Relationship of subjective quality of life with symptomatology, neurocognition and psychosocial functioning in first-episode psychosis: a structural equation modelling approach

Author(s):  
Sandra Chi Yiu Wong ◽  
Wing Chung Chang ◽  
Christy Lai Ming Hui ◽  
Sherry Kit Wa Chan ◽  
Edwin Ho Ming Lee ◽  
...  
2019 ◽  
Vol 10 ◽  
Author(s):  
Xiao Wei Tan ◽  
Shazana Shahwan ◽  
Pratika Satghare ◽  
Boon Yiang Chua ◽  
Swapna Verma ◽  
...  

2010 ◽  
Vol 198 (12) ◽  
pp. 864-869 ◽  
Author(s):  
Ingrid Melle ◽  
Jan Ivar Røssberg ◽  
Inge Joa ◽  
Svein Friis ◽  
Ulrik Haahr ◽  
...  

2017 ◽  
Vol 249 ◽  
pp. 39-45 ◽  
Author(s):  
Vivian Wing Yan Kwong ◽  
Wing Chung Chang ◽  
Gloria Hoi Kei Chan ◽  
Olivia Tsz Ting Jim ◽  
Emily Sin Kei Lau ◽  
...  

2018 ◽  
Vol 86 ◽  
pp. 107-114 ◽  
Author(s):  
Erlend Strand Gardsjord ◽  
Kristin Lie Romm ◽  
Jan Ivar Røssberg ◽  
Svein Friis ◽  
Helene Eidsmo Barder ◽  
...  

2019 ◽  
Vol 50 (12) ◽  
pp. 2019-2027 ◽  
Author(s):  
W. C. Chang ◽  
C. S. M. Wong ◽  
P. C. F. Or ◽  
A. O. K. Chu ◽  
C. L. M. Hui ◽  
...  

AbstractBackgroundBetter understanding of interplay among symptoms, cognition and functioning in first-episode psychosis (FEP) is crucial to promoting functional recovery. Network analysis is a promising data-driven approach to elucidating complex interactions among psychopathological variables in psychosis, but has not been applied in FEP.MethodThis study employed network analysis to examine inter-relationships among a wide array of variables encompassing psychopathology, premorbid and onset characteristics, cognition, subjective quality-of-life and psychosocial functioning in 323 adult FEP patients in Hong Kong. Graphical Least Absolute Shrinkage and Selection Operator (LASSO) combined with extended Bayesian information criterion (BIC) model selection was used for network construction. Importance of individual nodes in a generated network was quantified by centrality analyses.ResultsOur results showed that amotivation played the most central role and had the strongest associations with other variables in the network, as indexed by node strength. Amotivation and diminished expression displayed differential relationships with other nodes, supporting the validity of two-factor negative symptom structure. Psychosocial functioning was most strongly connected with amotivation and was weakly linked to several other variables. Within cognitive domain, digit span demonstrated the highest centrality and was connected with most of the other cognitive variables. Exploratory analysis revealed no significant gender differences in network structure and global strength.ConclusionOur results suggest the pivotal role of amotivation in psychopathology network of FEP and indicate its critical association with psychosocial functioning. Further research is required to verify the clinical significance of diminished motivation on functional outcome in the early course of psychotic illness.


2016 ◽  
Vol 172 (1-3) ◽  
pp. 23-28 ◽  
Author(s):  
Erlend Strand Gardsjord ◽  
Kristin Lie Romm ◽  
Svein Friis ◽  
Helene Eidsmo Barder ◽  
Julie Evensen ◽  
...  

2021 ◽  
Author(s):  
Samuel Abplanalp ◽  
Kim T. Mueser ◽  
Daniel Fulford

Psychosocial functioning impairment is prevalent in first episode psychosis and chronic schizophrenia. The Quality of Life Scale (QLS) is a widely-used tool to measure psychosocial functioning; however, given the overlap between negative symptoms and functioning, along with the QLS being conceptualized initially as a measure of the deficit syndrome, it is unclear whether summing QLS items into a total score is an appropriate measure of overall psychosocial functioning. This study aimed to examine the centrality of QLS items and the appropriateness of using a QLS total score. Participants with first episode psychosis (n = 404) completed the QLS. Item centrality was assessed using a network analysis approach, while reliability and dimensionality of the QLS total score and subscales were measured using bifactor modeling and related psychometric indices. Network analysis results showed that an item relating to motivation was the most central item within the scale. Moreover, bifactor modeling results found that motivation and other items relating to negative symptoms may reflect the QLS total score more strongly than other functioning (i.e., Interpersonal, Instrumental) domains. Based on these findings, we urge researchers to use caution when using a QLS total score, as it may unequally confound functional domains and motivation. Moreover, our results continue to underscore the importance of negative symptoms, particularly motivational impairment, in psychosocial functioning. Future studies should aim to examine the centrality of other functioning measures in psychosis and schizophrenia, as our results suggest that psychosocial functioning may be greatly influenced by motivation.


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