Gender difference in association between clinical symptoms and alexithymia in chronic schizophrenia: A large sample study based on Chinese Han population.

BACKGROUND: Alexithymia, a prevalent social cognitive impairment in schizophrenia, remains insufficiently studied. Though some studies propose a link between alexithymia and clinical symptoms of schizophrenia, this connection lacks consistent confirmation. Additionally, there is limited research on gender difference in alexithymia among schizophrenia patients. To fill this gap, our study aimed to conduct a large-sample survey of Chinese Han patients with chronic schizophrenia to explore whether there are gender differences between clinical symptoms and alexithymia. METHODS: We obtained sociodemographic characteristics of 987 schizophrenia patients, measured their clinical symptoms using the Positive and Negative Syndrome Scale (PANSS), and assessed their self-reported alexithymia using the Toronto Alexithymia Scale (TAS-20). RESULTS: In patients with chronic schizophrenia, the prevalence of alexithymia did not differ between genders (male: 35.51 % vs. female: 26.91 %, P = 0.018). Correlation and linear regression analyses revealed that PANSS scores and TAS-20 scores were widely correlated in both male and female patients. In particular, multiple linear regression analysis showed that the TAS total score was positively correlated with negative symptoms and cognitive symptoms in male patients, while it was positively correlated with negative symptoms and depressive symptoms in female patients. CONCLUSION: Our study suggests that the prevalence of alexithymia in patients with chronic schizophrenia does not differ between genders. Negative symptoms are related to the TAS-20 total score in both male and female patients, while cognitive symptoms are only related to the TAS-20 total score in male patients, and depressive symptoms are only related to the TAS-20 total score in female patients.

Predictors of medication adherence in a large 1-year prospective cohort of individuals with schizophrenia: insights from the multicentric FACE-SZ dataset.

Schizophrenia is characterized by the most salient medication adherence problems among severe mental disorders, but limited prospective data are available to predict and improve adherence in this population. This investigation aims to identify predictors of medication adherence over a 1-year period in a large national cohort using clustering analysis. Outpatients were recruited from ten Schizophrenia Expert Centers and were evaluated with a day-long standardized battery including clinician and patient-rated medication adherence measures. A two-step cluster analysis and multivariate logistic regression were conducted to identify medication adherence profiles based on the Medication Adherence rating Scale (MARS) and baseline predictors. A total of 485 participants were included in the study and medication adherence was significantly improved at the 1-year follow-up. Higher depressive scores, lower insight, history of suicide attempt, younger age and alcohol use disorder were all associated with poorer adherence at 1 year. Among the 203 patients with initially poor adherence, 86 (42%) switched to good adherence at the 1-year follow-up, whereas 117 patients (58%) remained poorly adherent. Targeting younger patients with low insight, history of suicide, alcohol use disorder and depressive disorders should be prioritized through literacy and educational therapy programs. Adherence is a construct that can vary considerably from year to year in schizophrenia, and therefore may be amenable to interventions for its improvement. However, caution is also warranted as nearly one in five patients with initially good adherence experienced worsened adherence 1 year later.

Receptor-Independent Therapies for Forensic Detainees with Schizophrenia-Dementia Comorbidity.

Forensic institutions throughout the world house patients with severe psychiatric illness and history of criminal violations. Improved medical care, hygiene, psychiatric treatment, and nutrition led to an unmatched longevity in this population, which previously lived, on average, 15 to 20 years shorter than the public at large. On the other hand, longevity has contributed to increased prevalence of age-related diseases, including neurodegenerative disorders, which complicate clinical management, increasing healthcare expenditures. Forensic institutions, originally intended for the treatment of younger individuals, are ill-equipped for the growing number of older offenders. Moreover, as antipsychotic drugs became available in 1950s and 1960s, we are observing the first generation of forensic detainees who have aged on dopamine-blocking agents. Although the consequences of long-term treatment with these agents are unclear, schizophrenia-associated gray matter loss may contribute to the development of early dementia. Taken together, increased lifespan and the subsequent cognitive deficit observed in long-term forensic institutions raise questions and dilemmas unencountered by the previous generations of clinicians. These include: does the presence of neurocognitive dysfunction justify antipsychotic dose reduction or discontinuation despite a lifelong history of schizophrenia and violent behavior? Should neurolipidomic interventions become the standard of care in elderly individuals with lifelong schizophrenia and dementia? Can patients with schizophrenia and dementia meet the Dusky standard to stand trial? Should neurocognitive disorders in the elderly with lifelong schizophrenia be treated differently than age-related neurodegeneration? In this article, we hypothesize that gray matter loss is the core symptom of schizophrenia which leads to dementia. We hypothesize further that strategies to delay or stop gray matter depletion would not only improve the schizophrenia sustained recovery, but also avert the development of major neurocognitive disorders in people living with schizophrenia. Based on this hypothesis, we suggest utilization of both receptor-dependent and independent therapeutics for chronic psychosis.

