Prevalence of metabolic syndrome according to the presence of negative symptoms in patients with schizophrenia

Outpatients with psychotic disorders need physical health-promoting treatment: A cross-sectional multisite study

Introduction

Impaired quality of life (QoL) and premature death in patients with primary non-affective psychotic disorders is related to lifestyle-induced comorbidities. Current municipal health-promoting treatment and care do not embrace the challenges of living with psychotic disorders.

Aim

This cross-sectional study aimed to identify the proportion of outpatients diagnosed with primary psychotic disorders who need health-promoting treatment and care, and who receive municipal health-promoting interventions.

Methods

Of 206 eligible invited outpatients from three psychiatric services clinics in Southern Denmark, 165 participated. Demographic and health characteristics, and use of alcohol, cannabis, drugs, and cigarettes were identified via a screening tool. Blood test information, body measurements, and medication status were extracted from the outpatients' medical records. The need for health promotion was assessed based on body mass index (BMI), and use of alcohol, cannabis, drugs, and cigarettes.

Results

Seventy-three percent of outpatients needed health promotion, of whom 61 % were not offered municipal health-promoting treatment and care. Thirty-six percent had one or more somatic comorbidities, including diabetes mellitus (15 %) and cardiovascular disease (10 %); 41 % smoked a mean (SD) of 19 (10) cigarettes daily. Mean (SD) BMI was 34 (8) kg/m2 for women and 29 (7) kg/m2 for men.

Conclusion

The majority of outpatients with non-affective psychotic disorders need health-promoting interventions, but only about 40 % of these patients receive such municipal health-promoting treatment and care. Future studies should clarify the impact of these interventions on the health status, QoL, and life expectancy of these patients.

Influence of antipsychotic medications on hyperlipidemia risk in patients with schizophrenia: evidence from a population-based cohort study and in vitro hepatic lipid homeostasis gene expression

Introduction

Schizophrenia increases the risk of mortality and cardiovascular disease (CVD) risk. However, the correlation between antipsychotics (APs) and CVD remains controversial. Hyperlipidemia is a significant risk factor for CVD.

Methods

We conducted a nationwide population-based retrospective cohort study to investigate the effects of APs on the risk of hyperlipidemia and lipid homeostasis gene expression. We used data from the Longitudinal Health Insurance Database of Taiwan on new-onset schizophrenia patients and a comparison cohort without schizophrenia. We used a Cox proportional hazards regression model to analyze the differences in hyperlipidemia development between the two cohorts. Furthermore, we examined the effects of APs on the hepatic expression of lipid homeostasis-related genes.

Results

After adjusting for potential interrelated confounding factors, the case group (N = 4,533) was found to have a higher hyperlipidemia risk than the control cohort (N = 4,533) [adjusted hazard ratio (aHR), 1.30, p < 0.001]. Patients with schizophrenia without APs had a significantly higher risk of hyperlipidemia (aHR, 2.16; p < 0.001). However, patients receiving APs had a significantly lower risk of hyperlipidemia than patients not receiving APs (all aHR ≤ 0.42, p < 0.001). First-generation antipsychotics (FGAs) induce the expression of hepatic lipid catabolism genes in an in vitro model.

Discussion

Patients with schizophrenia had a higher risk of hyperlipidemia than controls; however, compared with non-treated patients, AP users had a lower risk of hyperlipidemia. Early diagnosis and management of hyperlipidemia may help prevent CVD.

Schizotypy, Lifestyle Behaviors, and Health Indicators in a Young Adult Sample

Problematic lifestyle behaviors and high rates of physical illness are well documented in people with schizophrenia, contributing to premature mortality. Yet, there is a notable absence of research examining general lifestyle and health issues in participants at risk for psychosis. This form of research may help identify concerns that exist during prodromal periods related to future outcomes. Accordingly, the current study examined lifestyle and health in a nonclinical sample of 530 young adults with varying levels of schizotypy. Increasing symptom severity was associated with greater somatic symptoms and poorer sleep quality across positive, negative, and disorganized domains. Elevated negative and disorganized symptoms were associated with significantly reduced health-related quality of life, while evidence for reduced engagement in health behaviors was largely limited to those with elevated negative schizotypy. No relationships emerged between symptom presentation/severity and body mass index or substance use, although zero-order correlations suggested an association between disorganized schizotypy and nicotine use. The pattern of relationships in the current study was consistent with findings from the ultra-high risk and clinical literature suggesting that lifestyle and health concerns may exist on a continuum with psychosis. Future research should seek to clarify if these patterns are associated with long-term physical or mental health outcomes.

