Can cognitive insight predict symptom remission in a first episode psychosis cohort?
Can cognitive insight predict symptom remission in a first episode psychosis cohort?
Background
The outcome of first episode psychosis (FEP) is highly variable and difficult to predict. Cognitive insight measured at illness onset has previously been found to predict psychopathology 12-months later. The aims of this study were to examine whether the prospective relationship between cognitive insight and symptom severity is evident at four-years following FEP and to examine some psychological correlates of cognitive insight.
Methods
FEP participants (n = 90) completed the Beck Cognitive Insight Scale (BCIS) at illness onset, and associations between BCIS scores with symptom severity outcomes (4-years after FEP) were assessed. The BCIS scales (self-reflectiveness and self-certainty) were examined as a composite score, and individually compared to other cognitive measures (IQ and jumping to conclusions (JTC) bias).
Results
Regression analyses revealed that the cognitive insight composite did not predict 4-year symptom remission in this study while the self-reflection subscale of the BCIS predicted severity of symptoms at 4-years. Self-certainty items of the BCIS were not associated with symptom severity. Significant correlations between the JTC bias, self-certainty and IQ were found, but self-reflection did not correlate with these other cognitive measures.
Conclusions
Self-reflective capacity is a more relevant and independent cognitive construct than self-certainty for predicting prospective symptom severity in psychosis. Improving self-reflection may be a useful target for early intervention research.
O'Connor, Jennifer
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Ellett, Lyn
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Olesya, Ajnakina
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Schoeler, Tabea
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Kolliakou, Anna
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Trotta, Antonella
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Wiffin, Benjamin
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Falcone, Aurora
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DiForti, Marta
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Murray, Robin
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Bhattacharyya, Sagnik
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David, Tony
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6 February 2017
O'Connor, Jennifer
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Ellett, Lyn
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Olesya, Ajnakina
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Schoeler, Tabea
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Kolliakou, Anna
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Trotta, Antonella
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Wiffin, Benjamin
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Falcone, Aurora
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DiForti, Marta
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Murray, Robin
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Bhattacharyya, Sagnik
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David, Tony
e776d383-f246-4627-91d9-7ee4d7025cf0
O'Connor, Jennifer, Ellett, Lyn, Olesya, Ajnakina, Schoeler, Tabea, Kolliakou, Anna, Trotta, Antonella, Wiffin, Benjamin, Falcone, Aurora, DiForti, Marta, Murray, Robin, Bhattacharyya, Sagnik and David, Tony
(2017)
Can cognitive insight predict symptom remission in a first episode psychosis cohort?
BMC Psychiatry, 17 (54).
(doi:10.1186/s12888-017-1210-9).
Abstract
Background
The outcome of first episode psychosis (FEP) is highly variable and difficult to predict. Cognitive insight measured at illness onset has previously been found to predict psychopathology 12-months later. The aims of this study were to examine whether the prospective relationship between cognitive insight and symptom severity is evident at four-years following FEP and to examine some psychological correlates of cognitive insight.
Methods
FEP participants (n = 90) completed the Beck Cognitive Insight Scale (BCIS) at illness onset, and associations between BCIS scores with symptom severity outcomes (4-years after FEP) were assessed. The BCIS scales (self-reflectiveness and self-certainty) were examined as a composite score, and individually compared to other cognitive measures (IQ and jumping to conclusions (JTC) bias).
Results
Regression analyses revealed that the cognitive insight composite did not predict 4-year symptom remission in this study while the self-reflection subscale of the BCIS predicted severity of symptoms at 4-years. Self-certainty items of the BCIS were not associated with symptom severity. Significant correlations between the JTC bias, self-certainty and IQ were found, but self-reflection did not correlate with these other cognitive measures.
Conclusions
Self-reflective capacity is a more relevant and independent cognitive construct than self-certainty for predicting prospective symptom severity in psychosis. Improving self-reflection may be a useful target for early intervention research.
Text
s12888-017-1210-9
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Published date: 6 February 2017
Identifiers
Local EPrints ID: 453760
URI: http://eprints.soton.ac.uk/id/eprint/453760
ISSN: 1471-244X
PURE UUID: aecccd4e-ef03-4358-8a5c-7c53986d0208
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Date deposited: 24 Jan 2022 17:40
Last modified: 17 Mar 2024 04:10
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Contributors
Author:
Jennifer O'Connor
Author:
Ajnakina Olesya
Author:
Tabea Schoeler
Author:
Anna Kolliakou
Author:
Antonella Trotta
Author:
Benjamin Wiffin
Author:
Aurora Falcone
Author:
Marta DiForti
Author:
Robin Murray
Author:
Sagnik Bhattacharyya
Author:
Tony David
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