[MURDER STEMMING FROM INSANITY: DEMOGRAPHIC, CRIMINAL, PSYCHIATRIC AND FORENSIC CHARACTERISTICS OF THE PERPETRATORS].

INTRODUCTION: Violence among individuals with mental disorders and murder while in a psychotic state have been studied extensively worldwide. AIMS: To examine the socio-demographic, psychiatric, criminal, forensic and other characteristics of people who committed murder in Israel and were not prosecuted for reasons of insanity. This is the largest such study to date conducted in Israel. METHODS: The files (medical and legal documents) of all patients (N=80) hospitalized in the maximum-security division of Sha'ar Menashe Mental Health Center by court order following murder, were examined. RESULTS: Ninety percent of the participants were diagnosed with schizophrenia and 70% had prior psychiatric hospitalizations before committing murder. Most participants had documented substance abuse and previous violence stemming from mental disorders and did not regularly attend psychiatric follow-ups or take medication between hospitalizations. The motives were usually paranoid delusions. The victims were generally known to the killer, usually family members, and most perpetrators remained at the scene after the murder. CONCLUSIONS: Therapeutic sequence and preventive actions should be implemented in the treatment of this high-risk group. DISCUSSION: Findings delineate characteristics of homicide perpetrators stemming from mental disorders, from which a risk group may be described.

Urbanicity and psychotic disorders: Facts and hypotheses.

In the present qualitative literature review, we summarise data on psychotic disorders and urbanicity, focusing particularly on recent findings. Longitudinal studies of the impact of urbanicity on the risk for psychotic disorders have consistently shown a significant association, with a relative risk between 2 and 2.5. However, most of the original studies were conducted in Western Europe, and no incidence studies were conducted in low- and middle-income countries. European studies suggest that neighbourhood-level social fragmentation and social capital may partly explain this association. Exposure to air pollution (positive association) and green space (negative association) may also be part of the explanation, but to date, available data do not make it possible to conclude if they act independently from urbanicity, or as part of the effect of urbanicity on psychotic disorders. Finally, several studies have consistently shown significant associations between the polygenic risk score for schizophrenia and urbanicity, with several possible explanations (pleiotropic effects, results of prodromic symptoms, or selection/intergenerational hypothesis). Thus, more studies are needed to understand the factors that explain the association between urbanicity and the risk of psychotic disorders. Further studies should account for the interdependence and/or interactions of different psychosocial and physical exposures (as well as gene-environment interactions), and explore this association in low- and middle-income countries.

PREVALENCE AND PREDICTORS OF MEDICATION ADHERENCE AMONG PATIENTS WITH SCHIZOPHRENIA IN MAIDUGURI, NORTHEASTERN NIGERIA.

