UDSNB 3.0 Neuropsychological Test Norms in Older Adults from a Diverse Community: Results from the Einstein Aging Study (EAS)

J Alzheimers Dis. 2021;83(4):1665-1678. doi: 10.3233/JAD-210538.

Abstract

Background: The Uniform Data Set, Version 3 Neuropsychological Battery (UDSNB3.0), from the database of the University of Washington's National Alzheimer's Coordinating Center (NACC), is widely used to characterize cognitive performance in clinical and research settings; however, norms for underrepresented community-based samples are scarce.

Objective: We compared UDSNB 3.0 test scores between the Einstein Aging Study (EAS), composed of racially/ethnically diverse, community-dwelling older adults aged≥70 and the NACC, and report normative data from the EAS.

Methods: Analyses included 225 cognitively normal EAS participants and comparable data from 5,031 NACC database participants. Linear regression models compared performance between the samples, adjusting for demographics (sex, age, education, race/ethnicity), depressive symptoms, and whether English was the first language. Linear regression models to examine demographic factors including age, sex, education and race/ethnicity as predictors for the neuropsychological tests were applied in EAS and NACC separately and were used to create a demographically adjusted z-score calculator.

Results: Cognitive performance across all domains was worse in the EAS than in the NACC, adjusting for age, sex, education, race/ethnicity, and depression, and the differences remained in visuo-construction, visuospatial memory, confrontation naming, visual attention/processing speed, and executive functioning after further adjusting for whether English was the first language. In both samples, non-Hispanic Whites outperformed non-Hispanic Blacks and more education was associated with better cognitive performance.

Conclusion: Differences observed in demographic, clinical, and cognitive characteristics between the community-based EAS sample and the nationwide NACC sample suggest that separate normative data that more accurately reflect non-clinic, community-based populations should be established.

Keywords: Aging; cognitive test norms; community sample; mild cognitive impairment; neuropsychology; racial/ethnic diversity.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Aging / physiology*
  • Black People / statistics & numerical data*
  • Cognition / physiology*
  • Databases, Factual
  • Ethnicity*
  • Female
  • Humans
  • Independent Living
  • Male
  • Neuropsychological Tests* / standards
  • Neuropsychological Tests* / statistics & numerical data
  • White People / statistics & numerical data*

Grants and funding