Factor structure of cognition and functional capacity in two studies of schizophrenia and bipolar disorder: Implications for genomic studies.
Open accessAbstract
OBJECTIVE: Impairments in cognition and everyday functioning are common in schizophrenia and bipolar disorder (BPD). In this article, we present factor analyses of cognitive and functional capacity (FC) measures based on 2 studies of schizophrenia (SCZ) and bipolar I disorder (BPI) using similar methods. The overall goal of these analyses was to determine whether performance-based assessments should be examined individually, or aggregated on the basis of the correlational structure of the tests, as well as to evaluate the similarity of factor structures of SCZ and BPI. METHOD: Veterans Affairs Cooperative Studies Program Study #572 (Harvey et al., 2014) evaluated cognitive and FC measures among 5,414 BPI and 3,942 SCZ patients. A 2nd study evaluated similar neuropsychological (NP) and FC measures among 368 BPI and 436 SCZ patients. Principal components analysis, as well as exploratory and CFAs, were used to examine the data. RESULTS: Analyses in both datasets suggested that NP and FC measures were explained by a single underlying factor in BPI and SCZ patients, both when analyzed separately or as in a combined sample. The factor structure in both studies was similar, with or without inclusion of FC measures; homogeneous loadings were observed for that single factor across cognitive and FC domains across the samples. CONCLUSION: The empirically derived factor model suggests that NP performance and FC are best explained as a single latent trait applicable to people with SCZ and BPD. This single measure may enhance the robustness of the analyses relating genomic data to performance-based phenotypes.
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The larger the study of the factorial structure of cognitive performance, the more likely it is that a single, global ability factor arises from factor analyses.
“The larger the study of the factorial structure of cognitive performance, the more likely it is that a single, global ability factor arises from factor analyses. 66 - 67”
From Domains of cognition and their assessment (2019) · cites this paper as [66]
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Self-citation
- Authors
- Harvey, P. D., Aslan, M., Du, M., Zhao, H., Siever, L. J., Pulver, A., Gaziano, J. M., & Concato, J.
- Affiliations
- Bruce W. Carter VA Medical Center (US)
- VA Connecticut Healthcare System (US)
- Yale University (US)
- James J. Peters VA Medical Center (US)
- VA Boston Healthcare System (US)
- Venue
- Neuropsychology
- Published
- 2016-01
- Volume
- 30
- Issue
- 1
- Pages
- 28-39
- ISSN
- 0894-4105 (ISSN-L)
- 1931-1559
- PMC
- PMC4693294
- OpenAlex
- W2409167388
- Cited by
- 42
- References
- 35
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 1 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 8 · 2019: 5 · 2018: 5 · 2017: 2
- FWCI
- 1.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Neuropsychology (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veterans Affairs
- National Institute of Mental Health (R01MH079784)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Keywords
- schizophrenia, bipolar I disorder, cognitive impairment, functional capacity, factor structure, neuropsychological assessment, performance-based measures, latent traits
- MeSH terms
- Activities of Daily Living, Adolescent, Adult, Aged, Aged, 80 and over, Bipolar Disorder, Cognition, Cognition Disorders, Factor Analysis, Statistical, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Phenotype, Schizophrenia, Schizophrenic Psychology, United States, Veterans, Genomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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