The paradoxical role of insight in mental illness: The experience of stigma and shame in schizophrenia, mood disorders, and anxiety disorders

Experiencing Psychosis and Shame: A Systematic Review and Meta-analysis of the Strength and Patterns of Association

BACKGROUND AND HYPOTHESIS

Shame has been linked to the experience of psychosis, with implications for clinical outcomes, however, a meta-analysis of the relationship has not yet been conducted. This systematic review and meta-analysis aimed to examine the strength of the association between shame and psychosis, and any variations between clinical and non-clinical populations and shame type (internal vs external shame).

STUDY DESIGN

Searches were conducted in CINAHL, EMBASE, PsycInfo, PubMed, Scopus, and Web of Science from the inception of the e-databases until July 2023. For inclusion, studies reported a quantitative association between psychosis and shame, or data that could be used to identify a relationship. From 11 372 unique retrieved records, 40 articles met the inclusion criteria and 38 were included in the meta-analyses.

STUDY RESULTS

A significant large pooled estimate of the psychosis-shame association was identified (Zr = 0.36, [95% CI: 0.28, 0.44], P < .001), indicating that higher levels of shame were associated with greater severity of psychotic symptoms. The strength of the association was similar across clinical and non-clinical populations, however, differed by type of shame and psychosis symptom measured. External shame was strongly associated with paranoia suggesting possible confounding. Only a minority of studies met the highest quality criteria.

CONCLUSIONS

Shame is strongly associated with the severity of psychotic symptoms in clinical and non-clinical populations. Given the overlap with paranoia, measurement of external shame alone is not advised. Larger studies in clinical populations, with measures of a range of psychosis symptoms, are needed to better understand the relationship between shame and specific symptoms.

Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study

BACKGROUND

Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood disorders (MDs), a major determinant of the worldwide disease burden. However, collecting and annotating wearable data is resource intensive. Studies of this kind can thus typically afford to recruit only a few dozen patients. This constitutes one of the major obstacles to applying modern supervised machine learning techniques to MD detection.

OBJECTIVE

In this paper, we overcame this data bottleneck and advanced the detection of acute MD episodes from wearables' data on the back of recent advances in self-supervised learning (SSL). This approach leverages unlabeled data to learn representations during pretraining, subsequently exploited for a supervised task.

METHODS

We collected open access data sets recording with the Empatica E4 wristband spanning different, unrelated to MD monitoring, personal sensing tasks-from emotion recognition in Super Mario players to stress detection in undergraduates-and devised a preprocessing pipeline performing on-/off-body detection, sleep/wake detection, segmentation, and (optionally) feature extraction. With 161 E4-recorded subjects, we introduced E4SelfLearning, the largest-to-date open access collection, and its preprocessing pipeline. We developed a novel E4-tailored transformer (E4mer) architecture, serving as the blueprint for both SSL and fully supervised learning; we assessed whether and under which conditions self-supervised pretraining led to an improvement over fully supervised baselines (ie, the fully supervised E4mer and pre-deep learning algorithms) in detecting acute MD episodes from recording segments taken in 64 (n=32, 50%, acute, n=32, 50%, stable) patients.

RESULTS

SSL significantly outperformed fully supervised pipelines using either our novel E4mer or extreme gradient boosting (XGBoost): n=3353 (81.23%) against n=3110 (75.35%; E4mer) and n=2973 (72.02%; XGBoost) correctly classified recording segments from a total of 4128 segments. SSL performance was strongly associated with the specific surrogate task used for pretraining, as well as with unlabeled data availability.

CONCLUSIONS

We showed that SSL, a paradigm where a model is pretrained on unlabeled data with no need for human annotations before deployment on the supervised target task of interest, helps overcome the annotation bottleneck; the choice of the pretraining surrogate task and the size of unlabeled data for pretraining are key determinants of SSL success. We introduced E4mer, which can be used for SSL, and shared the E4SelfLearning collection, along with its preprocessing pipeline, which can foster and expedite future research into SSL for personal sensing.

