Outcome In Schizophrenia Research Articles

Cytokines and Madness: A Unifying Hypothesis of Schizophrenia Involving Interleukin-22

Schizophrenia is a severe neuropsychiatric illness of uncertain etiopathogenesis in which antipsychotic drugs can attenuate the symptoms, but patients rarely return to the premorbid level of functioning. In fact, with each relapse, people living with schizophrenia progress toward disability and cognitive impairment. Moreover, our patients desire to live normal lives, to manage their daily affairs independently, date, get married, and raise and support a family. Those of us who work daily with schizophrenia patients know that these objectives are rarely met despite the novel and allegedly improved dopamine blockers. We hypothesize that poor outcomes in schizophrenia reflect the gray matter volume reduction, which continues despite antipsychotic treatment. We hypothesize further that increased gut barrier permeability, due to dysfunctional aryl hydrocarbon receptor (AhR), downregulates the gut barrier protectors, brain-derived neurotrophic factor (BDNF), and interleukin-22 (IL-22), facilitating microbial translocation into the systemic circulation, eventually reaching the brain. Recombinant human IL-22 could ameliorate the outcome of schizophrenia by limiting bacterial translocation and by initiating tissue repair. This short review examines the signal transducer and transcription-three (STAT3)/AhR axis and downregulation of IL-22 and BDNF with subsequent increase in gut barrier permeability. Based on the hypothesis presented here, we discuss alternative schizophrenia interventions, including AhR antagonists, mitochondrial transplant, membrane lipid replacement, and recombinant human IL-22.

Association between treatment resistance and cognitive function in schizophrenia.

Treatment-resistant schizophrenia (TRS) affects around 30% of individuals with schizophrenia. About half of the patients with TRS who are treated with clozapine do not show a meaningful clinical response, that is, clozapine resistance. To date, the relationship between cognitive function and treatment response categories is not entirely clear. This study evaluated the cognitive performance across subgroups stratified by treatment response, and we hypothesised that cognitive impairment increases with increased treatment resistance. This study was conducted at the Institute of Mental Health, Singapore, and included healthy controls and people with schizophrenia categorised into these groups: antipsychotic-responsive schizophrenia (ARS), clozapine-responsive TRS (TRS-CR) and clozapine-resistant TRS (ultra-treatment-resistant schizophrenia [UTRS]). Cognitive function was assessed using the Brief Assessment of Cognition-Short Form. Symptoms were measured with the Positive and Negative Syndrome Scale (PANSS). The planned statistical analyses included adjustments for covariates such as age, sex, PANSS scores and antipsychotic dose, which might affect cognitive function. There were significant differences in overall cognitive performance between the groups: ARS had the least impairment, followed by TRS-CR and UTRS. Antipsychotic dose, and PANSS negative and disorganisation/cognitive factors were significant predictors of overall cognitive function in all patient groups. Our study found differences in cognitive function that aligned with levels of treatment resistance: the greater the degree of treatment resistance, the poorer the cognitive function. Interventions to improve negative and disorganisation symptoms might be effective to enhance the cognitive function and treatment outcomes in schizophrenia.

Sex-dependent association study of complement C4 gene with treatment-resistant schizophrenia and hospitalization frequency

The complement component 4 (C4) gene, codes for two isotypes, C4A and C4B, and can exist in long or short forms (C4L and C4S). The C4AL variant has been associated with elevated schizophrenia (SCZ) risk. Here, we investigated the relationship between C4 variation and clinical outcomes in SCZ. N = 434 adults with SCZ or schizoaffective disorder were included in this retrospective study. A three-step genotyping workflow was performed to determine C4 copy number variants. These variants were tested for association with clinical outcome measures, including treatment-resistant SCZ (TRS), number of hospitalizations (NOH), and symptom severity (PANSS). Sex and ancestry stratified analyses were performed. We observed a marginally significant association between C4S and TRS in males only, and a negative association between C4S and NOH in the total sample. C4AS had negative association with NOH in males and non-Europeans. Lastly, C4A copy numbers and C4A predicted brain expression showed negative association with NOH in males only. Our study provides further support for sex-specific effect of C4 on SCZ clinical outcomes, and also suggests that C4S and C4AS might have a protective effect against increased severity. C4 could potentially serve as a genetic biomarker in the future, however, more research is required.

Sensitivity of the familial high-risk approach for the prediction of future psychosis: a total population study.

