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Metacognition essentially represents “thinking about thinking”, or the individual’s capacity to control and monitor their own cognitive processes. Metacognition impairment in schizophrenia represents a core feature of the disease, and, in the last fifteen years, the subject has evolved into a growing study area concentrating on a wide variety of pr...
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Context 1
... subcomponents that researchers studied varied from social cognition [13] to metamemory [16][17][18]. One of the notable interactions was the interaction between metacognition and work performance [19,20] (Table 1). Lysaker et al. showed that some aspects of social cognition are associated with metacognition. ...Citations
... For instance, the Feeling of knowing instrument or the Metamemory Inventory in Adulthood. The comparisons between groups of healthy subjects and patients with psychosis predominantly show a lower performance of the patient across the different measurement methods [20][21][22]. It also possible observe a significant correlation between the scores of these instruments and the degrees of severity in several symptomatologic domains and functional outcomes [22][23][24]. ...
... The comparisons between groups of healthy subjects and patients with psychosis predominantly show a lower performance of the patient across the different measurement methods [20][21][22]. It also possible observe a significant correlation between the scores of these instruments and the degrees of severity in several symptomatologic domains and functional outcomes [22][23][24]. ...
two-factor account has been proposed as an explanatory model for the formation and maintenance of delusions. The first factor refers to a neurocognitive process leading to a significant change in subjective experience; the second factor has been regarded as a failure in hypothesis evaluation characterized as an impairment of metacognitive ability. This study was focused on the assessment of metacognition in patients with schizophrenia. The aims of the study were to measure the overconfidence in metacognitive judgments through the prediction of word list recall; and to analyze the correlation between basic neurocognition: memory and executive function and metacognition through a metamemory test and the severity of psychotic symptoms. Method: 51 participants with diagnosis the of Schizophrenia were evaluated. The PANNS was used to assess the severity of psychiatric symptoms and the subtest of Metamemory included in the BANFE Battery was used
to evaluate overconfidence and underestimations errors, intrusion and perseverative response, and total volume of recall. Results. The strongest correlation are observed between overconfidence errors and the positive factor of the PANSS (r= 0.774, p <0.001). For the enter model in the multiple lineal regression (r=0.78, r2=0.61; F=24.57, p 0.001) the only significant predictor was overconfidence errors. Conclusion: Our results highlight the relevance of a metacognitive bias of overconfidence, strongly correlated with psychotic symptoms and support the hypothesis of metacognitive defects contributing to the failure to reject contradictory evidence. From our perspective, these findings align with current mechanistic models of schizophrenia that focus on the role of prefrontal cortex.
... Maladaptive metacognitions mistakenly regard the CAS as an effective coping style, resulting in a vicious cycle of ineffective self-regulation [16]. Over the last 40 years, metacognitions have been associated with several mental and psychological problems [17], such as obsessive-compulsive disorder, schizophrenia, addiction, anxiety, and depression [18][19][20]. ...
Background
Metacognitions about online gaming have been shown to be correlated with Internet Gaming Disorder (IGD). Knowledge of metacognitions about online gaming can help to understand IGD. The Metacognitions about Online Gaming Scale (MOGS) is a reliable and valid tool to measure specific metacognitions about online gaming in both adults and adolescents, which is lacking in China.
Objective
This study was conducted to assess the psychometric properties of the Chinese version of the MOGS (C-MOGS) and its relationship with IGD in the Chinese population.
Methods
A total of 772 Chinese individuals (age: mean 21.70, SD 8.81 years; age range: 13-57 years; 458/772, 59.3% male) completed a web-based questionnaire survey, including the C-MOGS and a battery of validated scales measuring IGD, gaming motives, depression, and anxiety.
Results
Through exploratory and confirmatory factor analyses, the 3-factor structure was confirmed to have adequate model fit and internal consistency reliability (Cronbach α≥.799, Guttman split-half coefficients≥0.754). Concurrent validity of the C-MOGS was supported by its correlations with IGD (P<.001), gaming motives (P<.001), depression (P<.001), and anxiety (P<.001). Furthermore, the incremental validity analysis showed that the C-MOGS predicted 13% of the variance in IGD while controlling for gender, age, weekly gaming hours, gaming motives, depression, and anxiety.
Conclusions
This study provides evidence that the psychometric properties of the C-MOGS are appropriate and emphasizes its positive association with IGD. The C-MOGS is a reliable and valid instrument for mental health workers to assess metacognitions about online gaming in the Chinese population.