User Experiences of CBT for Anxiety and Depression: A Qualitative Systematic Review and Meta-synthesis

Cognitive behavioural therapy (CBT) is an evidence-based treatment for anxiety and depression. It is important to determine the positive and negative aspects of CBT from the perspective of service users. However, there has been a lack of qualitative exploration into service user experiences of the therapy. This review aimed to address this gap by examining participants' experiences of CBT for anxiety and depression. Databases were searched and data were synthesised thematically. CBT was well-received by participants, though barriers to engagement were identified. CBT was often perceived as too difficult or demanding, as well as interventions being short and therefore superficial. Clinician qualities of being trustworthy, non-judgemental, and understanding appear to be significant contributors to client engagement and recovery. Findings support the delivery of in-depth clinician led CBT for anxiety and depression, as well as highlighting the need to review CBT delivery to better support service users.

Psychotherapeutic approaches: hopefully, globally effective

Many patients have lasting disorders due, for example, to excessive and chronic childhood stress. For these patients, certain psychotherapeutic approaches may be maximally effective, and this may be universally the case. This piece is intended to give providers optimal tools for reaching and helping these patients who, otherwise, may remain among those worst off. These interventions should enhance patients' trust, the quintessential precondition for enabling these patients to change. Specific interventions discussed include anticipating ambiguity and clarifying this before ambiguity occurs, therapists indicating that they will support patients' and families' wants over their own views, feeling and disclosing their emotions, validating patients' anger, laughing, going beyond usual limits, explaining why, asking before doing, discussing religion and ethics, and informing whenever this could be beneficial.

Network analysis of discrete emotional states measured via ecological momentary assessment in schizophrenia

Prior studies demonstrate that schizophrenia (SZ) is associated with abnormalities in positive and negative emotional experience that predict clinical presentation. However, it is unclear whether specific discrete emotions within the broader positive/negative categories are driving those symptom associations. Further, it is also unclear whether specific emotions contribute to symptoms in isolation or via networks of emotional states that dynamically interact across time. The current study used network analysis to evaluate temporally dynamic interactions among discrete emotional states experienced in the real world as assessed via Ecological Momentary Assessment (EMA). Participants included 46 outpatients with chronic SZ and 52 demographically matched healthy controls (CN) who completed 6 days of EMA that captured reports of emotional experience and symptoms derived from monetary surveys and geolocation based symptom markers of mobility and home location. Results indicated that less dense emotion networks were associated with greater severity of negative symptoms, whereas more dense emotion networks were associated with more severe positive symptoms and mania. Additionally, SZ evidenced greater centrality for shame, which was associated with greater severity of positive symptoms. These findings suggest that positive and negative symptoms are associated with distinct profiles of temporally dynamic and interactive emotion networks in SZ. Findings have implications for adapting psychosocial therapies to target specific discrete emotional states in the treatment of positive versus negative symptoms.

Approaches to Medication Administration in Patients With Lack of Insight

Lack of insight typically complicates psychiatric presentations, necessitating careful thought and planning to choose the best course of treatment. Exploring methods of medication administration techniques in the context of a lack of insight is crucial to achieving the ultimate goal of overcoming the insight barrier as rapidly as possible, which will result in therapeutic benefit. This study's objective was to systematically review the evidence on medication administration techniques in a backdrop of lack of insight and how that evidence was curated in the scientific literature. This study used the literature search strategy, which entails retrieving and analyzing the existing scientific literature pertinent to medication administration techniques for individuals with no insight between 2010 and 2022. Accessing online databases, such as PubMed, Google Scholar, and Medline was utilized in this study's literature search strategy. In our findings, in the primary evidence search, no randomized control trial (RCT) comparing the various models of medication administration with a lack of insight was found. No study provided data on the superiority of utility, quality of life, or efficacy outcome. Some 17 scientific papers were identified that cited various trials about lack of insight and medication use and met the inclusion criteria. We concluded that it could be challenging to administer medication to patients who lack insight.

Nonetheless, progress has been made to mitigate this obstacle. Common moral values, common sense, medicolegal support, person-centered integrated care, and cutting-edge medication techniques may play a role. However, these models of medication administration are still evolving, along with the ethical concerns accompanying them. Hopefully, the available models discussed in this analysis will serve as a foundation for future developments. Nonetheless, much remains to be done. We encourage contemporary research to investigate safer and more dynamic methods that can alleviate this condition.

Psychopathology and Poor Clinical Insight in Psychotic Patients: Does the Diagnosis Matter?