Serum Levels of HCY, MIF, and hs-CRP Correlate with Glycolipid Metabolism in Adults with Never-Medicated First-Episode Schizophrenia

Objective

It has been reported that the prevalence of metabolic syndrome (MS) in multiepisode patients with schizophrenia is 35.3%, which is 2- to 4-fold higher than in the general population. The study is designed to compare the glycolipid metabolism in patients with first-episode schizophrenia (FES) with sex- and age-matched healthy controls to investigate changes in serum levels of homocysteine (Hcy), macrophage migration inhibitory factor (MIF), and high-sensitive C-reactive protein (hs-CRP) and their relationships with the glycolipid metabolism in patients with FES.

Methods

His case-control study included 88 patients diagnosed with FES and 88 sex- and age-matched healthy controls. Patient psychopathology was assessed using the Positive and Negative Syndrome Scale (PANSS), Young Mania Rating Scale (YMRS), and 17-item Hamilton Rating Scale for Depression (HAMD-17). Patients with FES were classified into MS and non-MS groups.

Results

There were significant differences in the education level, body mass index (BMI), and waist circumference between the patients with FES and healthy controls (all p > 0.05). The patients with FES had higher levels of FPG and blood glucose at the oral glucose tolerance test (OGTT) (2 h glucose) concomitant with higher proportion of impaired glucose tolerance (IGT) and homeostasis model assessment of insulin resistance (HOMA2-IR) than healthy controls (all p < 0.001). It was revealed that the patients with FES showed higher serum levels of Hcy, MIF, and hs-CRP than healthy controls (all p < 0.001). The serum level of Hcy shared positive correlations with the score of PANSS totals (r = 0.551) and the negative syndrome of the PANSS scale (r = 0.494). The serum levels of MIF and hs-CRP was only positively correlated with the negative syndrome of the PANSS scale (r = 0.320 and r = 0.446). The level of Hcy shared positive correlations with the levels of FPG, 2 h glucose, and HOMA2-IR; the level of MIF was only positively correlated with the level of HOMA2-IR; the level of hs-CRP had a positive correlation with both levels of FPG and 2 h glucose (all p < 0.001). The levels of Hcy, MIF, and hs-CRP all shared positive correlations with the TG level and negative correlations with the HDL-C level (all p < 0.001). There were remarkable differences between the MS and non-MS groups with regard to BMI, waist circumference, negative subscale of the PANSS scale, FPG, TG, and HDL-C (all p < 0.05). Elevated levels of Hcy, MIF, and hs-CRP were detected in the MS group compared to the non-MS group (all p < 0.05).

Conclusion

These findings suggest that increased concentrations of HCY, MIF, and hs-CRP may contribute to the abnormal glycolipid metabolism in the context of schizophrenia.

Risk Factors of Metabolic Syndrome in Community-Dwelling People with Schizophrenia

This study investigated the prevalence and risk factors of metabolic syndrome in 100 community-dwelling people with schizophrenia registered in mental health facilities in Seoul, Korea. This study was conducted between 12 September and 15 November 2019. This study used a cross-sectional descriptive design. The data included were general and disease-related characteristics, diagnostic tests for metabolic syndrome, lifestyles, depression, and social support. The analysis of collected data was done by using the SPSS 24.0 program. The prevalence of metabolic syndrome was 42.0%. Higher body mass index (odds ratio [OR] = 1.60, 95% CI = 1.16–2.18, p = 0.004), and depression (OR = 1.22, 95% CI = 1.06–1.42, p = 0.008) were associated with higher risks of metabolic syndrome, while physical activity and weight control (OR = 0.71, 95% CI = 0.54–0.94, p = 0.018), dietary habits (OR = 0.72, 95% CI = 0.54–0.93, p = 0.011), and medication and health management (OR = 0.52, 95% CI = 0.31–0.86, p = 0.012) were associated with lower risks. Mental health care nurses need to recognize the high prevalence of metabolic syndrome in people with schizophrenia in the community and provide differentiated, customized lifestyle improvement programs based on the body mass index and depression status of each person with schizophrenia. Furthermore, comprehensive lifestyle improvement programs and health examination services that people with schizophrenia can easily adhere to should be developed.