Children who have a parent with a psychotic disorder present an increased risk of developing psychosis. It is unclear to date, however, what proportion of all psychosis cases in the population are captured by a familial high-risk for psychosis (FHR-P) approach. This is essential information for prevention research and health service planning, as it tells us the total proportion of psychosis cases that this high-risk approach would prevent if an effective intervention were developed. Through a prospective cohort study including all individuals born in Finland between January 1, 1987 and December 31, 1992, we examined the absolute risk and total proportion of psychosis cases captured by FHR-P and by a transdiagnostic familial risk approach (TDFR-P) based on parental inpatient hospitalization for any mental disorder. Outcomes of non-affective psychosis (ICD-10: F20-F29) and schizophrenia (ICD-10: F20) were identified in the index children up to December 31, 2016. Of the index children (N=368,937), 1.5% (N=5,544) met FHR-P criteria and 10.3% (N=38,040) met TDFR-P criteria. By the study endpoint, 1.9% (N=6,966) of the index children had been diagnosed with non-affective psychosis and 0.5% (N=1,846) with schizophrenia. In terms of sensitivity, of all non-affective psychosis cases in the index children, 5.2% (N=355) were captured by FHR-P and 20.6% (N=1,413) by TDFR-P approaches. The absolute risk of non-affective psychosis was 6.4% in those with FHR-P, and 3.7% in those with TDFR-P. There was notable variation in the sensitivity and total proportion of FHR-P and TDFR-P cases captured based on the age at which FHR-P/TDFR-P were determined. The absolute risk for psychosis, however, was relatively time invariant. These metrics are essential to inform intervention strategies for psychosis risk requiring pragmatic decision-making.

Psychological interventions for early-phase schizophrenia: protocol for a systematic review and network meta-analysis

Introduction Treating the early phase of schizophrenia is crucial for preventing further episodes and improving quality of life, functioning, and social inclusion. Pharmacotherapies are first-line treatments, but have limitations. There is consensus on the need for non-pharmacological interventions for individuals in the early phase of schizophrenia. Several psychological interventions have shown promising effects; however, their comparative effectiveness remains largely unknown. To address this issue, a network meta-analysis will be performed. We aim to develop a hierarchy of existing psychological treatments concerning their efficacy and tolerability, which will inform treatment guidelines. Protocol Randomized controlled trials (RCTs) investigating psychological interventions for first-episode psychosis, first-episode schizophrenia, or early phase schizophrenia will be included. The primary outcome will be overall schizophrenia symptoms (measured up to 6 and 12 months, and at the longest follow-up) and relapse as a co-primary outcome. Secondary outcomes are premature discontinuation; change in positive, negative, and depressive symptoms of schizophrenia; response; quality of life; overall functioning; satisfaction with care; adherence; adverse events; and mortality. The study selection and data extraction are performed by two independent reviewers. We will assess the risk of bias of each study using the Cochrane Risk of Bias tool 2 and evaluate the confidence in the results using Confidence in Network Meta-Analysis (CINeMA). Subgroup and sensitivity analyses will be conducted to explore heterogeneity and assess the robustness of our findings. Discussion This systematic review and network meta-analysis aims to compare multiple existing psychological interventions, establishing which are best for symptom reduction, relapse prevention, and other important outcomes in early phase schizophrenia. Our results may provide practical guidance concerning the most effective psychological intervention to reduce symptom severity and the societal burden associated with the disorder.

Dysfunction of the NMDA Receptor in the Pathophysiology of Schizophrenia and/or the Pathomechanisms of Treatment-Resistant Schizophrenia.