ABSTRACT

Poor clinical insight is one of the most common features of schizophrenia spectrum disorders and plays a critical role in prognosis and treatment. Considering the biological and phenomenological overlap between schizophrenia and bipolar I disorder with psychotic features (BID) and increasing incidents of methamphetamine-induced psychotic disorder (MIPD) patients in Iran, it is necessary to have a clear picture of insight among these three groups. The aim of the present study was to compare clinical insight and other aspects of illness among three different disorders: schizophrenia, BID, and MIPD. In addition, we sought to examine the relationship of the severity of psychotic symptoms with clinical insight in each group. A total of 115 male inpatients, including 48 persons diagnosed with schizophrenia, 35 persons diagnosed with BID, and 32 persons diagnosed with MIPD, were selected. All participants completed the Scale to Assess Unawareness of Mental Disorder and the Positive and Negative Syndrome Scale. The results of analysis of variance indicated that schizophrenia patients reported higher rates of illness duration and number of hospital admissions in comparison to the MIPD and BID groups. In addition, persons diagnosed with BID reported more of these outcomes than MIPD groups. However, the three groups showed similar patterns in terms of age of onset and educational, marital, and occupational statuses. The results also revealed that awareness of the disorder was more impaired in schizophrenia patients compared with BID and MIPD patients and in MIPD compared with BID groups. However, the level of awareness of the effect of medication, the awareness of social consequences, and the total score of clinical insight were similar across the three diagnostic groups. As expected, poor clinical insight was correlated with high levels of positive, negative, and cognitive symptoms in the schizophrenia group; with high levels of positive, cognitive, and depressive symptoms in the BID group; and with high levels of positive and excitement symptoms in MIPD. In addition, hierarchical linear regression analyses revealed that only cognitive symptoms in the schizophrenia group and excitement symptoms in the MIPD group significantly predicted the overall score of clinical insight. In the BID group, both cognitive and depressive symptoms significantly predicted clinical insight. These findings suggest that there are differing levels of poor clinical insight in schizophrenia, MIPD, and BID and that poor clinical insight found within each group may have different antecedents.

An Update on Clinical Insight, Cognitive Insight, and Introspective Accuracy in Schizophrenia-Spectrum Disorders: Symptoms, Cognition, and Treatment

INTRODUCTION

Poor insight, or unawareness of morbid changes in cognition, emotional states, or behavior, is commonly observed among people with schizophrenia. Poor insight represents a persistent barrier to wellness because it interferes with treatment and self-direction. Paradoxically, good insight may also be a barrier to health when awareness of these changes leads to depression or self-stigma.

AREAS COVERED

This paper builds upon this previous work by exploring these issues in schizophrenia separately as they have appeared in published research over the last three years in three different kinds of insight: clinical, cognition, and introspective accuracy. Specifically, studies are reviewed that address: the adverse effects of poor insight, the paradoxical effects of good insight, correlates with other forms of cognition, and emerging treatments.

EXPERT OPINION

The evidence continues to offer a nuanced picture of the complex effects of good insight in schizophrenia. Incremental improvements were also found in the development of novel integrative treatment approaches. This work also highlights the intricacy of the concept of insight, the need for further exploration of the effects of culture, and conceptual work that distinguishes the points of convergence and divergence of these forms of insight.

DIALOGIA E INSIGHT: NARRATIVAS DE PAIS E FILHOS SOBRE O TRANSTORNO DE ASPERGER

Resumo O presente estudo objetivou investigar os processos de insight em sujeitos com Transtorno de Asperger (TA). Entende-se por insight o conhecimento do próprio diagnóstico e os sentidos construídos a partir deste. O desenvolvimento doinsight é aqui compreendido não como função restrita à vida mental pessoal, mas como fenômeno intersubjetivo, forjado nas relações sociais. O arcabouço teórico que subsidia a presente pesquisa é a perspectiva genética de desenvolvimento avançada pela psicologia histórico-cultural. Para tanto, foram propostas a três díades de pais e adolescentes diagnosticados com TA duas tarefas de produção narrativa que investigaram aspectos relacionados às experiências Asperger. Os resultados sugerem que a característica central dos processos de insight no TA pode ser descrita como disrupção na transição do modo monológico para o modo dialógico de pensamento. Acredita-se que os resultados aqui encontrados contribuem para a compreensão da singularidade e eventicidade da existência e da experiência subjetiva.