Predictive Utility of Body Mass Index for Metabolic Syndrome Among Patients with Schizophrenia in Japan

BACKGROUND

Reliable and easy screening for metabolic syndrome (MetS) is important for patients with schizophrenia. The aim of this study was to assess the predictive utility of body mass index (BMI) for MetS among patients with schizophrenia in Japan.

METHODS

In total, 8468 patients (4705 males, 3763 females) with schizophrenia or schizoaffective disorders based on the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV), or the International Classification of Diseases, tenth revision (ICD-10), were assessed for MetS using the criteria of the National Cholesterol Education Program Adult Treatment Panel III (ATP III-A). We applied a stratum-specific likelihood ratio (SSLR) analysis, which is independent of the prevalence of the target disease.

RESULTS

The mean (± standard deviation) age of these patients was 57.4 ± 13.5 years. The prevalence of MetS was 20.4%. Among males, the SSLRs predicting MetS were 0.03 (95% CI 0.02-0.06), 0.54 (95% CI 0.48-0.60), 2.77 (95% CI 2.44-3.14) and 8.75 (95% CI 7.40-10.36) for BMI <20 kg/m², 20 kg/m² ≤ BMI < 25 kg/m², 25 kg/m²≤ BMI < 28 kg/m², and 28 kg/m²≤BMI, respectively. For females, the SSLRs predicting MetS were 0.08 (95% CI 0.05-0.12), 0.73 (95% CI 0.66-0.82), 2.50 (95% CI 2.16-2.90) and 4.83 (95% CI 4.12-5.67) for the same BMI categories, respectively.

CONCLUSION

The predictive utility of BMI is confirmed, and BMI has more predictive value in males than in females. Patients with a BMI of 28 kg/m² or greater had a significantly higher SSLR than those with a BMI less than 28 kg/m².

Clinical Correlates of Insulin Resistance in Chronic Schizophrenia: Relationship to Negative Symptoms

Higher prevalence of physical comorbidity and premature mortality in persons with schizophrenia (PwS) results primarily from heightened cardiovascular and metabolic risks. The literature suggests that insulin resistance precedes the development of obesity, smoking, and use of antipsychotic medications, although these likely play a compounding role later in the course of the disorder. It is thus important to discover the clinical characteristics of PwS with high insulin resistance, as these individuals may represent an etiopathologically distinct subgroup with a distinct course and treatment needs. We conducted a cross-sectional study and compared insulin resistance between 145 PwS and 140 nonpsychiatric comparison (NC) participants, similar in age, sex, and race distribution. In addition, we examined correlates of insulin resistance in PwS. As expected, PwS had higher levels of insulin resistance [Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)] and body mass index (BMI) compared to the NC participants. HOMA-IR in the PwS was most associated with negative symptoms, BMI, and non-White race/ethnicity. The mechanistic relationships between insulin resistance and negative symptoms in schizophrenia patients warrant further investigation, and future studies should examine outcomes of PwS with this cluster of physical and mental symptoms and determine how management of insulin resistance might improve health of these individuals.

Prevalence of polymorphisms in the ANKK1, DRD2, DRD3 genes and metabolic syndrome in refractory schizophrenia

OBJECTIVE

to estimate the prevalence of TaqIA, -141C and rs6280 polymorphisms of the ANKK1, DRD2 and DRD3 genes and evaluate their association with the occurrence of metabolic syndrome in patients with refractory schizophrenia.

METHOD

cross-sectional study conducted in the Extended Western Region of Minas Gerais, with refractory schizophrenic patients using the antipsychotic clozapine. Sociodemographic, clinical, anthropometric, biochemical and genetic data were collected. Univariate analysis of the data was performed.

RESULTS

seventy-two patients participated in the study and the occurrence of Metabolic Syndrome was observed in 47.2% of them. There was no association between Metabolic Syndrome and the studied polymorphisms. There was a statistically significant difference in the low HDL parameter with homozygous genotype for the C allele of the -141C polymorphism of the DRD2 gene.

