Negative belief-updating bias for positive daily life events in individuals with schizophrenia and social anhedonia

Hu, Hui-Xin; Jiang, Shu-Yao; Shan, Hai-di; Chu, Min-yi; Lv, Qing; Yi, Zhenghui; Lui, Simon; Cheung, Eric F.C.; Chan, Raymond C.K.

doi:10.1080/13546805.2021.2014309

Cited by 4 publications

(2 citation statements)

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“…Third, we only used self-report online questionnaires and symptom scales. Future study should include behavioral tasks for profiling, such as the belief updating task (Hu et al, 2022). Other rigorous methods, such as neuroimaging paradigms, can also be used to elucidate putative neural substrates of different emotional subtypes.…”

Section: Discussionmentioning

confidence: 99%

Characterizing emotion profiles in non‐clinical population: A cluster analytical study

Wen

Zhang

et al. 2022

PsyCh Journal

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Emotion processing and beliefs about pleasure can influence the development and severity of depressive symptoms. This cluster analysis study aimed to profile a large sample of college students using pleasure experience, emotion expression and regulation as well as beliefs about pleasure. We also aimed to validate the resultant clusters in terms of depressive symptoms. A set of checklists capturing beliefs about pleasure and the three facets of emotion processing was administered to 1028 college students. A two-stage cluster analysis was used to analyze the profile of these emotional aspects in these college students. Our results showed that a three-cluster solution best fit the data. Cluster 1 (n = 536) was characterized by moderate levels of beliefs about pleasure, pleasure experience, emotion expression, and regulation; Cluster 2 (n = 402) was characterized by generally high levels of beliefs about pleasure, pleasure experience, emotion expression, and regulation; Cluster 3 (n = 90) was characterized by relatively low levels of beliefs about pleasure, pleasure experience, emotion expression, and regulation. The three clusters differed significantly in the severity of depressive symptoms. Our findings suggest the existence of three emotional subtypes, which may be useful in early detection of youth at risk of developing depression.

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Section: Discussionmentioning

confidence: 99%

Characterizing emotion profiles in non‐clinical population: A cluster analytical study

Wen

Zhang

et al. 2022

PsyCh Journal

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“…Cognitive biases affect several cognitive domains, including decision‐making/reasoning, attention, motivation, memory recall, and style of attribution of meaning (Beck et al., 2011). Increasing numbers of studies have been reporting cognitive biases that contribute to cognitive impairments in patients with schizophrenia, and cognitive bias and cognitive impairments appear to produce reciprocal deterioration and worsen disability (Frydecka et al., 2022; Hu et al., 2022; Navalón et al., 2021; Tang et al., 2022). Accordingly, assessing cognitive bias in patients with schizophrenia may enable the cognitive performance of patients with schizophrenia to be improved, thus improving their prognosis.…”

Section: Introductionmentioning

confidence: 99%

Validation of a modified Chinese‐language version of the Davos Assessment of Cognitive Biases Scale (MCL‐DACOBS) in a sample of Chinese patients with schizophrenia

Chen

Tian

et al. 2023

Brain and Behavior

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IntroductionThe Davos Assessment of Cognitive Biases Scale (DACOBS) is widely used to assess cognitive biases in patients who have schizophrenia. However, the lack of a modified Chinese‐language version of the DACOBS (MCL‐DACOBS) precludes Chinese schizophrenic patients from treatment aimed at normalizing cognitive biases, impacting their prognosis. Here, we aimed to produce a DACOBS for China and test the validity and reliability of the resultant MCL‐DACOBS.MethodsEighteen researchers collaborated to develop the MCL‐DACOBS: A total of 15 researchers modified and translated the English version of the DACOBS, 1 native‐English‐speaking researcher back‐translated the scale, and 2 Chinese sinologists localized and optimized the language of the MCL‐DACOBS. Forty‐two volunteers checked the scale items’ comprehensibility, and the two sinologists performed further localization and optimization based on their feedback. The final version of the MCL‐DACOBS used in this study was thus derived from the harmonized English‐language version of the scale. Confirmatory factor analyses (CFAs) were used to examine the best latent structure of the MCL‐DACOBS. Cronbach's α and intraclass correlation coefficients (ICCs) were used to check the reliability. The discriminative ability of the MCL‐DACOBS was assessed according to the area under the receiver operating characteristic curve.ResultsThe CFA showed that all items loaded onto factors with loadings >0.400. A two‐factor structure showed a good model fit (root mean square error of approximation = .018, Tucker–Lewis index = .978, comparative fit index = .984). Promax rotation demonstrated that each item had a high factor load (0.432–0.774). Cronbach's α coefficient and ICC for the MCL‐DOCABS were .965 and .957, respectively, indicating that the scale has ideal reliability.ConclusionThe MCL‐DACOBS has good validity and good reliability, and its psychometric properties indicate that it is a valid tool for measuring cognitive biases in Chinese patients with schizophrenia.

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Theories and models of negative symptoms in schizophrenia and clinical implications

2022

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Negative belief-updating bias for positive daily life events in individuals with schizophrenia and social anhedonia

Cited by 4 publications

References 44 publications

Characterizing emotion profiles in non‐clinical population: A cluster analytical study

Characterizing emotion profiles in non‐clinical population: A cluster analytical study

Validation of a modified Chinese‐language version of the Davos Assessment of Cognitive Biases Scale (MCL‐DACOBS) in a sample of Chinese patients with schizophrenia

Theories and models of negative symptoms in schizophrenia and clinical implications

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