The 50 and 100-item short forms of the Paced Auditory Serial Addition Task (PASAT): demographically corrected norms and comparisons with the full PASAT in normal and clinical samples

J Clin Exp Neuropsychol. 2003 Jun;25(4):571-85. doi: 10.1076/jcen.25.4.571.13876.

Abstract

While the standard 200-item version of the Paced Auditory Serial Addition Task (PASAT) is a sensitive neuropsychological instrument, it can be quite aversive to some patients due to its length and progressively increasing difficulty. We present demographically-corrected norms for 50 and 100-item short-form versions in a sample of 560 neurologically normal adults. Age, education, and ethnicity (but not gender) were found to be significant predictors of performance. In a clinical sample of 786 HIV-infected adults, diagnostic accuracy of the 50, 100, and 200-item versions was essentially equivalent (using clinical ratings of a comprehensive neuropsychological battery as the gold standard, overall classification rates of the three PASAT versions were 71%, 74%, and 73%, respectively), with better specificity (89-92%) than sensitivity (46-53%). The 50-item version showed moderate ceiling effects, but the 100-item test did not. In a mixed clinical sample of 40 subjects, the 50-item version was administered more than twice as fast as the 200-item version, and was tolerated better (discomfort rating of 4.0 vs. 5.9 on a 10-point scale, p < .05). We conclude that in many cases the PASAT-50 and PASAT-100 provide equivalent diagnostic accuracy with a significant reduction in administration time and patient discomfort.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Analysis of Variance
  • Attention / physiology*
  • Auditory Perception / physiology
  • Female
  • HIV Infections / physiopathology*
  • Humans
  • Male
  • Memory, Short-Term / physiology*
  • Mental Processes / physiology*
  • Middle Aged
  • Neuropsychological Tests*
  • Predictive Value of Tests
  • Reference Values
  • Regression Analysis
  • Reproducibility of Results
  • Time Factors