CONCLUSION

a high prevalence of MS was evidenced. The -141C polymorphism was associated with low HDL. Genetic analysis and identification of metabolic alterations in this group of patients can guide drug treatment and provide a better quality of life.

Effects of Aerobic Exercise on Metabolic Syndrome, Cardiorespiratory Fitness, and Symptoms in Schizophrenia Include Decreased Mortality

Schizophrenia is a severe psychiatric disorder with a lifetime prevalence of about 1%. People with schizophrenia have a 4-fold higher prevalence of metabolic syndrome than the general population, mainly because of antipsychotic treatment but perhaps also because of decreased physical activity. Metabolic syndrome is a risk factor for cardiovascular diseases, and the risk of these diseases is 2- to 3-fold higher in schizophrenia patients than in the general population. The suicide risk is also higher in schizophrenia, partly as a result of depression, positive, and cognitive symptoms of the disease. The higher suicide rate and higher rate of cardiac mortality, a consequence of the increased prevalance of cardiovascular diseases, contribute to the reduced life expectancy, which is up to 20 years lower than in the general population. Regular physical activity, especially in combination with psychosocial and dietary interventions, can improve parameters of the metabolic syndrome and cardiorespiratory fitness. Furthermore, aerobic exercise has been shown to improve cognitive deficits; total symptom severity, including positive and negative symptoms; depression; quality of life; and global functioning. High-intensity interval endurance training is a feasible and effective way to improve cardiorespiratory fitness and metabolic parameters and has been established as such in somatic disorders. It may have more beneficial effects on the metabolic state than more moderate and continuous endurance training methods, but to date it has not been investigated in schizophrenia patients in controlled, randomized trials. This review discusses physical training methods to improve cardiorespiratory fitness and reduce metabolic syndrome risk factors and symptoms in schizophrenia patients. The results of studies and future high-quality clinical trials are expected to lead to the development of an evidence-based physical training program for patients that includes practical recommendations, such as the optimal length and type of aerobic exercise programs and the ideal combination of exercise, psychoeducation, and individual weight management sessions.

Using Functional Analysis as a Framework to Guide Individualized Treatment for Negative Symptoms

Although numerous interventions are available for negative symptoms, outcomes have been unsatisfactory with pharmacological and psychological interventions producing changes of only limited clinical significance. Here, we argue that because negative symptoms occur as a complex syndrome caused and maintained by numerous factors that vary between individuals they are unlikely to be treated effectively by the present "one size fits all" approaches. Instead, a well-founded selection of those interventions relevant to each individual is needed to optimize both the efficiency and the efficacy of existing approaches. The concept of functional analysis (FA) can be used to structure existing knowledge so that it can guide individualized treatment planning. FA is based on stimulus-response learning mechanisms taking into account the characteristics of the organism that contribute to the responses, their consequences and the contingency with which consequences are tied to the response. FA can thus be flexibly applied to the level of individual patients to understand the factors causing and maintaining negative symptoms and derive suitable interventions. In this article we will briefly introduce the concept of FA and demonstrate-exemplarily-how known psychological and biological correlates of negative symptoms can be incorporated into its framework. We then outline the framework's implications for individual assessment and treatment. Following the logic of FA, we argue that a detailed assessment is needed to identify the key factors causing or maintaining negative symptoms for each individual patient. Interventions can then be selected according to their likelihood of changing these key factors and need to take interactions between different factors into account. Supplementary case vignettes exemplify the usefulness of functional analysis for individual treatment planning. Finally, we discuss and point to avenues for future research guided by this model.

Medical Co-morbidities Among Patients with Severe Mental Illnesses in a Community Health Facility in Nigeria

To examine prevalence of medical comorbidity (MCM) in schizophrenia (n = 1310) and in bipolar disorder (n = 1307) and the association of high burden of MCM (≥3 MCM) with duration of untreated illness, number of episodes, functioning, poly-medication and lifetime hospitalization for the mental disorder. Participants were recruited from a private psychiatric facility in Ibadan, Nigeria between 2004 and 2013 and enquiry made about the lifetime occurrence of 20 common chronic diseases including common tropical diseases. Psychiatric diagnosis was made using the Structured Clinical Interview for DSM IV Axis I disorder (SCID). Except for nutritional anemia, dermatitis and intestinal Helminthiasis, patients with schizophrenia were not at higher odds of reporting MCM than those with bipolar disorder. DUI ≥2 years, episodes of illness ≥3, being on multiple neuroleptics and history of previous hospitalization were significantly associated with high burden of MCM in schizophrenia and episodes of illness ≥3, reduced functioning and history of previous hospitalization with bipolar disorder. Schizophrenia and bipolar disorder are associated with high rates of medical comorbidity. Treatment of this medical comorbidity is essential in order to improve the outcomes for patients with bipolar disorder and schizophrenia.

