Predictors of clinical insight in first-episode psychosis: Different patterns in men and women.

BACKGROUND: We aimed to explore gender-related differences in the associations of insight impairment with clinical symptoms, metacognition, and social cognition in psychosis. METHODS: Regression analysis of several clinical insight dimensions was conducted on the data from 116 men and 56 women with first-episode psychosis. Various clinical symptoms and measures of metacognition and social cognition were entered as predictors. RESULTS: In both men and women, delusions emerged as a strong predictor of all insight dimensions, and verbal hallucinations as a strong predictor of symptom relabelling. In men, certain negative symptoms as well as self-certainty, lack of self-reflectiveness, impaired theory of mind, attributional biases, and a jumping-to-conclusions bias were additional predictors of poor insight, while good insight was associated with depression, anxiety, avolition, blunted affect, and impaired emotional recognition. In women, poor insight was associated with a self-serving/externalising bias, impaired emotional recognition, and attention disorders. CONCLUSIONS: Poor insight in first-episode psychosis is strongly linked to deficits in metacognition and social cognition, with marked differences between men and women with respect to the specific skills involved in the impairment. Meanwhile, good insight is linked to a variety of affective manifestations in men. These findings suggest new avenues for more targeted cognitive interventions to improve clinical insight in psychosis.

In the I of the beholder: an attempt to capture the implicit self-concept regarding psychopathy.

This article explores the implicit self-concept pertaining to psychopathy. Two online studies showed inconsistent results, with Study 1 (n = 243) suggesting that psychopathy is linked to an implicit self-concept marked by low empathy and Study 2 (n = 230) implying no such relationship. In a sample of offenders and community controls (Study 3a, n = 166), higher scores on the Psychopathy Checklist-Revised (PCL-R) were related to an implicit self-concept of being less rather than more antisocial, and the implicit self-concept showed incremental validity compared to the explicit self-concept. The retesting of an offender subsample (Study 3b, n = 47) yielded no evidence for temporal stability or convergent validity. The implicit self-concept of highly psychopathic individuals thus appears to vary, depending on the social context. Future studies should replicate these results in different samples, using additional external correlates.

Unskilled and unaware: second-order judgments increase with miscalibration for low performers.

Overestimation and miscalibration increase with a decrease in performance. This finding has been attributed to a common factor: participants' knowledge and skills about the task performed. Researchers proposed that the same knowledge and skills needed for performing well in a test are also required for accurately evaluating one's performance. Thus, when people lack knowledge about a topic they are tested on, they perform poorly and do not know they did so. This is a compelling explanation for why low performers overestimate themselves, but such increases in overconfidence can also be due to statistical artifacts. Therefore, whether overestimation indicates lack of awareness is debatable, and additional studies are needed to clarify this issue. The present study addressed this problem by investigating the extent to which students at different levels of performance know that their self-estimates are biased. We asked 653 college students to estimate their performance in an exam and subsequently rate how confident they were that their self-estimates were accurate. The latter judgment is known as second-order judgments (SOJs) because it is a judgment of a metacognitive judgment. We then looked at whether miscalibration predicts SOJs per quartile. The findings showed that the relationship between miscalibration and SOJs was negative for high performers and positive for low performers. Specifically, for low performers, the less calibrated their self-estimates were the more confident they were in their accuracy. This finding supports the claim that awareness of what one knows and does not know depends in part on how much one knows.

Insight and the Capacity to Refuse Treatment with Electroconvulsive Therapy.

All Australian jurisdictions have statutory provisions governing the use of electroconvulsive therapy. Cases in which the patient lacks insight into their psychotic illness and need for treatment and refuses to have ECT are particularly poignant. In Re ICO [2023] QMHC 1, the Queensland Mental Health Court considered whether a patient with a treatment-resistant psychotic illness had decision-making capacity to refuse ECT. The Court also considered whether the patient had been provided with an adequate explanation of the proposed treatment including the expected benefits, risks and adverse effects of ECT. As well as deciding whether ECT was appropriate in the circumstances, the Court considered whether there were alternative treatments including another trial of the oral antipsychotic clozapine. This article reviews issues relating to lack of insight in persons with psychotic illness and relevant considerations for determining capacity to decline ECT.

The correlation between cumulative burden of mental disorders and self-harm, shame, and insight in young female patients with schizophrenia.

