Jonaitis, EM;
Koscik, RL;
Clark, LR;
Ma, Y;
Betthauser, TJ;
Berman, SE;
Allison, SL;
... Johnson, SC; + view all
(2019)
Measuring longitudinal cognition: Individual tests versus composites.
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
, 11
pp. 74-84.
10.1016/j.dadm.2018.11.006.
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Abstract
INTRODUCTION: Longitudinal cohort studies of cognitive aging must confront several sources of within-person variability in scores. In this article, we compare several neuropsychological measures in terms of longitudinal error variance and relationships with biomarker-assessed brain amyloidosis (Aβ). METHODS: Analyses used data from the Wisconsin Registry for Alzheimer's Prevention. We quantified within-person longitudinal variability and age-related trajectories for several global and domain-specific composites and their constituent scores. For a subset with cerebrospinal fluid or amyloid positron emission tomography measures, we examined how Aβ modified cognitive trajectories. RESULTS: Global and theoretically derived composites exhibited lower intraindividual variability and stronger age × Aβ interactions than did empirically derived composites or raw scores from single tests. For example, the theoretical executive function outperformed other executive function scores on both metrics. DISCUSSION: These results reinforce the need for careful selection of cognitive outcomes in study design, and support the emerging consensus favoring composites over single-test measures.
| Type: | Article |
|---|---|
| Title: | Measuring longitudinal cognition: Individual tests versus composites |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.dadm.2018.11.006 |
| Publisher version: | https://doi.org/10.1016/j.dadm.2018.11.006 |
| Language: | English |
| Additional information: | © 2018 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer’s Association. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Biostatistics, Longitudinal data analysis, Cognitive aging, Neuropsychological tests, Composite scores, Intraindividual variability |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10068423 |
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