Introduction: Non-adherence to antipsychotic medication is a key factor to poor treatment outcome, frequent relapse, poor quality of life and increased economic burden of mental illness. Objective: To determine the prevalence and associated factors of medication adherence among patients with schizophrenia on antipsychotic medications. Methodology: Through a cross-sectional survey, two hundred and nine patients with schizophrenia on antipsychotic medications were recruited through a systematic random sampling to participate in the study. Data were collected using the Socio-demographic Questionnaire, Medication Adherence Rating Scale and Positive and Negative Symptoms Scale. Frequencies and percentages were used to compute categorical variables. Associations of socio-clinical variables with medication adherence were analyzed using chi-square and variables with significant association were subjected to logistic regression analysis to determine the independent predictor of medication adherence. Result: The prevalence of high, medium, and low medication adherence was 43.1%, 44%, and 12.9% respectively. Factors significantly associated with medication adherence at bivariate analysis were age (χ2=22.97; p=0.003), number of drugs (χ2=16.23; p=0.003), female gender (χ2=6.55; p=0.038), prolactin level ((χ2=14.93; p=0.021) and severity of illness (χ2=17.77; p=0.007). The independent predictors of high medication adherence were age (p=0.014), fewer number of drugs (p=0.006), and normal to mildly ill on PANSS scale (p=0.015). Conclusion: Non-adherence to antipsychotic medication was found among 56.9% of patients with schizophrenia. The findings of this study call for a proactive psychosocial counselling approach for mental health consumers and their caregivers.

Socioeconomic status and severe mental disorders: a bidirectional multivariable Mendelian randomisation study.

BACKGROUND: Despite the evidence supporting the relationship between socioeconomic status (SES) and severe mental disorders (SMD), the directionality of the associations between income or education and mental disorders is still poorly understood. OBJECTIVE: To investigate the potential bidirectional causal relationships between genetic liability to the two main components of SES (income and educational attainment (EA)) on three SMD: schizophrenia, bipolar disorder (BD) and depression. METHODS: We performed a bidirectional, two-sample univariable Mendelian randomisation (UVMR) and multivariable Mendelian randomisation (MVMR) study using SES phenotypes (income, n=397 751 and EA, n=766 345) and SMD (schizophrenia, n=127 906; BD, n=51 710 and depression, n=500 119) genome-wide association studies summary-statistics to dissect the potential direct associations of income and EA with SMD. FINDINGS: UVMR showed that genetic liability to higher income was associated with decreased risk of schizophrenia and depression, with a smaller reverse effect of schizophrenia and depression on income. Effects were comparable after adjusting for EA in the MVMR. UMVR showed bidirectional negative associations between genetic liability to EA and depression and positive associations between genetic liability to EA and BD, with no significant effects on schizophrenia. After accounting for income, MVMR showed a bidirectional positive direction between genetic liability to EA and BD and schizophrenia but not with depression. CONCLUSIONS: Our results suggest a heterogeneous link pattern between SES and SMD. We found a negative bidirectional association between genetic liability to income and the risk of schizophrenia and depression. On the contrary, we found a positive bidirectional relationship of genetic liability to EA with schizophrenia and BD, which only becomes apparent after adjusting for income in the case of schizophrenia. CLINICAL IMPLICATIONS: These findings shed light on the directional mechanisms between social determinants and mental disorders and suggest that income and EA should be studied separately in relation to mental illness.

Psychiatric Comorbidities and Schizophrenia in Youths With Attention-Deficit/Hyperactivity Disorder.