This study delves into the correlation between the cumulative burden of mental disorders and self-harm, shame, and insight in young female patients with schizophrenia. A prospective randomized controlled study was used to recruit 62 female schizophrenia patients who met the recruitment conditions from January 2022 to December 2023. The participants were randomly divided into an experimental group (31 cases) and a control group (31 cases) using a computer-based random number distribution method. The experimental group underwent an 8-week Mindfulness-Based Cognitive Therapy (MBCT) intervention, while the control group received conventional treatment. Data was collected using the Modified EI-SHS scale, the Link's Stigma Scale (LSS), the Five-factor Mindfulness Scale (FFMQ), and the Self-awareness and Therapeutic Attitude Questionnaire (ITAQ) before and after the intervention. One-way ANOVA and repeated measure ANOVA were used to compare and analyze the two groups of data. The experimental group exhibited a significant reduction in EI-SHS and LSS scores (100.26 ± 11.48 vs. 88.35 ± 10.09, 112.81 ± 12.30 vs. 100.50 ± 13.52, p < 0.01), coupled with significant increase in FFMQ and ITAQ scores (113.77 ± 12.25 vs. 128.31 ± 14.09, 14.03 ± 4.18 vs. 17.30 ± 2.96, p < 0.01). A positive correlation was found between overall stigma scores and mood disorder scores (r = 0.379, P < 0.011). Correlation analysis revealed a negative correlation between mindfulness (self-awareness) and stigma (r = -0.128, P = 0.025). MBCT effectively reduced stigma in young women with schizophrenia and improved coping tendencies, cognitive status, and attitudes toward mental illness, ultimately reducing the cumulative burden of mental disorders and self-harm in these patients. Increased levels of mindfulness correspond to improved cognitive status and a more positive attitude toward treatment for mental illness. It is of great value to promote MBCT in female patients with schizophrenia.

Awareness of Social Functioning in People with Dementia and Its Association with Dementia Severity: Multi-Center Cross-Sectional Study.

Background: People with dementia commonly have impaired social functioning and may not recognize this. This lack of awareness may result in worse outcomes for the person and their family carers. Objective: We aimed to characterize awareness of social functioning in dementia and describe its association with dementia severity. Methods: Multi-center cross-sectional study of people aged >65 years with dementia and family informants recruited from Germany, Japan and the United Kingdom. We used the Social Functioning in Dementia (SF-DEM) scale, assessing "spending time with other people" (domain 1), "communicating with other people" (domain 2), and "sensitivity to other people" (domain 3), and calculated lack of awareness into social functioning as the discrepancy between patient and informant ratings. Results: 108 participants with dementia (50.9% women), mean age = 78.9 years, and mean MMSE score = 22.7. Patient and informant domain 1 ratings did not differ, but patient-rating was higher than carers for domain 2 (11.2 versus 10.1; p = 0.003) and domain 3 (9.7 versus 8.1; p < 0.001). Sixty people with dementia overestimated their overall social functioning, 30 underestimated, and 18 gave ratings congruent with their informant. Performance on the MMSE and its sub-domains was not associated with SF-DEM discrepancy score. Conclusions: We found that awareness of social functioning in dementia was a multidimensional concept, which varies according to subdomains of social functioning. Clinicians should help family members understand and adapt by explaining their relative with dementia's lack of awareness about aspects of their social functioning.

Cultivating insight and engagement: exploring the role of Trait Emotional Intelligence in Chinese art education.

Background: The present study focuses on the unique role of insight and Trait Emotional Intelligence in the realm of art education in China. Insight, traditionally associated with clinical outcomes such as mastering symptoms, developing adaptive behaviors, and enhancing quality of life, is newly contextualized in this study within the framework of art education. The expansion of insight research into areas like Social Psychology reflects its relevance beyond clinical settings, particularly in educational environments where creativity and emotional intelligence are pivotal. Aim: In Chinese art education, insight is crucial not just for personal growth but also for professional development, integrating the understanding of emotions, culture, and artistic expression. This study explores how Trait Emotional Intelligence fosters insight and engagement in art students, underscoring its transformative impact on their educational and professional journey in the art world. Methods: Using a sample of Chinese art education students at University level (N = 881), that answered a quantitative self-report questionnaire, statistical procedures are applied to test the relationships between Trait Emotional Intelligence, Insight orientation, and students' academic engagement. Results: In the structural model, the path from Trait Emotional Intelligence to Insight Orientation was significant, indicating a positive relationship. Students' Engagement was significantly predicted by Insight Orientation and Trait Emotional Intelligence. Implications: This finding corroborates theoretical assertions that individuals with higher emotional intelligence are more inclined to have enhanced insight. The findings of the present study extend beyond the field of Art education, allowing us to provide a broad spectrum of social implications for Higher Education institutions.

