scholarly journals Assessment of metacognitive beliefs in an at risk mental state for psychosis: A validation study of the Metacognitions Questionnaire-30

2018 ◽  
Vol 25 (5) ◽  
pp. 710-720 ◽  
Author(s):  
Measha Bright ◽  
Sophie Parker ◽  
Paul French ◽  
Anthony P. Morrison ◽  
Sarah Tully ◽  
...  
Keyword(s):  
At Risk ◽  
Mental State ◽  
Validation Study ◽  
Metacognitive Beliefs ◽  
At Risk Mental State

scholarly journals Metacognitive beliefs in adolescents with an at-risk mental state for psychosis

2013 ◽  
Vol 8 (1) ◽  
pp. 82-86 ◽  
Author(s):  
Patrick Welsh ◽  
Sam Cartwright-Hatton ◽  
Adrian Wells ◽  
Libby Snow ◽  
Paul A. Tiffin
Keyword(s):  
At Risk ◽  
Mental State ◽  
Metacognitive Beliefs ◽  
At Risk Mental State

scholarly journals Metacognitive beliefs in the at-risk mental state: A systematic review and meta-analysis

2017 ◽  
Vol 90 ◽  
pp. 25-31 ◽  
Author(s):  
Jack Cotter ◽  
Alison R. Yung ◽  
Rebekah Carney ◽  
Richard J. Drake
Keyword(s):  
Systematic Review ◽  
At Risk ◽  
Mental State ◽  
Meta Analysis ◽  
Metacognitive Beliefs ◽  
At Risk Mental State

Characterization of the anterior cingulate's role in the at-risk mental state using graph theory

NeuroImage ◽  
2011 ◽  
Vol 56 (3) ◽  
pp. 1531-1539 ◽  
Author(s):  
Louis-David Lord ◽  
Paul Allen ◽  
Paul Expert ◽  
Oliver Howes ◽  
Renaud Lambiotte ◽  
...  
Keyword(s):  
At Risk ◽  
Graph Theory ◽  
Mental State ◽  
At Risk Mental State

Insight in individuals with an At Risk Mental State☆

2007 ◽  
Vol 90 (1-3) ◽  
pp. 238-244 ◽  
Author(s):  
J LAPPIN ◽  
K MORGAN ◽  
L VALMAGGIA ◽  
M BROOME ◽  
J WOOLLEY ◽  
...  
Keyword(s):  
At Risk ◽  
Mental State ◽  
At Risk Mental State

Nature of stressful life events and transition to psychosis in young individuals with an at risk mental state

2016 ◽  
Vol 26 ◽  
pp. S501 ◽  
Author(s):  
R.M. Gabernet ◽  
M. Tost ◽  
A. Gutiérrez-Zotes ◽  
V. Sánchez-Gistau ◽  
M. Solé ◽  
...  
Keyword(s):  
At Risk ◽  
Life Events ◽  
Mental State ◽  
Stressful Life Events ◽  
Stressful Life ◽  
At Risk Mental State

The relationship between cognitive insight and cognitive performance among individuals with at-risk mental state for developing psychosis

2018 ◽  
Vol 192 ◽  
pp. 281-286 ◽  
Author(s):  
Noriyuki Ohmuro ◽  
Masahiro Katsura ◽  
Chika Obara ◽  
Tatsuo Kikuchi ◽  
Yumiko Hamaie ◽  
...  
Keyword(s):  
At Risk ◽  
Cognitive Performance ◽  
Mental State ◽  
Cognitive Insight ◽  
The Relationship ◽  
At Risk Mental State

scholarly journals SU9. Beyond Psychosis Risk: Introduction to a Broad at Risk Mental State

2017 ◽  
Vol 43 (suppl_1) ◽  
pp. S164-S164
Author(s):  
Jessica Hartmann ◽  
Barnaby Nelson
Keyword(s):  
At Risk ◽  
Mental State ◽  
Psychosis Risk ◽  
At Risk Mental State

COMT Val 158 Met genotype and cannabis use in people with an At Risk Mental State for psychosis: Exploring Gene x Environment interactions

2016 ◽  
Vol 174 (1-3) ◽  
pp. 24-28 ◽  
Author(s):  
Dorien H. Nieman ◽  
Sara Dragt ◽  
Esther D.A. van Duin ◽  
Nadine Denneman ◽  
Jozefien M. Overbeek ◽  
...  
Keyword(s):  
At Risk ◽  
Mental State ◽  
Cannabis Use ◽  
Gene X Environment Interactions ◽  
At Risk Mental State

scholarly journals Negative psychotic symptoms and impaired role functioning predict transition outcomes in the at-risk mental state: a latent class cluster analysis study

2013 ◽  
Vol 43 (11) ◽  
pp. 2311-2325 ◽  
Author(s):  
L. R. Valmaggia ◽  
D. Stahl ◽  
A. R. Yung ◽  
B. Nelson ◽  
P. Fusar-Poli ◽  
...  
Keyword(s):  
At Risk ◽  
Cluster Analysis ◽  
Mental State ◽  
Latent Class ◽  
Mental States ◽  
Psychotic Symptoms ◽  
Role Functioning ◽  
Latent Class Cluster Analysis ◽  
At Risk Mental State

BackgroundMany research groups have attempted to predict which individuals with an at-risk mental state (ARMS) for psychosis will later develop a psychotic disorder. However, it is difficult to predict the course and outcome based on individual symptoms scores.MethodData from 318 ARMS individuals from two specialized services for ARMS subjects were analysed using latent class cluster analysis (LCCA). The score on the Comprehensive Assessment of At-Risk Mental States (CAARMS) was used to explore the number, size and symptom profiles of latent classes.ResultsLCCA produced four high-risk classes, censored after 2 years of follow-up: class 1 (mild) had the lowest transition risk (4.9%). Subjects in this group had the lowest scores on all the CAARMS items, they were younger, more likely to be students and had the highest Global Assessment of Functioning (GAF) score. Subjects in class 2 (moderate) had a transition risk of 10.9%, scored moderately on all CAARMS items and were more likely to be in employment. Those in class 3 (moderate–severe) had a transition risk of 11.4% and scored moderately severe on the CAARMS. Subjects in class 4 (severe) had the highest transition risk (41.2%), they scored highest on the CAARMS, had the lowest GAF score and were more likely to be unemployed. Overall, class 4 was best distinguished from the other classes on the alogia, avolition/apathy, anhedonia, social isolation and impaired role functioning.ConclusionsThe different classes of symptoms were associated with significant differences in the risk of transition at 2 years of follow-up. Symptomatic clustering predicts prognosis better than individual symptoms.

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