For several decades, the dopamine hypothesis contributed to the discovery of numerous typical and atypical antipsychotics and was the sole hypothesis for the pathophysiology of schizophrenia. However, neither typical nor atypical antipsychotics, other than clozapine, have been effective in addressing negative symptoms and cognitive impairments, which are indices for the prognostic and disability outcomes of schizophrenia. Following the development of atypical antipsychotics, the therapeutic targets for antipsychotics expanded beyond the blockade of dopamine D2 and serotonin 5-HT2A receptors to explore the partial agonism of the D2 receptor and the modulation of new targets, such as D3, 5-HT1A, 5-HT7, and metabotropic glutamate receptors. Despite these efforts, to date, psychiatry has not successfully developed antipsychotics with antipsychotic properties proven to be superior to those of clozapine. The glutamate hypothesis, another hypothesis regarding the pathophysiology/pathomechanism of schizophrenia, was proposed based on clinical findings that N-methyl-D-aspartate glutamate receptor (NMDAR) antagonists, such as phencyclidine and ketamine, induce schizophrenia-like psychotic episodes. Large-scale genome-wide association studies (GWASs) revealed that approximately 30% of the risk genes for schizophrenia (the total number was over one hundred) encode proteins associated with glutamatergic transmission. These findings supported the validation of the glutamate hypothesis, which was inspired by the clinical findings regarding NMDAR antagonists. Additionally, these clinical and genetic findings suggest that schizophrenia is possibly a syndrome with complicated pathomechanisms that are affected by multiple biological and genetic vulnerabilities. The glutamate hypothesis has been the most extensively investigated pathophysiology/pathomechanism hypothesis, other than the dopamine hypothesis. Studies have revealed the possibility that functional abnormalities of the NMDAR play important roles in the pathophysiology/pathomechanism of schizophrenia. However, no antipsychotics derived from the glutamatergic hypothesis have yet been approved for the treatment of schizophrenia or treatment-resistant schizophrenia. Considering the increasing evidence supporting the potential pro-cognitive effects of glutamatergic agents and the lack of sufficient medications to treat the cognitive impairments associated with schizophrenia, these previous setbacks cannot preclude research into potential novel glutamate modulators. Given this background, to emphasize the importance of the dysfunction of the NMDAR in the pathomechanism and/or pathophysiology of schizophrenia, this review introduces the increasing findings on the functional abnormalities in glutamatergic transmission associated with the NMDAR.

Ecological virtual reality-based cognitive remediation among inpatients with schizophrenia: A pilot study

Schizophrenia presents a considerable clinical challenge due to limited progress in promoting daily-life functioning among diagnosed individuals. Although cognitive remediation (CR) has emerged as a promising approach to improving cognitive and functional outcomes in schizophrenia, its effectiveness among inpatients and within hospital environments—where opportunities to practice skills in real-world contexts are limited—remains unclear. Here, we aimed to establish the feasibility and initial efficacy of a short, ecological virtual reality-based CR training (CR-EVR) in acute mental health inpatient settings. Efficacy was assessed at four levels: training engagement, near transfer, far transfer, and ecological transfer. Twenty-three inpatients with schizophrenia (Male: 33.3 ± 8.5; 4 Female) completed 8, 20-min CR-EVR sessions, with exercises training the cognitive abilities of inhibition, planning, working memory, shifting, self-initiation, persistence, and attention. Their cognitive functioning, schizophrenia symptoms, functional capacity, and participation in occupations were evaluated pre- and post-training to address four levels of effectiveness. Of the recruited participants, 25.8 % dropped out. Inpatients who completed the full protocol reported high rates of satisfaction (1-not satisfied; 5-very satisfied)) from the intervention (Median = 4, IQR:3.5–5). Post-training, significant improvements were found in the trained cognitive components (intervention engagement: −6.58 < t/Z < 2.02, p < .05), general cognitive functioning (−2.59 < t/Z < 2.29, p < .05), functional capacity (t = −2.9, p < .05), and diversity of participation in everyday activities (t = −3.36, p < .05). This preliminary study suggests that CR-EVR may be a feasible and practical tool to enhance cognitive and ecological outcomes in short-stay acute inpatient settings. Subject to further research, such intervention may be considered an add-on to current practices that promote recovery and health among inpatient populations.

The impact of COVID-19 public health measures on the utilization of antipsychotics in schizophrenia in Manitoba – A population-based study

