions significantly lower than those of adherent patients. Logistic regression models were computed in order to identify predictors of fluid nonadherence. After several demographic and clinical variables, including age, gender, and KRU, had been controlled for, lower consequence perceptions predicted nonadherence.
  
  
  CONCLUSIONS
  Illness representations appear to predict fluid nonadherence among HD patients. Extending the CSM to investigate specific perceptions surrounding treatment behaviors may be useful and merits attention in this setting.
authors.affiliation: Renal Unit Lister Hospital, Stevenage, UK. josephchilcot@nhs.net
authors.forename: Joseph
authors.initials: J
authors.lastname: Chilcot
authors.forename: David
authors.initials: D
authors.lastname: Wellsted
authors.forename: Ken
authors.initials: K
authors.lastname: Farrington
mesh_terms: D000368:Aged; D016009:Chi-Square Distribution; D003430:Cross-Sectional Studies; D003863:Depression / Q000523:psychology; D005260:Female; D006304:Health Status; D006801:Humans; D055809:Illness Behavior; D007389:Internal-External Control; D007676:Kidney Failure, Chronic / Q000523:psychology / Q000628:therapy*; D008297:Male; D008875:Middle Aged; D010349:Patient Compliance / Q000523:psychology*; D011788:Quality of Life; D012044:Regression Analysis; D006435:Renal Dialysis / Q000523:psychology*; D012648:Self Care; D012649:Self Concept; D011795:Surveys and Questionnaires; D015430:Weight Gain