Amisulpride Switching in Schizophrenic Patients Who Showed Suboptimal Effect and/or Tolerability to Current Antipsychotics in a Naturalistic Setting: An Explorative Study

Objective

Despite numerous atypical antipsychotics (AAP) available, many patients with schizophrenia still experience lack of efficacy and persistent side-effects. Switching from one AAP to another with a different side-effect profile has become a common clinical strategy. We aimed to investigate effect of switching to amisulpride in patients who showed suboptimal effect and/or tolerability to current antipsychotics treatment.

Methods

This was a 6-week, prospective, multicenter, open-label, flexible-dose study in patients with schizophrenia. Switching to amisulpride was achieved using cross-titration within 7 days (day 1: 300 mg on day 1 then flexibly dosed 400–800 mg/day). The primary end-point measure was proportion of patients achieving improvement in clinical benefit at week 6 based on Clinical Global Impressions-Clinical Benefit (CGI-CB). Secondary endpoints included change in scores in CGI-CB, CGI-Severity (CGI-S), Subjective Satisfaction Scores (SSS), Brief Psychiatric Rating Scale (BPRS), and Simpson and Angus Rating Scale.

Results

Among 37 patients switched to amisulpride, 76% completed study and 56.8% had clinical benefit measure by CGI-CB. CGI-CB and CGI-S scores showed significant improvement at week 6 compared to baseline (mean changes of CGI-CB and CGI-S scores: −1.7+1.0, p<0.0001 and −0.6±0.0, p=0.001, respectively). SSS scores also improved significantly (mean change: 2.1±2.6, p<0.0001). Mean weight of patients significantly lowered compared to baseline (mean change: −1.2±2.0, p<0.0001).

Conclusion

Patients with schizophrenia who showed suboptimal efficacy or tolerability with their current antipsychotics and thereby switched to amisulpride resulted in clinical benefit in terms of both improved efficacy and tolerability. The small sample size limits generalizability of the study results.

The Cohort Study on Prediction of Incidence of All-Cause Mortality by Metabolic Syndrome

AIM

The aim was to evaluate the impact of metabolic syndrome (MS), MS individual components and 32 kinds of MS specific component combinations on all-cause mortality risk in a fixed cohort of MJ check-up population.

METHODS

We observed the events of death in a fixed cohort, where the population was composed of 45,542 individuals aged 35-74 who were examined at MJ Health check-up Center in 1997 as baseline examination, and were followed up to 2005. Median duration of follow-up was 7.44 years. MS was defined according to the National Cholesterol Educational Program (the revised NCEP-ATPIII for Asian in 2004), the prevalence of MS was standardized according to China's fifth census data. We constructed common Cox regression model, simultaneously adjusting the classic risk factors (such as age, sex, smoking, alcohol drinking, physical activity, family history, etc.) to examine the relationship between MS, MS individual components and 32 kinds of MS specific component combinations on the occurrence of death with the fixed cohort.

RESULTS

The standardized prevalence of MS was 29.75% (male: 30.36%, female: 29.51%). There were 1,749 persons who died during the median 7.44-years follow-up, the mortality rate was 46 per 10,000 person years. The mortality rates were 71 and 35 per 10,000 person years for those with and without MS, respectively. After adjustment for age, sex and classical risk factors, compared with subjects without MS, the hazard ratio of all-cause mortality was 1.26 (95% CI: 1.14-1.40). The all-cause mortality were more highly significant than other combinations (P <0.05) when the following combinations exist: "elevated blood pressure", "elevated fasting plasma glucose + low high-density lipoprotein cholesterol", "elevated blood pressure + elevated triglyceride + elevated fasting plasma glucose", "elevated fasting plasma glucose + low high-density lipoprotein cholesterol + elevated blood pressure + elevated triglyceride". After adjusting age, sex and classical risk factors, the HRs for those with 0 to 5 components were 1, 1.22, 1.25, 1.33, 1.66, and 1.92, respectively. There was a significant dose-response relationship (P for liner trend <0.001) between the number of MS components and the risk of all-cause mortality in the overall fixed cohort sample.