Importance: The association between attention-deficit/hyperactivity disorder (ADHD) and schizophrenia has received increased attention; however, evidence on the association between psychiatric comorbidities and subsequent schizophrenia in patients with ADHD is limited. Objective: To investigate the risk of being diagnosed with schizophrenia in children and adolescents with ADHD considering the presence of psychiatric comorbidity. Design, Setting, and Participants: This was a population-based, retrospective cohort study using the Health Insurance Review and Assessment claims database from January 1, 2007, to December 31, 2019. Participants were children and adolescents aged 5 to 19 years who received an ADHD diagnosis between January 1, 2010, and December 31, 2018, in the nationwide claims data of Korea. Data were analyzed from January 2010 to December 2019. Interventions or Exposures: The presence of psychiatric comorbidity was assessed from diagnosis records within 1 year before ADHD diagnosis. Comorbidities were further categorized according to the number of comorbidities and specific comorbid disorders. Main Outcomes and Measures: Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% CIs, examining the association between psychiatric comorbidities and the risk of being diagnosed with schizophrenia. Furthermore, the occurrence of psychiatric comorbidity during the follow-up period was explored among patients without psychiatric comorbidity at baseline. Results: A total of 211 705 patients with newly diagnosed ADHD were included. A total of 157 272 patients (74.3%) were male, and the age of 5 to 9 years showed the highest distribution (115 081 patients [54.4%]). Patients with psychiatric comorbidity had a significantly higher risk of being diagnosed with schizophrenia than those without (adjusted HR, 2.14; 95% CI, 2.05-2.23). The association between schizophrenia and psychiatric comorbidity became progressively greater with the increasing number of comorbidities. Several individual psychiatric disorders showed an association with development of schizophrenia, with ASD, intellectual disability, tic disorder, depression, and bipolar disorder being the top 5 disorders most associated. Furthermore, 3244 patients (73.8%) without psychiatric comorbidities experienced the emergence of other psychiatric disorders before schizophrenia occurrence. Conclusions and Relevance: In this retrospective cohort study involving children and adolescents with ADHD, the presence of psychiatric comorbidity in patients with ADHD was associated with an increased risk of being diagnosed with schizophrenia, with an increased risk observed in multiple comorbidities and a wide variety of comorbidities. These findings highlight the significance of assessing and managing psychiatric comorbidities in patients with ADHD to decrease subsequent schizophrenia risk and allow for early intervention.

The impact of genetic risk for schizophrenia on eating disorder clinical presentations.

A growing body of literature recognizes associations between eating disorders (EDs) and schizophrenia and suggests that familial liability to schizophrenia in individuals with anorexia nervosa (AN) reveals distinct patterns of clinical outcomes. To further investigate the influence of schizophrenia genetic liability among individuals with EDs, we evaluated the associations between schizophrenia polygenic risk scores (PRS) and clinical presentations of individuals with EDs including their overall health condition and ED-related symptoms. Using data from two previous studies of the genetics of EDs comprising 3,573 Anorexia Nervosa Genetics Initiative (ANGI) cases and 696 Binge Eating Genetics Initiative (BEGIN) cases born after 1973 and linked to the Swedish National Patient Register, we examined the association of schizophrenia PRS on ED clinical features, psychiatric comorbidities, and somatic and mental health burden. Among ANGI cases, higher schizophrenia PRS was statistically significantly associated with higher risk of major depressive disorder (MDD) measured by hazard ratio (HR) with 95% confidence interval (CI) (HR [95% CI]: 1.07 [1.02, 1.13]) and substance abuse disorder (SUD) (HR [95% CI]: 1.14 [1.03, 1.25]) after applying multiple testing correction. Additionally, higher schizophrenia PRS was associated with decreased clinical impairment assessment scores (-0.56, 95% CI: [-1.04, -0.08]) at the conventional significance level (p < 0.05). Further, in BEGIN cases, higher schizophrenia PRS was statistically significantly associated with earlier age at first ED symptom (-0.35 year, 95% CI: [-0.64, -0.06]), higher ED symptom scores (0.16, 95% CI: [0.04, 0.29]), higher risk of MDD (HR [95% CI]: 1.18 [1.04, 1.34]) and SUD (HR [95% CI]: 1.36 [1.07, 1.73]). Similar, but attenuated, patterns held in the subgroup of exclusively AN vs other eating disorder (OED) cases. These results suggest a similar pattern of influence of schizophrenia PRS for AN and OED cases in terms of psychiatric comorbidities, but a different pattern in terms of ED-related clinical features. The disparity of the effect of schizophrenia PRS on AN vs OED merits further investigation.

Health-related quality of life and associated factors among patients with schizophrenia at comprehensive specialised hospitals in the Northwest Ethiopia: a multicentre cross-sectional study.