Scaling a common assessment of associative ability: Development and validation of a multiple-choice compound remote associates task.

The assessment of creativity as an individual difference has historically focused on divergent thinking, which is increasingly viewed as involving the associative processes that are also understood to be a key component of creative potential. Research on associative processes has proliferated in many sub-fields, often using Compound Remote Associates (CRA) tasks with an open response format and relatively small participant samples. In the present work, we introduce a new format that is more amenable to large-scale data collection in survey designs, and present evidence for the reliability and validity of CRA measures in general using multiple large samples. Study 1 uses a large, representative dataset (N = 1,323,480) to demonstrate strong unidimensionality and internal consistency (α = .97; ωt = .87), as well as links to individual differences in temperament, cognitive ability, occupation, and job characteristics. Study 2 uses an undergraduate sample (N = 685) to validate the use of a multiple-choice format relative to the traditional approach. Study 3 uses a crowdsourced sample (N = 357) to demonstrate high test-retest reliability of the items (r =.74). Finally, Study 4 uses a sample that overlaps with Study 1 (N = 1,502,922) to provide item response theory (IRT) parameters for a large set of high-quality CRA items that use a multiple-choice response mode, thus facilitating their use in future research on creativity, insight, and related topics.

Multi-view graph-based interview representation to improve depression level estimation.

Depression is a serious mental illness that affects millions worldwide and consequently has attracted considerable research interest in recent years. Within the field of automated depression estimation, most researchers focus on neural network architectures while ignoring other research directions. Within this paper, we explore an alternate approach and study the impact of input representations on the learning ability of the models. In particular, we work with graph-based representations to highlight different aspects of input transcripts, both at the interview and corpus levels. We use sentence similarity graphs and keyword correlation graphs to exemplify the advantages of graphical representations over sequential models for binary classification problems within depression estimation. Additionally, we design multi-view architectures that split interview transcripts into question and answer views in order to take into account dialogue structure. Our experiments show the benefits of multi-view based graphical input encodings over sequential models and provide new state-of-the-art results for binary classification on the gold standard DAIC-WOZ dataset. Further analysis establishes our method as a means for generating meaningful insights and visual summaries of interview transcripts that can be used by medical professionals.

Factors influencing the level of insight and treatment attitude: a cross-sectional study of 141 elderly patients of major depression in Guangzhou, China.

Objective: To explore the insight, treatment attitude, and related influencing factors of hospitalized elderly patients suffering from major depression. Methods: A total of 141 hospitalized elderly patients with depression were selected as the research objects. Insight was evaluated by the total score of the Insight and Treatment Attitude questionnaire (ITAQ). The data collected included sociodemographic characteristics, psychiatric symptoms, delirium status, social functioning, social support, suicide risk, and cognitive function. Results: The sample included 74.5% of female patients, and the mean age was 67.53 (sd=7.19) years. The influencing factors of inpatients with depression included alcohol consumption, length of hospitalization, admission types, and the main caregivers (P<0.05). The various factors were further analyzed by linear regression, revealing that the insight and treatment attitude of elderly depressed hospitalized patients were mainly related to the Mini-Mental State Examination (MMSE) (ß= 0.225, 95% CI 0.055-0.395, P=0.01), dependent on a caregiver (ß=-5.810, 95% CI -8.086~-3.535, P<0.001), the type of admission (involuntary admission) (ß=-3.365, 95% CI -5.448~-1.283, P=0.002), Functional Activities Questionnaire (FAQ) (ß=-0.156, 95% CI -0.303~-0.010, P=0.037), and length of stay (≤28 days) (ß=2.272, 95% CI 0.055~-4.489, P=0.045). Conclusion: The level of insight was affected by cognitive function, involuntary admission, dependent on a caregiver, social function and length of stay. Future studies should focus on cognitive function recovery, observation of admission mode, and self-care ability in elderly patients with depression.