PurposeDuring the COVID-19 pandemic, public health measures were implemented, yet it is unknown whether these measures affected medication access in those with schizophrenia (SCZ). This study aimed to assess whether the antipsychotic utilization in SCZ changed during the pandemic. MethodsWe used dispensed prescription drug data from the Canadian province of Manitoba in individuals with SCZ using linked administrative data from the Manitoba Population Research Data Repository. The quarterly incident and prevalent dispensation of antipsychotics at two periods were compared with the expected trend (April 1, 2015 to April 1, 2020 and 2021) using linear autoregression. We stratified the primary results by age and sex and examined multiple subgroups. ResultsThere were 9045 individuals with SCZ in the first fiscal quarter of 2020. The prevalent use of the most common antipsychotics were: olanzapine (206.7/1000), risperidone (190.8/1000), quetiapine (174.4/1000), and clozapine (100.9/1000). The overall prevalent use of antipsychotics remained stable during the pandemic compared with the expected trend. A significant decrease in the incident use in April–June 2020 (estimate: -1.3, 95%CI:-2.2,-0.3) was noted compared with the expected. A significantly higher incidence of atypical antipsychotics (estimate: 1.4, 95%CI: 0.2,2.5) and risperidone separately (estimate: 1.8, 95%CI: 0.2,3.3) was noted in 2021 compared with expected. ConclusionThis study found a decline in the receipt of antipsychotics for people with SCZ during the initial implementation of COVID-19 public health measures, particularly on the overall incidence. Future work on investigating the impact of these trends on SCZ outcomes is needed to inform future pandemic-related policies.

"Food for Thought": Improving Cognition in People With Schizophrenia.

We have known that cognitive difficulties are related to functional outcomes in schizophrenia for many years. However, we have only paid attention to potential treatments relatively recently, so implementation has been slow. This is a narrative review describing the development of cognitive remediation treatments to improve cognitive skills and their effects on functioning. It also reviews the types of cognitive remediation with some evidence on their effects. Models of treatment have now been clarified and have led to a landmark paper by cognitive remediation experts around the world on the ingredients of cognitive remediation to produce the most benefit. This expert judgement on good clinical practice was justified by a large meta-analysis that supported the extra benefit of the four ingredients: an active therapist, massed practice of cognitive skills, the teaching of cognitive strategies and additional rehabilitation to transfer skills to real life. Although there is evidence of efficacy and of the beneficial therapy ingredients there is little implementation of cognitive remediation, so the establishment of cognitive remediation into mental health services needs an implementation pathway.

White blood cell counts, ratios, and C-reactive protein among individuals with schizophrenia spectrum disorder and associations with long-term outcomes: a population-based study

BackgroundImmune mechanisms are associated with adverse outcomes in schizophrenia; however, the predictive value of various peripheral immune biomarkers has not been collectively investigated in a large cohort before. ObjectiveTo investigate how white blood cell (WBC) counts, ratios, and C-Reactive Protein (CRP) levels influence the long-term outcomes of individuals with schizophrenia spectrum disorder (SSD). MethodsWe identified all adults in the Central Denmark Region during 1994–2013 with a measurement of WBC counts and/or CRP at first diagnosis of SSD. WBC ratios were calculated, and both WBC counts and ratios were quartile-categorized (Q4 upper quartile). We followed these individuals from first diagnosis until outcome of interest (death, treatment resistance and psychiatric readmissions), emigration or December 31, 2016, using Cox regression analysis to estimate adjusted hazard ratios (aHRs). ResultsAmong 6,845 participants, 375 (5.5 %) died, 477 (6.9 %) exhibited treatment resistance, and 1470 (21.5 %) were readmitted during follow-up. Elevated baseline levels of leukocytes, neutrophils, monocytes, LLR, NLR, MLR, and CRP increased the risk of death, whereas higher levels of lymphocytes, platelets, and PLR were associated with lower risk. ROC analysis identified CRP as the strongest predictor for mortality (AUC=0.84). Moreover, elevated levels of leukocytes, neutrophils, monocytes, LLR, NLR and MLR were associated with treatment resistance. Lastly, higher platelet counts decreased the risk of psychiatric readmissions, while elevated LLR increased this risk. ConclusionsElevated levels of WBC counts, ratios, and CRP at the initial diagnosis of SSD are associated with mortality, with CRP demonstrating the highest predictive value. Additionally, certain WBC counts and ratios are associated with treatment resistance and psychiatric readmissions.

Circadian lighting effect for inpatients with schizophrenia: A prospective cohort study.

