title: Standard measures of executive function in predicting instrumental activities of daily living in older adults.
abstract: OBJECTIVE
  The purpose of this study was to examine the ability of specific, commonly used neuropsychological tests of executive function to predict functional status among a group of elderly subjects.
  
  
  METHODS
  Fifty study participants underwent a brief neuropsychological evaluation of executive functions and assessment of instrumental activities of daily living (IADL).
  
  
  RESULTS
  A multiple stepwise regression analysis indicated that executive function tests accounted for 54% of the variance in functional status. An examination of the standardized regression coefficients revealed that Trail Making Test-Part B and the Wisconsin Card Sorting Test were the only two of the five executive function tests that significantly predicted functional status. These executive function measures contributed significantly to the prediction of functional status even after statistically controlling for age, sex, and education.
  
  
  CONCLUSIONS
  Thus, the common clinical measures of executive function are useful in predicting functional status in older adults.
authors.affiliation: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA. bells@msx.upmc.edu
authors.forename: Sandra
authors.initials: S
authors.lastname: Bell-McGinty
authors.forename: Kenneth
authors.initials: K
authors.lastname: Podell
authors.forename: Michael
authors.initials: M
authors.lastname: Franzen
authors.forename: Anne D
authors.initials: AD
authors.lastname: Baird
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Williams
mesh_terms: D000203:Activities of Daily Living; D000223:Adaptation, Psychological; D000368:Aged; D000369:Aged, 80 and over; D003072:Cognition Disorders / Q000175:diagnosis*; D003704:Dementia / Q000175:diagnosis; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012720:Severity of Illness Index