Factor structure of cognitive performance and functional capacity in schizophrenia: Evidence for differences across functional capacity measures.

Journal Article (Journal Article)

BACKGROUND: Cognition and functional capacity predict functional outcomes in mental illness. Traditional approaches conceptualize cognition as comprised of domains, but many studies support a unifactorial structure. Some functional capacity measures may share a single-factor structure with cognition. In this study, we examined the factor structure of two measures of functional capacity, a conventional assessment and a newer computerized assessment, testing for a shared factor structure with cognition. METHODS: Patients with schizophrenia and healthy controls were examined with the MATRICS Consensus Cognitive Battery (MCCB), the UCSD Performance Based Skills Assessment (UPSA), and the Virtual Reality Functional Capacity Assessment Tool (VRFCAT). Models of the factor structures of the MCCB, UPSA, and VRFCAT were calculated, as were correlations between MCCB scores and individual VRFCAT objectives. RESULTS: The MCCB, VRFCAT, and UPSA all had unifactorial structures. The best fitting model of the correlations between MCCB and UPSA was a shared single factor, while the best fit for the relationship between MCCB and VRFCAT had two factors. Correlations between the MCCB domain and composite scores and the VRFCAT objectives suggested global rather than specific patterns of correlation. DISCUSSION: The relationship between cognitive performance and functional capacity was found to vary across functional capacity assessments. The UPSA and MCCB were not differentiated into separate factors, suggesting that the UPSA may overlap with neurocognitive performance. However, the VRFCAT appears to measure functional abilities that are separable from, yet correlated with, neurocognitive performance. It may provide a more distinctive assessment of the functional capacity construct.

Full Text

Duke Authors

Cited Authors

  • Harvey, PD; Horan, WP; Atkins, AS; Stevens, H; Welch, M; Yuan, J; Patterson, TL; Narasimhan, M; Keefe, RSE

Published Date

  • September 2020

Published In

Volume / Issue

  • 223 /

Start / End Page

  • 297 - 304

PubMed ID

  • 32928621

Pubmed Central ID

  • PMC7704623

Electronic International Standard Serial Number (EISSN)

  • 1573-2509

Digital Object Identifier (DOI)

  • 10.1016/j.schres.2020.08.010

Language

  • eng

Conference Location

  • Netherlands