In schizophrenia, nonspecific lighting likely causes sleep timing disturbances, leading to distress and poorer clinical status. However, the effect of exposure to circadian lighting on psychopathology outcome in schizophrenia remains unknown. Hence, this study aimed to develop such an intervention and investigate its impact on schizophrenia. Twenty schizophrenia patients at a psychiatric nursing institute were monitored over 10weeks, with assessments using the Brief Psychiatric Rating Scale (BPRS) and Mini-Mental State Examination (MMSE) conducted at baseline, weeks 3 (T1), 7 (T2), and 10 (T3). Circadian lighting significantly improved BPRS scores between T1-T2 (p<.05) and T1-T3 (p<.001), with affectivity scores also showing significant enhancements postintervention. Notably, female participants exhibited substantial improvements in BPRS scores from T1 to T3 (p<.01), while male participants demonstrated significant gains in MMSE scores from T1 to T2 (p<.01). Circadian lighting presents a promising intervention for improving psychiatric outcomes in schizophrenia, with distinct benefits observed across different psychopathological aspects and genders. These findings underscore the potential of lighting chronotherapy in psychiatric clinical practice and warrant further exploration in related research.

Effect of Computer-Assisted Cognitive Remediation Therapy on Cognition among Patients with Schizophrenia: A Pilot Randomized Controlled Trial.

In schizophrenia, cognition is closely linked to social competence and influences long-term prognosis. Thus, treatment should target cognitive improvement to enhance the patient's societal adaptation. This study evaluated the effects of computer-assisted cognitive remediation therapy (CR) using RehaCom® on cognition in patients with schizophrenia. Thirty patients were randomized, with 15 assigned to the CR and treatment as usual (TAU) group and 15 to the TAU-alone group. Over 12 weeks, patients received CR twice weekly, including two computer sessions and one verbal session. The outcomes measured were cognition using the Brief Assessment of Cognition in Schizophrenia and Schizophrenia Cognition Rating Scale, intrinsic motivation using the Quality of Life Scale and Intrinsic Motivation Inventory, psychiatric symptoms using the Positive and Negative Syndrome Scale, negative symptoms using the Scale for the Assessment of Negative Symptoms, and functional level using the modified Global Assessment of Functioning scale for Functioning. The CR + TAU group demonstrated considerable improvements in cognition, intrinsic motivation, and functional level compared to the TAU-alone group. These findings indicate that the CR using RehaCom® enhances cognition and other outcomes in schizophrenia.

Genomic insights into the shared and distinct genetic architecture of cognitive function and schizophrenia

Cognitive impairment is a major determinant of functional outcomes in schizophrenia, however, understanding of the biological mechanisms underpinning cognitive dysfunction in the disorder remains incomplete. Here, we apply Genomic Structural Equation Modelling to identify latent cognitive factors capturing genetic liabilities to 12 cognitive traits measured in the UK Biobank. We identified three broad factors that underly the genetic correlations between the cognitive tests. We explore the overlap between latent cognitive factors, schizophrenia, and schizophrenia symptom dimensions using a complementary set of statistical approaches, applied to data from the latest schizophrenia genome-wide association study (Ncase = 53,386, Ncontrol = 77,258) and the Thematically Organised Psychosis study (Ncase = 306, Ncontrol = 1060). Global genetic correlations showed a significant moderate negative genetic correlation between each cognitive factor and schizophrenia. Local genetic correlations implicated unique genomic regions underlying the overlap between schizophrenia and each cognitive factor. We found substantial polygenic overlap between each cognitive factor and schizophrenia and biological annotation of the shared loci implicated gene-sets related to neurodevelopment and neuronal function. Lastly, we show that the common genetic determinants of the latent cognitive factors are not predictive of schizophrenia symptoms in the Norwegian Thematically Organized Psychosis cohort. Overall, these findings inform our understanding of cognitive function in schizophrenia by demonstrating important differences in the shared genetic architecture of schizophrenia and cognitive abilities.

Association between Brain-derived Neurotrophic Factor (BDNF) Val66Met polymorphism and Clinical Outcomes as Measured with PANSS Scale in Patients With Schizophrenia in Two Psychiatric Centres in East Java – Indonesia

Aim: The etiology of schizophrenia has been linked to complex interactions of genetic and environmental factors, and among them are genes that regulate BDNF (Brain-derived Neurotrophic Factor) expression. The BDNF has been linked to the pathophysiology of schizophrenia, particularly the Val66Met polymorphism. This study aims to assess BDNF Val66Met polymorphism and its role in positive and negative symptoms in patients with schizophrenia in East Java. Subjects and Methods: A total of 52 subjects with schizophrenia living in East Java were assessed for BDNF Val66Met polymorphism. The analysis was performed using Statistical the Social Sciences (SPSS) software version 22. Clinical assessment was conducted using the positive and negative syndrome scale (PANSS). Data were analyzed using linear regression multivariate analysis. Results: Our study found that Val/Met polymorphism is associated negatively with the total PANSS scores (beta coefficient = -12.299, p = 0.017). The Val/Val polymorphism is associated with negative symptoms (beta coefficient = 22.607, p = 0.043). The present study’s findings considered age, gender, education level, number of antipsychotics consumed, medication adherence, and duration of untreated psychosis. Conclusion: Val/Val polymorphism is associated with a higher PANSS total score. Val/Met genotype is associated with more severe positive symptoms, while the Val/Val genotype is associated with more negative symptoms. Further study with a larger and multicenter sample is needed to clarify further the relationship of BDNF polymorphism to clinical outcomes of schizophrenia.