OBJECTIVES: The aim of this study was to assess the health-related quality of life (HRQoL) and associated factors among patients with schizophrenia at comprehensive specialised hospitals in Northwest Ethiopia. DESIGN AND SETTING: A cross-sectional study was conducted among 422 patients with schizophrenia who were followed at comprehensive specialised hospitals in Northwest Ethiopia from 1 June to 30 August 2022. PARTICIPANTS: All adult patients with schizophrenia who had regular follow-up in the outpatient departments of the selected hospitals were study participants. MAIN OUTCOME MEASURES: The main outcome of this study was HRQoL which was measured using the WHO Quality of Life Scale-Bref Version. Data entry and analysis were done using Epi-data version 4.6.1 and SPSS version 24, respectively. Linear regression was used to assess the association between quality of life and independent variables. Variables with a p value <0.05 at a 95% CI were considered statistically significant. RESULTS: The mean score of the overall Quality of Life Scale-Brief Version was 22.42±3.60. No formal education (ß=-1.53; 95% CI: -2.80 to -0.27), duration of treatment (ß = -3.08; 95% CI: -4.71 to -1.45), comorbidity (ß=-1.14; 95% CI: -1.99 to -0.29), substance use (ß=-0.89; 95% CI: -1.56 to -0.23), extrapyramidal side effects (ß=-2.02; 95% CI: -2.90 to -1.14), non-adherence (ß=-0.83; 95% CI: -1.44 to -0.23), and antipsychotic polypharmacy (ß=-1.77; CI: -2.57 to -0.96) were negatively associated with quality of life. CONCLUSION AND RECOMMENDATION: In this study, the social domain was recorded as having the lowest mean score, which may indicate that patients with schizophrenia could need better psychosocial support. Patients with a longer duration of treatment, who had comorbid illnesses, were substance users, developed EPS, were non-adherent to medications and were on antipsychotic polypharmacy, needs critical follow-up to improve HRQoL.

Poverty and inequality in real-world schizophrenia: a national study.

Background: Schizophrenia has high socioeconomic impact among severe psychiatric disorders. Aims: To explore clinician-reported and patient-reported inequities between patients under the poverty threshold vs. the others. Method: 916 patients consecutively recruited in 10 national centers received a comprehensive standardized evaluation of illness severity, addictions and patient-reported outcomes. Results: 739 (80.7%) of the patients were classified in the poverty group. This group had poorer objective illness outcomes (lower positive, negative, cognitive, excitement/aggressive and self-neglect symptoms and lifetime history of planned suicide) in multivariate analyses. While they had similar access to treatments and psychotherapy, they had lower access to socially useful activities, couple's life, housing and parenthood. They had also more disturbed metabolic parameters. On the contrary, the poverty group reported better self-esteem. No significant difference for depression, risky health behavior including addictions and sedentary behavior was found. Interpretation: The equity in access to care is attributed to the French social system. However, mental and physical health remain poorer in these patients, and they still experience poor access to social roles independently of illness severity and despite healthcare interventions. These patients may have paradoxically better self-esteem due to decreased contact with society and therefore lower stigma exposure (especially at work). Schizophrenia presents itself as a distinct impoverished population concerning health-related outcomes and social integration, warranting focus in public health initiatives and improved treatment, including tailored interventions, collaborative care models, accessible mental health services, housing support, vocational training and employment support, community integration, education and awareness, research and data collection, culturally competent approaches, and long-term support.

[Prevalence rate and risk factor analysis of nonalcoholic fatty liver disease in 115 female patients with schizophrenia].

Objective: To investigate the incidence rate and risk factors of nonalcoholic fatty liver disease (NAFLD) in patients with schizophrenia (SCZ). Methods: The incidence rate of NAFLD in 115 females with SCZ over 40 years of age with complete clinical data was analyzed with the consent of the Ethics Committee of Nantong Fourth People's Hospital. A physical examination report of healthy subjects (n = 95, female, age 40 years old or older) was taken as the control group. Natural language processing technology was used to extract relevant data from the patient's electronic medical record system. Body mass index, alanine aminotransferase, triglycerides, low-density lipoprotein, leptin, and adiponectin were used to establish a human NAFLD-related model. Logistic regression analysis was used to evaluate the psychiatric symptoms, and physiological and biochemical indexes for the predictive value of NAFLD in female patients with SCZ. Results: The prevalence of NAFLD was significantly higher in the SCZ group (55.7%, 64/115) than that in the control group (26.3%, 25/95) (χ (2) = 18.335, P < 0.001). The prediction model showed that age, alanine aminotransferase, triglycerides, low-density lipoprotein, leptin, adiponectin, and body mass index were significantly correlated with NAFLD in females with SCZ. In the natural language processing search language model, arousal intensity (movements: uncontrolled running behavior) and emotional apathy were strongly linked to female patients with SCZ with NAFLD. Age, alanine aminotransferase, triglycerides, low-density lipoprotein, leptin, and body mass index were risk factors for SCZ to develop NAFLD, and adiponectin levels and uncontrolled running behavior were protective factors. Conclusion: The incidence rate of NAFLD is high in middle-aged and elderly females with SCZ. Natural language processing can help to automatically identify the risk factors for SCZ combined with NAFLD and has predictive and auxiliary diagnostic value.