A randomized controlled trial of an acceptance-based, insight-inducing medication adherence therapy (AIM-AT) for adults with early-stage psychosis.

This study aimed to test the effectiveness of an acceptance-based medication adherence intervention for people with early-stage psychosis. An assessor-blind, three-arm randomized controlled trial design was used. One hundred and twenty-six participants who were adults with ≤3 years of psychosis were recruited from four district Integrated Community Centers for Mental Wellness in Hong Kong. They were randomly assigned to receive a 10-session acceptance-based, insight-inducing medication adherence therapy (AIM-AT) intervention, a conventional psychoeducation group program, or usual treatment (n = 42 per group). Primary outcomes were medication adherence and insight into the illness/treatment. All study outcomes were measured at recruitment and immediately, 6 months, and 12 months post-intervention. Participants in the AIM-AT experienced statistically significant improvements in the primary outcomes (levels of medication adherence and insight into illness/treatment), when compared to those in the other two groups over the 12-month follow-ups. The AIM-AT group also had significantly greater improvements in psychotic symptoms, psychosocial functioning, service satisfaction, length of rehospitalization, and total number of patients hospitalized over the follow-up period. These findings support the effectiveness of the AIM-AT to improve medication adherence, psychosocial health, and service satisfaction in people with early-stage psychosis.

Limited awareness of hallucinations in patients with Alzheimer's disease.

INTRODUCTION: We investigated the degree of cognitive insight in patients with Alzheimer's Disease (AD) regarding their hallucinations, aiming to elucidate the subjective experiences and perceptions associated with this phenomenon. METHODS: Using a cross-sectional design, we invited both AD patients (n = 31) and their informants to evaluate the occurrence of hallucinations. Degree of cognitive insight was based upon the discrepancy between the patients' and informants' evaluations. RESULTS: Analysis demonstrated that AD patients rated the occurrence of hallucinations lower than their informants, indicating that patients tended to underestimate the frequency of their hallucinations. The discrepancy between the ratings of patients and informants was negatively correlated with cognitive functioning, suggesting that a greater discrepancy (indicating poorer insight) was associated with lower cognitive functioning in patients. DISCUSSION: Our findings highlight the deficits in insight into hallucinations among AD patients, specifically indicating that AD patients have limited awareness of their own hallucinations. Furthermore, our findings support the idea that deficits in insight into hallucinations are associated with the progression of AD.

Surprise!-Clarifying the link between insight and prediction error.

The AHA experience, a moment of deep understanding during insightful problem-solving involving feelings of certainty, pleasure, and surprise, has captivated psychologists for more than a century. Recently, a new theoretical framework has proposed a link between the AHA experience and prediction error (PE), a popular concept in decision-making and reinforcement learning. This framework suggests that participants maintain a meta-cognitive prediction about the time it takes to solve a problem and the AHA experience arises when the problem is solved earlier than expected, resulting in a meta-cognitive PE. In our preregistered online study, we delved deeper into this idea, investigating whether prediction errors also pertain to participants' predictions regarding the solvability of the problem itself, and which dimension of the AHA experience aligns with the meta-cognitive PE. Utilizing verbal insight problems, we found a positive association between the AHA experience and the meta-cognitive PE, specifically in regards to problem solvability. Specifically, the element of surprise, a critical AHA dimension, emerged as a key indicator of the meta-cognitive PE, while other dimensions-such as pleasure, certainty, and suddenness-showed no signs for similar relationships, with suddenness exhibiting a negative correlation with meta-cognitive PE. This new finding provides further evidence that aspects of the AHA experience, surprise in particular, correspond to a meta-cognitive PE. The finding also underscores the multifaceted nature of this phenomenon, linking insights with learning theories and enhancing our understanding of this intriguing phenomenon.

The Mediating Role of Anxiety/Depression Between Auditory Verbal Hallucinations and the Level of Insight in Schizophrenia.

