The Paced Auditory Serial Addition Task (PASAT) is often used to measure attention, concentration, working memory, and speed of information processing. Using a modified 200-item version of the PASAT with presentation rates of 3.0, 2.4, 2.0, and 1.6 items per second, we analyzed demographic influences on test performance in a large sample (N = 566) of healthy North American adults. We found that age, education, and ethnicity were significant predictors, accounting for nearly 23% of the variance in test performance. We discuss these results in comparison to previous normative studies, and present a formula and tables for computing age, education, and ethnicity-adjusted T scores for performance on the PASAT 200.
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.
Objective: To create personalized estimates of future health and ability status for older adults. Method: Data came from the Cardiovascular Health Study (CHS), a large longitudinal study. Outcomes included years of life, years of healthy life (based on self-rated health), years of able life (based on activities of daily living), and years of healthy and able life. We developed regression estimates using the demographic and health characteristics that best predicted the four outcomes. Internal and external validity were assessed. Results: A prediction equation based on 11 variables accounted for about 40% of the variability for each outcome. Internal validity was excellent, and external validity was satisfactory. The resulting CHS Healthy Life Calculator (CHSHLC) is available at http://healthylifecalculator.org. Conclusion: CHSHLC provides a well-documented estimate of future years of healthy and able life for older adults, who may use it in planning for the future.
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