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Outcome prediction with a social cognitive battery: a multicenter longitudinal study
Eric Brunet-Gouet1,2,3, Capucine Decaix-Tisserand4,5,6, Mathieu Urbach4,5,6
1FondaMental Foundation, Créteil, France. ebrunet@ch-versailles.fr.
This study found that while facial emotion recognition and intention reading measures show promise for assessing social cognition in schizophrenia, neurocognition and clinical status are better predictors of long-term patient functioning and quality of life.
Area of Science:
- Psychiatry
- Neuroscience
- Psychology
Background:
- Social cognition deficits are linked to poor functional outcomes in schizophrenia.
- Current assessment tools lack consensus for predicting patient functioning and quality of life (QoL).
Purpose of the Study:
- To evaluate the psychometric properties and predictive validity of social cognition measures in schizophrenia.
- To determine if facial emotion recognition, theory of mind, and empathy predict functioning and QoL.
Main Methods:
- Assessed 143 schizophrenia patients using five social cognition measures (TREF, V-SIR, V-Comics, QCAE).
- Evaluated measures for distribution, internal consistency, and sensitivity to change.
- Examined cross-sectional and longitudinal relationships with functioning and QoL.
Main Results:
- TREF and V-SIR demonstrated satisfactory psychometric properties and cross-sectional links to functioning.
- These measures did not predict future functioning, unlike neurocognitive and clinical factors.
- Affective empathy (QCAE) showed a cross-sectional, but not longitudinal, association with QoL.
Conclusions:
- TREF and V-SIR are reliable for research and clinical practice, showing cross-sectional associations with outcomes.
- Neurocognitive and clinical status remain stronger predictors of long-term outcomes in schizophrenia.
- Interpreting social cognition measures requires considering their relationship with established predictive factors.
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