OBJECTIVE: Auditory verbal hallucination (AVH) is a prominent symptom of schizophrenia causing profound distress. The influence of AVHs on insight appears to be intricate and contingent on other accompanying symptoms. This study investigated the relationship and possible mediators between AVHs and the degree of insight. METHODS: One hundred patients with schizophrenia participated in the study. Scales were used to evaluate the hallucinatory experience, the level of insight and other psychopathology. Complex relationships between variables were envisaged as a path model, whose initial structure was constructed via Gaussian Graphical Model. The validity of the final model was verified by Structural Equation Modeling. Separate analyses were performed for self-reported and clinician-rated data to enhance the model's robustness. RESULTS: The greater the severity of the physical aspects of AVHs, the lower the level of insight observed. Conversely, higher emotional distress was associated with increased insight. These relationships were only evident in the self-reported results and were not reflected in the clinician-rated results. The path model suggested that the Positive and Negative Syndrome Scale (PANSS) anxiety/depression factor was an important mediator that linked the found association. Notably, the PANSS negative symptom had the opposite effect on the PANSS anxiety/depression factor and insight, making it difficult to define its overall effect. CONCLUSION: The findings of this study provided one possible route for the positive influence of AVH experience in gaining insight. The mediating role of anxiety/depression modified by negative symptoms emerged as a valuable concept for clarifying this intricate relationship.

Neurological soft signs as trait markers of a subset of patients with obsessive-compulsive disorder with low insight and altered cognitive abilities.

Neurological soft signs (NSS) are subtle motor control impairments that include involuntary movements and abnormalities of motor coordination, sensory integration and lateralization. They engage different brain networks, including the prefrontal networks that support the higher cognitive functions that are dysfunctional in obsessive-compulsive disorder (OCD). This study investigated the relationships between the presence of NSS and patients' severity of OCD symptoms, insight, and treatment resistance in a sample of 63 patients. Treatment-resistance was assessed considering all the treatments the patients received during the course of their disease. The four dimensions of OCD defined in the dimensional obsessive-compulsive scale were considered. Links between the patients' cognitive abilities and NSS were assessed using tests targeting specifically the core components of executive functions. As expected, OCD patients displayed more NSS than individually matched control participants. In OCD patients, high NSS scores were associated with poor insight and lower cognitive abilities. Multiple regression analysis identified worse visuospatial working memory, attentional control, and verbal fluency as predictive factors of high NSS scores among cognitive functions. Unexpectedly, the patients displaying symptoms in the contamination/washing dimension displayed less NSS than the other patients. In contrast, neither the severity of OCD symptoms nor long-range treatment resistance was significantly related to patients' NSS scores. Altogether, our findings suggest that high NSS scores may be a trait marker of a subset of OCD patients with low insight and particularly altered cognitive abilities who would not express the contamination/washing dimension of the pathology.

Neuropsychological profiles in first-episodes psychosis and their relationship with clinical, metacognition and social cognition variables.

An increasing interest in the assessment of neuropsychological performance variability in people with first-episode psychosis (FEP) has emerged. However, its association with clinical and functional outcomes requires further study. Furthermore, FEP neuropsychological subgroups have not been characterized by clinical insight or metacognition and social cognition domains. The aim of this exploratory study was to identify specific groups of patients with FEP based on neuropsychological variables and to compare their sociodemographic, clinical, metacognition and social cognition profiles. A sample of 149 FEP was recruited from adult mental health services. Neuropsychological performance was assessed by a neuropsychological battery (WAIS-III; TMT; WSCT; Stroop Test; TAVEC). The assessment also included sociodemographic characteristics, clinical, functional, metacognition and social cognition variables. Two distinct neuropsychological profiles emerged: one neuropsychological impaired cluster (N = 56) and one relatively intact cluster (N = 93). Significant differences were found between both profiles in terms of sociodemographic characteristics (age and level of education) (p = 0.001), clinical symptoms (negative, positive, disorganized, excitement and anxiety) (p = 0.041-0.001), clinical insight (p = 0.038-0.017), global functioning (p = 0.014), as well as in social cognition domains (emotional processing and theory of mind) (p = 0.001; p = 0.002). No significant differences were found in metacognitive variables (cognitive insight and 'jumping to conclusions' bias). Relationship between neurocognitive impairment, social cognition and metacognition deficits are discussed. Early identifying of neuropsychological profiles in FEP, characterized by significant differences in clinical and social cognition variables, could provide insight into the prognosis and guide the implementation of tailored early-intervention.