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Measuring longitudinal cognition: Individual tests versus composites.

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 (A?). 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 A? modified cognitive trajectories. Results:Global and theoretically derived composites exhibited lower intraindividual variability and stronger age × A? 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.

SUBMITTER: Jonaitis EM

PROVIDER: S-EPMC6816509 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Measuring longitudinal cognition: Individual tests versus composites.

Jonaitis Erin M EM Koscik Rebecca L RL Clark Lindsay R LR Ma Yue Y Betthauser Tobey J TJ Berman Sara E SE Allison Samantha L SL Mueller Kimberly D KD Hermann Bruce P BP Van Hulle Carol A CA Christian Bradley T BT Bendlin Barbara B BB Blennow Kaj K Zetterberg Henrik H Carlsson Cynthia M CM Asthana Sanjay S Johnson Sterling C SC

Alzheimer's & dementia (Amsterdam, Netherlands) 20190111

<h4>Introduction</h4>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).<h4>Methods</h4>Analyses used data from the Wisconsin Registry for Alzheimer's Prevention. We quantified within-person longitudinal variability and age-related trajectories for several global a ...[more]

PMID: 31673596

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Dataset Information

Measuring longitudinal cognition: Individual tests versus composites.

Publications

Measuring longitudinal cognition: Individual tests versus composites.

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