ArticleFrontiers in psychology2023
Multifactorial structure of cognitive assessment tests in the UK Biobank: A combined exploratory factor and structural equation modeling analyses.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- A direct comparison of the measurement properties of the PROMIS-16 and EQ-5D-5L in the U.S. general population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Women's reproductive factors predict local brain aging profiles mapped using deep neural networks.GeroScience · 2026Article
- Uncovering the Molecular Landscape of Physical Activity: Proteomic Insights from the UK Biobank.medRxiv : the preprint server for health sciences · 2025Article
- Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation.Nature human behaviour · 2024Article
- Genomic insights into the shared and distinct genetic architecture of cognitive function and schizophrenia.Scientific reports · 2024Article
- A history of traumatic brain injury is associated with poorer cognition and imaging evidence of altered white matter tract integrity in UK Biobank (Brain communications · 2024Article
- Genomic Insights into the Shared and Distinct Genetic Architecture of Cognitive Function and Schizophrenia.medRxiv : the preprint server for health sciences · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
Introduction: The UK Biobank cognitive assessment data has been a significant resource for researchers looking to investigate predictors and modifiers of cognitive abilities and associated health outcomes in the general population. Given the diverse nature of this data, researchers use different approaches - from the use of a single test to composing the general intelligence score, Methods: Using a combined Exploratory Factor (EFA) and Exploratory Structural Equation Modeling Analyses (ESEM) we developed a three-factor model to characterize an underlying structure of nine cognitive tests selected from the UK Biobank using a Cattell-Horn-Carroll framework. We first estimated a series of probable factor solutions using the maximum likelihood method of extraction. The best solution for the EFA-defined factor structure was then tested using the ESEM approach with the aim of confirming or disconfirming the decisions made. Results: We determined that a three-factor model fits the UK Biobank cognitive assessment data best. Two of the three factors can be assigned to Discussion: This study characterizes cognitive assessment data in the UK Biobank and delivers an alternative view on its underlying structure, suggesting that the three factor model provides a more granular solution than
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