A comparison of neuropsychological performance between US and Russia: Preparing for a global clinical trial

Abstract Background Understanding regional differences in cognitive performance is important for interpretation of data from large multinational clinical trials. Methods Data from Durham and Cabarrus Counties in North Carolina, USA and Tomsk, Russia (n = 2972) were evaluated. The Montreal Cognitive...

Full description

Saved in:
Bibliographic Details
Published inAlzheimer's & dementia Vol. 10; no. 6; pp. 760 - 768.e1
Main Authors Hayden, Kathleen M, Makeeva, Oksana A, Newby, L. Kristin, Plassman, Brenda L, Markova, Valentina V, Dunham, Ashley, Romero, Heather R, Melikyan, Zarui A, Germain, Cassandra M, Welsh-Bohmer, Kathleen A, Roses, Allen D
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.11.2014
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Abstract Background Understanding regional differences in cognitive performance is important for interpretation of data from large multinational clinical trials. Methods Data from Durham and Cabarrus Counties in North Carolina, USA and Tomsk, Russia (n = 2972) were evaluated. The Montreal Cognitive Assessment (MoCA), Trail Making Test Part B (Trails B), Consortium to Establish a Registry for Alzheimer's Disease Word List Memory Test (WLM) delayed recall, and self-report Alzheimer's Disease Cooperative Studies Mail-In Cognitive Function Screening Instrument (MCFSI) were administered at each site. Multilevel modeling measured the variance explained by site and predictors of cognitive performance. Results Site differences accounted for 11% of the variation in the MoCA, 1.6% in Trails B, 1.7% in WLM, and 0.8% in MCFSI scores. Prior memory testing was significantly associated with WLM. Diabetes and stroke were significantly associated with Trails B and MCFSI. Conclusions Sources of variation include cultural differences, health conditions, and exposure to test stimuli. Findings highlight the importance of local norms to interpret test performance.
Bibliography:A listing of the TOMSK‐DUKE Study Group Investigators can be found in the acknowledgment section of this article.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Tomsk-Duke Study Group Investigators: Larisa I. Minaycheva,b Stephan V. Buikin,b Irina A. Zhukova,b Natalia G. Zhukova,b Yuka Maruyama,e Kent Anglin,a Pat Connelly,a Pete Gaskell,a Ann Herrin,a Charles Loughlin,a Heather MacDonald,a Michelle McCart,a Ron Nelson,a and Lawrence Whitley.a
ISSN:1552-5260
1552-5279
DOI:10.1016/j.jalz.2014.02.008