Autistic symptoms in unaffected first-degree relatives of people with schizophrenia: results from the Italian Network for Research on Psychoses multicenter study.

BACKGROUND: Autistic symptoms represent a frequent feature in schizophrenia spectrum disorders (SSD). However, the prevalence and the cognitive and functional correlates of autistic symptoms in unaffected first-degree relatives of people with SSD remain to be assessed. METHODS: A total of 342 unaffected first-degree relatives related to 247 outpatients with schizophrenia were recruited as part of the multicenter study of the Italian Network for Research on Psychoses (NIRP). Autistic features were measured with the PANSS Autism Severity Scale. Three groups of participants, defined on the presence and severity of autistic symptoms, were compared on a wide array of cognitive and functional measures. RESULTS: Of the total sample, 44.9% presented autistic symptoms; 22.8% showed moderate levels of autistic symptoms, which can be observed in the majority of people with SSD. Participants with higher levels of autistic symptoms showed worse performance on Working Memory (p = 0.014) and Social Cognition (p = 0.025) domains and in the Global Cognition composite score (p = 0.008), as well as worse on functional capacity (p = 0.001), global psychosocial functioning (p < 0.001), real-world interpersonal relationships (p < 0.001), participation in community activities (p = 0.017), and work skills (p = 0.006). CONCLUSIONS: A high prevalence of autistic symptoms was observed in first-degree relatives of people with SSD. Autistic symptoms severity showed a negative correlation with cognitive performance and functional outcomes also in this population and may represent a diagnostic and treatment target of considerable scientific and clinical interest in both patients and their first-degree relatives.

The causal relationship of colorectal cancer on schizophrenia: A Mendelian randomization study.

Comorbidities associated with psychiatric disorders often occur in patients with cancer. A causal effect of schizophrenia on cancer was observed using Mendelian randomization (MR) analysis. However, the causal effect of colorectal cancer on schizophrenia has not been studied using MR analysis. Therefore, we performed MR analysis to investigate the causal effects of colorectal cancer on schizophrenia. We performed "two-sample summary-data Mendelian randomization" using publicly available genome-wide association studies data to investigate the causal relationship between colorectal cancer (as exposure) and schizophrenia (as outcome). The inverse variance weighted method was used to calculate causal estimates. In 2 TSMR analyses, we reported that the odds ratios for schizophrenia per log odds increase in colorectal cancer risk were 6.48 (95% confidential interval [CI] of OR 1.75-24.03; P = .005) and 9.62 × 106 (95% CI of OR 1.13-8.22 × 1013; P = .048). Pleiotropic tests and sensitivity analysis demonstrated minimal horizontal pleiotropy and robustness of the causal relationship. We provide evidence for a causal relationship between the incidence of colorectal cancer and the development of schizophrenia through TSMR analysis.

Duration of Involuntary Treatment in a Psychiatric Inpatient Unit: the experience of Umbria, Central Italy.