Applications of MRI in Schizophrenia: Current Progress in Establishing Clinical Utility

Schizophrenia is a severe mental illness that significantly impacts the lives of affected individuals and with increasing mortality rates. Early detection and intervention are crucial for improving outcomes but the lack of validated biomarkers poses great challenges in such efforts. The use of magnetic resonance imaging (MRI) in schizophrenia enables the investigation of the disorder's etiological and neuropathological substrates in vivo. After decades of research, promising findings of MRI have been shown to aid in screening high‐risk individuals and predicting illness onset, and predicting symptoms and treatment outcomes of schizophrenia. The integration of machine learning and deep learning techniques makes it possible to develop intelligent diagnostic and prognostic tools with extracted or selected imaging features. In this review, we aimed to provide an overview of current progress and prospects in establishing clinical utility of MRI in schizophrenia. We first provided an overview of MRI findings of brain abnormalities that might underpin the symptoms or treatment response process in schizophrenia patients. Then, we summarized the ongoing efforts in the computer‐aided utility of MRI in schizophrenia and discussed the gap between MRI research findings and real‐world applications. Finally, promising pathways to promote clinical translation were provided.Evidence Level2Technical EfficacyStage 3

Psychological interventions for early-phase schizophrenia: protocol for a systematic review and network meta-analysis.

Treating the early phase of schizophrenia is crucial for preventing further episodes and improving quality of life, functioning, and social inclusion. Pharmacotherapies are first-line treatments, but have limitations. There is consensus on the need for non-pharmacological interventions for individuals in the early phase of schizophrenia. Several psychological interventions have shown promising effects; however, their comparative effectiveness remains largely unknown. To address this issue, a network meta-analysis will be performed. We aim to develop a hierarchy of existing psychological treatments concerning their efficacy and tolerability, which will inform treatment guidelines. Randomized controlled trials (RCTs) investigating psychological interventions for first-episode psychosis, first-episode schizophrenia, or early phase schizophrenia will be included. The primary outcome will be overall schizophrenia symptoms (measured up to 6 and 12 months, and at the longest follow-up) and relapse as a co-primary outcome. Secondary outcomes are premature discontinuation; change in positive, negative, and depressive symptoms of schizophrenia; response; quality of life; overall functioning; satisfaction with care; adherence; adverse events; and mortality. The study selection and data extraction are performed by two independent reviewers. We will assess the risk of bias of each study using the Cochrane Risk of Bias tool 2 and evaluate the confidence in the results using Confidence in Network Meta-Analysis (CINeMA). Subgroup and sensitivity analyses will be conducted to explore heterogeneity and assess the robustness of our findings. This systematic review and network meta-analysis aims to compare multiple existing psychological interventions, establishing which are best for symptom reduction, relapse prevention, and other important outcomes in early phase schizophrenia. Our results may provide practical guidance concerning the most effective psychological intervention to reduce symptom severity and the societal burden associated with the disorder.

Effects of web-based adapted physical activity on hippocampal plasticity, cardiorespiratory fitness, symptoms, and cardiometabolic markers in patients with schizophrenia: a randomized, controlled study.

