Regression-Based Norms and Validation of the Cambridge Neuropsychological Test Automated Battery among Community-Living Older Adults in Singapore

The Cambridge Neuropsychological Test Automated Battery (CANTAB) is widely used in research and clinical settings. However, little is known about the use of the CANTAB in the local aging context. This study aimed to develop normative data for various CANTAB measures in community-living older adults in Singapore. Normative data were built using the regression-based approach. A secondary aim was to examine the concurrent validity of CANTAB measures with their traditional neurocognitive test counterparts.A total of 210 older adults (Mage = 67.27 years, SD = 5.45) from an existing cohort study completed standard neurocognitive tests and a CANTAB battery. A total of 160 were normal aging, 46 diagnosed with Mild Cognitive Impairment (MCI), and one diagnosed with Dementia. Older adults with MCI and Dementia were not included in the calculation of norms but were included in other analyses. For the CANTAB battery, regression-based norms were generated for each CANTAB measure, with age, sex, and education included as covariates. Concurrent validity was examined by correlating the CANTAB measures with their traditional neurocognitive counterparts.As expected, performance across most CANTAB measures declined significantly with increasing age and decreasing education levels. There were no significant effects of sex on most CANTAB measures. Our study also showed that some CANTAB measures demonstrated good concurrent validity as they significantly correlated with their traditional neurocognitive test counterparts.We have developed age, sex, and education-specific CANTAB norms for use in the local aging context. The advantages and challenges of using the CANTAB in the local aging context are discussed.