OBJECTIVES: The present retrospective study was aimed at analyzing the socio-demographic and clinical correlates of the duration of involuntary treatment (IT) in a Psychiatric Inpatient Unit in central Italy. SUBJECTS AND METHODS: We reviewed clinical charts of subjects admitted following IT, extracting sociodemographic and clinical information. We used the duration of the IT as a "proxy" for the early cessation of the conditions that determined the need for involuntary commitment. Hospitalizations were thus labeled as "short-IT" and "ultra-short-IT" depending on their duration (< 7 days or < 3 days). Bivariate analyses (p<0.05). were performed to compare "short-ITs" with hospitalizations that were longer that 7 days. The same procedure was repeated for comparing "ultra-short-ITs" with hospitalizations lasting >3 days. RESULTS: In the present sample (362 subjects, 459 hospitalizations), 112 (24.4%) hospitalizations belonged to the "short-IT" and 56 (12.2%) to the "ultra-short-IT" subgroups. Both subgroups were characterized by a lower prevalence of single marital status and by a higher prevalence of admissions due to psychomotor agitation. The diagnoses of schizophrenia spectrum and mood disorders were less frequent in the two subgroups, with lower antipsychotic prescription rates, while higher prevalence of substance-related and impulse control disorders were detected. Both hospitalization types were more frequently followed by a "revolving door". As for "short-IT", subjects were referred to the ward by community mental health services in fewer cases. CONCLUSIONS: The early cessation of IT is more frequent in case of subjects who do not suffer from a serious psychiatric disorder and are referred to the inpatient ward due behavioral disturbances. The engagement with community mental health services should be improved in order to propose possible alternative solutions to IT and avoid revolving doors.

Alexithymia in chronic schizophrenia and its mediating effect between cognitive deficits and negative symptoms.

BACKGROUND: Although cognition is known to impact clinical symptoms of schizophrenia, few studies investigate the potential mediators of this relationship. This study aimed to examine the relationship between cognitive deficits and negative symptoms in schizophrenia, considering the mediating role of alexithymia as an important psychological variable. Moreover, the prevalence of alexithymia in patients with schizophrenia was investigated. METHODS: A total of 689 patients with schizophrenia were recruited from two psychiatric hospitals. All patients completed the Positive and Negative Syndrome Scale (PANSS), 20-item Toronto Alexithymia Scale (TAS-20), and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). We used structural equation modeling to examine the hypothesized mediated model. RESULTS: In total, 31.5 % of patients with schizophrenia were classified as alexithymia. The path analyses showed that two factors of alexithymia (i.e., the difficulty in identifying feelings and difficulty in describing feelings), played a mediating role in the pathway from cognitive deficits to negative symptoms (all p < .001). LIMITATIONS: Self-reported measurement for alexithymia may not be sufficiently reliable due to response bias. CONCLUSION: Our findings demonstrated a high occurrence of alexithymia in patients with schizophrenia. Moreover, the mediating role of alexithymia suggests that targeting emotion processing and cognition may be a feasible way to mitigate negative symptoms.

The relationship between sleep and suicidality in schizophrenia spectrum and other psychotic disorders: A systematic review.

Individuals with Schizophrenia Spectrum Disorders (SSDs) have significantly higher rates of suicidal thoughts, attempts, and death by suicide in comparison to the general population. Sleep disturbances (reduced duration, timing and quality of sleep) are risk factors for suicidality in the general population, with research indicating the relationship is both immediate and accumulative. Sleep disturbances are also considered to be implicated in the onset and exacerbation of psychotic symptoms in SSDs. Reducing the risk of suicidality in SSDs remains an important public health priority, thus exploration of contributing risk factors is warranted. Sleep monitoring may also offer an adjunct risk monitoring method to suicidality assessments in SSDs, and a potential treatment target for psychotic symptoms. This review aimed to explore proximal and longitudinal relationships between self-reported and objectively measured sleep and suicidality in SSDs and other psychotic disorders. A comprehensive search of four databases was conducted. Eleven studies met the inclusion criteria (10 cross sectional and 1 longitudinal). Narrative synthesis indicated that self-reported sleep disturbances and sleep disorders (e.g. insomnia) were associated with increased risk of suicidal ideation and attempt. However, one study employing polysomnography did not find sleep to be associated with suicidality. Methodological limitations of the evidence base include: i) little experimental or longitudinal evidence, (ii) self-report and/or single item assessment of sleep disturbance, (iii) limited use of validated measures of suicidality, (iv) considerable research in long-term schizophrenia but sparse evidence in early psychosis. Future research should explore (i) cross-sectional and longitudinal relationships between specific aspects of suicidality and objective sleep parameters, (ii) use qualitative or mixed-methods designs to disentangle the nuances and bidirectionality in the sleep-suicide relationship, (iii) explore the psychological processes underpinning or mediating the sleep-suicide relationship in SSDs.

Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia.

BACKGROUND: People with schizophrenia often delay treatment. This issue is not fully understood, particularly in low-and middle-income countries. This study aimed to elucidate the prevalence, risk factors and multiple outcomes of treatment delay in schizophrenia in a Chinese metropolis. METHODS: A two-stage whole cluster sampling survey was conducted in Beijing, China in 2020. A total of 1,619 patients with schizophrenia were included. Heterogeneity between groups and the changing trend of treatment delay were presented. Regression modelling methods were used to examine both the risk factors for treatment delay and related outcomes at individual and family levels. RESULTS: The median treatment delay for schizophrenia was 89 days (about 13 weeks). 49.35% surveyed patients delayed treatment for more than three months. Early age of onset, low level of education, living in well developed districts were important risk factors. Treatment delay in schizophrenia was significantly associated with patients' poor medication adherence, comorbidity status and poor social functioning. It also increased the negative impact of the illness on families. CONCLUSIONS: This study accumulated evidence of treatment delay in schizophrenia in China. It occurs even in the metropolis where mental health resources are relatively adequate. Further targeted interventions to raise public awareness should be crucial to reduce treatment delay.

The transition to Schizophrenia spectrum disorder from a first psychotic episode that did or did not appear to be induced by substance use.

The first years following a first-episode psychosis (FEP) are crucial. This retrospective cohort study investigates the evolution of first-episode psychosis (FEP), including substance-induced psychosis (SIP), and explores factors influencing the diagnostic conversion to Schizophrenia or Schizophrenia Spectrum Disorders (SSD). Diagnoses of patients discharged from Basurto University Hospital's inpatient psychiatry unit between January 2002 and December 2016 were reviewed. Sociodemographic, clinical, and substance use data, including cannabinoids, opioids, amphetamines, cocaine, and alcohol, were collected. The analysis utilized descriptive statistics, Kaplan-Meier survival curves, and Cox regression. Among 341 patients, 64.8% were male, with a mean age of 33.8 years. Psychiatric family history was present in 33.4% of cases, and cannabis was the most commonly used substance (78.9%). Of the patients, 52.8% received subsequent diagnoses of Schizophrenia or SSD, with 86.9% of these cases occurring within the first five years. No significant differences were observed between patients diagnosed with SIP and other diagnoses in terms of sociodemographic, clinical characteristics, or progression to Schizophrenia or SSD. However, use of cannabis (compared to use of another substance or polysubstance use) was associated with a higher risk to conversion (HR 1.96; p = 0.001). These findings underscore the importance of addressing substance use and treatment adherence in FEP.

Attitudes toward COVID-19 pandemic measures and clinical symptom severity in schizophrenia patients: a preliminary cross-sectional study.

OBJECTIVES: The study aim was to compare clinical symptom severity and quality of life (QoL) among schizophrenia patients according to their attitudes toward pandemic measures and reported lockdown-related disruption. METHODS: Patients with schizophrenia attending follow-up sessions at two community mental health centers were included in this cross-sectional study. Sociodemographic and clinical characteristics of patients were assessed using a standardized form and the following psychometric instruments: the Positive and Negative Syndrome Scale, Brief Psychiatric Rating Scale, State-Trait Anxiety Inventory, Heinrich-Carpenter Quality of Life Scale and Clinical Global Impressions Ratings-Severity scale. Patients were grouped according to their attitudes toward pandemic measures (positive attitudes or non-positive attitudes). RESULTS: No significant differences were found in sociodemographic and clinical variables, clinical symptom severity or QoL between schizophrenia patients with positive attitudes and those without positive attitudes toward pandemic measures. Guilt feelings and trait anxiety levels were positively related to lockdown-related disruption. CONCLUSIONS: Positive attitudes toward pandemic measures may be affected by factors other than the sociodemographic and clinical status of schizophrenia patients. It is important that such factors are assessed in future studies to better manage pandemic-related challenges among schizophrenia patients.