Among the lifestyle interventions, the physical activity (PA) has emerged as an adjuvant non-pharmacological treatment improving mental and physical health in patients with schizophrenia (SZPs) and increasing the hippocampus (HCP) volume. Previously investigated PA programs have been face-to-face, and not necessary adapted to patients' physiological fitness. We propose an innovative 16-week adapted PA program delivered by real-time videoconferencing (e-APA), allowing SZPs to interact with a coach and to manage their physical condition. The primary goal was to demonstrate a greater increase of total HCP volumes in SZPs receiving e-APA compared to that observed in a controlled group. The secondary objectives were to demonstrate the greater effects of e-APA compared to a controlled group on HCP subfields, cardiorespiratory fitness, clinical symptoms, cognitive functions, and lipidic profile. Thirty-five SZPs were randomized to either e-APA or a controlled group receiving a health education program under the same conditions (e-HE). Variables were assessed at pre- and post-intervention time-points. The dropout rate was 11.4%. Compared to the e-HE group, the e-APA group did not have any effect on the HCP total volumes but increased the left subiculum volume. Also, the e-APA group significantly increased cardiorespiratory fitness (VO2max), improved lipidic profile and negative symptoms but not cognitive functions. This study demonstrated the high feasibility and multiple benefits of a remote e-APA program for SZPs. e-APA may increase brain plasticity and improve health outcomes in SZPs, supporting that PA should be an add-on therapeutic intervention. ClinicalTrial.gov on 25 august 2017 (NCT03261817).

Cognitive impairment and functional outcomes in schizophrenia: a narrative review

Cognitive impairment and functional outcomes in schizophrenia: a narrative review

Integrating Subjective Recovery and Stigma Resistance in Individuals with Schizophrenia: A Narrative Review and Theoretical Integration

Stigmatised attitudes are known to be associated with negative outcomes in schizophrenia, yet there is little focus on the role of stigma in the recovery process. Attempts to develop interventions to reduce self-stigma in schizophrenia have not been found effective. This paper presents a theoretical integration based on a narrative review of the literature. PsycINFO, Medline and Embase databases were searched up to the 11th December 2023. Studies were included if they were: i) empirical studies using qualitative, quantitative or mixed methods studies investigating mental health stigma; ii) included participants based in the United Kingdom, fluent in English, between the ages of 16 and 70, meeting criteria for a schizophrenia spectrum diagnosis. Fourteen studies were included. In Part 1, we propose a novel theoretical model derived from a synthesis of service-user perspectives on the relationship between stigma and schizophrenia. Stigmatised attitudes were commonly perceived to be caused by a lack of education and further exacerbated by disinformation primarily through the media and cultural communities. Stigma led to negative self-perceptions, negative emotional responses, social isolation and increased symptom severity, ultimately acting as a barrier to recovery. In Part 2, we identify several factors that ameliorate the impact of stigma and promote clinical and subjective recovery among service-users: education, empowerment, self-efficacy, self-acceptance, hope and social support. We argue that the notion of stigma resistance may be helpful in developing new interventions aimed at promoting recovery in individuals with schizophrenia. Wider implications are discussed and recommendations for future research and practice are explored.

Socio-demographic characteristics of patients with negative and positive symptoms in schizophrenia

Schizophrenia is a severe mental disorder that leads to impaired social adaptation, interpersonal interaction, and disability. Negative symptoms are an integral part of schizophrenia. In the world psychiatric science and practice, there are still many questions about the typology of schizophrenia, the description of its clinical manifestations, first of all, the features of negative symptoms in schizophrenia. Psychiatrists of different countries draw attention to the fact that these descriptions do not always coincide. Socio-demographic factors can be considered as factors affecting the prognosis of the course and outcome of schizophrenia. In this regard, a comprehensive approach to the study of socio-demographic characteristics of patients with schizophrenia involves the study of the influence of social factors on the formation and course of schizophrenia and determines the relevance of this study. The purpose of the study was to determine the features of socio-demographic characteristics of patients with schizophrenia in order to improve diagnosis and create psycho-corrective measures. 252 patients with negative symptoms of schizophrenia and 79 patients with positive symptoms of schizophrenia were examined. During the research, a comprehensive approach was used, consisting in the use of clinical-psychopathological, clinical-anamnestic and statistical research methods. Socio-demographic features of patients with negative symptoms in schizophrenia were established, consisting in the predominance of women; patients aged 20-29 years; persons with special secondary education; divorced and single persons; patients busy with physical labor; average level of material wealth; very poor and poor living conditions. Socio-demographic characteristics of patients with positive symptoms in schizophrenia were outlined by the predominance of men; patients aged 30-49 years; persons with incomplete higher education and with higher education; divorced and single persons; patients with disabilities; with extremely low and low levels of material well-being and a satisfactory level of living conditions. The conducted research made it possible to draw conclusions that socio-demographic features of patients with negative and positive symptoms have their own specificity, which should be taken into account when diagnosing patients with schizophrenia.