title: Physical activity behavior after total hip arthroplasty (THA): a prediction based on patient characteristics.
abstract: OBJECTIVE
  To determine to what extent aspects of patient characteristics (age, gender, family status, education and comorbidity) are predictive for the level of physical activity of persons with a total hip arthroplasty (THA).
  
  
  METHODS
  A cross-sectional study including 372 patients. Demographics, comorbidity and physical activity behavior were assessed by means of a questionnaire and from medical records. Linear regression analysis was used to determine to what extent patient characteristics are predictive of level of physical activity. Binary logistic regression modeling was used to determine the extent to which patient characteristics are predictive in meeting international guidelines on health-enhancing physical activity.
  
  
  RESULTS
  Age, education and family status significantly predict level of physical activity (R(2)=0.19). Only gender significantly predicts meeting international guidelines on health-enhancing physical activity (OR=2.06, 95% CI 1.20-3.54).
  
  
  CONCLUSIONS
  Patients at risk can be identified by means of patient characteristics. Increasing age, lower education and living alone are associated with a physically inactive lifestyle.
  
  
  CONCLUSIONS
  Health care workers involved in the treatment of THA patients should lay an emphasis on the beneficial aspects of physical activity.
authors.affiliation: Department of Orthopedics, University Medical Center Groningen, University of Groningen, The Netherlands. m.stevens@orth.umcg.nl
authors.forename: Martin
authors.initials: M
authors.lastname: Stevens
authors.forename: Robert
authors.initials: R
authors.lastname: Wagenmakers
authors.forename: Johan W
authors.initials: JW
authors.lastname: Groothoff
authors.forename: Sjoerd K
authors.initials: SK
authors.lastname: Bulstra
authors.forename: Inge
authors.initials: I
authors.lastname: van den Akker-Scheek
authors.forename: Wiebren
authors.initials: W
authors.lastname: Zijlstra
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D019644:Arthroplasty, Replacement, Hip / Q000523:psychology / Q000534:rehabilitation; D015897:Comorbidity; D003430:Cross-Sectional Studies; D004522:Educational Status; D005081:Exercise Therapy; D005260:Female; D015577:Geriatric Assessment / Q000379:methods*; D019983:Guideline Adherence; D015438:Health Behavior; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008960:Models, Psychological; D009426:Netherlands; D010349:Patient Compliance / Q000523:psychology* / Q000706:statistics & numerical data; D010353:Patient Education as Topic; D011237:Predictive Value of Tests; D012111:Residence Characteristics; D018570:Risk Assessment / Q000379:methods; D012648:Self Care / Q000523:psychology*; D011795:Surveys and Questionnaires