CONCLUSION

In a large scale middle-aged Taiwan check-up population, MS may be associated with a much higher risk for all-cause mortality. These results may underline the fact that MS is a non-homogeneous syndrome and have a significant impact on detecting high-risk individuals suffering from metabolic disorders for preventing and controlling death.

Attitudes toward metabolic adverse events among patients with schizophrenia in Japan

BACKGROUND

Metabolic syndrome is a growing concern among patients with schizophrenia because metabolic abnormalities are widely regarded as a major risk factor for cardiovascular disease and premature death. The current study assessed attitudes toward metabolic adverse events among patients with schizophrenia.

METHODS

A brief questionnaire was constructed to investigate patient recognition of the following broad areas: dietary habits, lifestyle, self-monitoring, knowledge, and medical practice. Between January 2012 and June 2013, questionnaires were sent to patients associated with 520 outpatient facilities and 247 inpatient facilities belonging to the Japan Psychiatric Hospital Association. All of the participants (n=22,072; inpatients =15,170, outpatients =6,902) were diagnosed with schizophrenia based on the Diagnostic and Statistical Manual of Mental Disorders, fourth edition, or the International Classification of Diseases, tenth revision.

RESULTS

Approximately 55.0% (8,069/14,669) of inpatients and 44.8% of outpatients (2,978/6,649) reported that they did not exercise at all. Although 60.9% (4,116/6,760) of outpatients reported that they felt obese, only 35.6% (5,261/14,794) of inpatients felt obese. More than half of the inpatients (51.2%; 7,514/14,690) and outpatients (60.8%; 4,086/6,721) hoped to receive regular blood tests to prevent weight gain and diseases such as diabetes.

CONCLUSION

Although more than half of patients hoped to prevent weight gain and diabetes, only a minority of patients were mindful of eating balanced meals and having physical exercise. Educational efforts and the promotion of the best pharmacotherapy and monitoring practices are needed for patients with schizophrenia.

Complement 3 and metabolic syndrome induced by clozapine: a cross-sectional study and retrospective cohort analysis

Metabolic syndrome (MetS) is considered to be an adverse effect of long-term treatment with atypical antipsychotics, particularly clozapine. There is strong evidence that the activation of inflammatory pathways interferes with normal metabolism and contributes to the development of MetS. C3, which is an inflammation molecule, has been reported to be associated with MetS. Because C3 is a heritable trait, we accordingly hypothesized that the gene encoding C3 (C3) would be a candidate gene for inter-individual variation in clozapine-induced MetS. We recruited 576 schizophrenia patients taking clozapine and measured the serum levels of fasting metabolic parameters. We then examined C3 mRNA and genotyped seven polymorphisms in C3. The expression quantitative trait locus (eQTL) data available for tissues were extracted by the Genotype-Tissue Expression Portal. A total of 105 patients' medical records were retrospectively reviewed to obtain the metabolic parameters during the initial 2-year clozapine treatment. The relative expression levels of C3 mRNA in patients with MetS were significantly higher than in those without MetS (P=0.02). C3 single-nucleotide polymorphism (SNP) rs2277984 was marginally associated with MetS (allelic P=0.06, odds ratio=1.36, 95% confidence interval (CI): 1.07-1.72). We found a significant association of rs2277984 with fasting triglyceride (TG) levels (P=0.004). Further, eQTL analysis revealed that rs2277984 regulates C3 expression in the liver (P=0.002). Similar results were found in the retrospective cohort analysis. The receiver operating characteristic curve showed a significant effect of the rs2277984 G allele on the percentage change of TG levels, with an area under the curve of 0.71 (95% CI: 0.60-0.81). C3 is likely to enhance TG accumulation and to confer susceptibility to clozapine-induced MetS. The C3 SNP rs2277984 may be a potential biomarker for predicting MetS risk in patients receiving clozapine treatment.