Predictors of type 2 diabetes in a nationally representative sample of adults with psychosis

Meta-analysis of a family history of diabetes in schizophrenia

OBJECTIVE

Type 2 diabetes (T2DM) is common in patients with schizophrenia and non-affective psychosis. These patients also have an increased prevalence of a family history of T2DM. We performed a systematic review and meta-analysis of the association between a family history of T2DM and schizophrenia.

METHOD

We searched electronic databases from inception until July 2022 for studies of a family history of T2DM or gestational diabetes in patients with schizophrenia and controls. We performed random effects meta-analysis, calculating odds ratios (ORs) and 95 % confidence intervals (CI) and meta-regression analyses.

RESULTS

Nine studies were included, comprising 2953 patients with non-affective psychosis and 4484 controls. Schizophrenia was associated with an over two-fold increased odds of a family history of T2DM or gestational diabetes (OR = 2.18, 95 % CI 1.61-2.96, p < 0.01). In meta-regression analyses, age, sex, study quality score, and year of publication were all unrelated to the association.

CONCLUSION

We found that patients with schizophrenia had a 2.2-fold increased odds of a family history of T2DM versus controls. This association may be relevant to both the pathophysiology of schizophrenia and the reported increased risk of development of diabetes with antipsychotic treatment.

Amisulpride as the antipsychotic of choice in severe psychotic disorder with comorbid impaired glucose tolerance

Antipsychotics are the mainstay treatment for the majority of severe mental illnesses. Such patients are also more prone to develop medical comorbidities, which complicate the treatment decisions. It is estimated that up to 40% of individuals with schizophrenia have impaired glucose tolerance (IGT) or diabetes, which can be attributed to a combination of genetic, lifestyle, and medication-related factors. Some widely used antipsychotic medications like olanzapine, risperidone, and clozapine have been associated with an increased risk of weight gain, insulin resistance, and other metabolic abnormalities, which can worsen IGT and increase the risk of developing diabetes. Among second-generation antipsychotics (SGAs), amisulpride, aripirazole, and ziprasidone have a fairly low potency to cause obesity and hyperglycemia. In this context, clinicians must balance the benefits and risks of different antipsychotic medications and consider the individual's specific needs and preferences. Here, we shall discuss three cases, to ascertain how the use of amisulpride helped in glycemic control, and also reflect on probable etiologies leading to deranged glucose levels.

Behavioral Interventions to Reduce Cardiovascular Risk Among People with Severe Mental Disorder

Cardiovascular disease (CVD) is the leading cause of death among people with severe mental disorder (SMD). CVD risk factors occur at the individual, health system, and socio-environmental levels and contribute not only to high rates of CVD but also to worsening mental health. While acknowledging this wider context, this review focuses on behavioral interventions for seven CVD risk behaviors-smoking, physical inactivity, excessive alcohol consumption, low fruit and vegetable intake, inadequate sleep, poor social participation, and poor medication adherence-that are common among people with SMD. We survey recent meta-reviews of the literature and then review additional key studies to provide clinical recommendations for behavioral interventions to reduce CVD risk among people with SMD. A transdiagnostic psychological approach from the start of mental health treatment, drawing upon multidisciplinary expertise to address multiple risk behaviors, is recommended. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 18 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Multifaceted interconnections between macrophage migration inhibitory factor and psychiatric disorders

Inflammation is involved in the pathogenesis of psychiatric disorders. Many previous studies have defined the important roles of inflammatory factors in the pathogenesis, diagnosis, and treatment outcomes of psychiatric disorders. Macrophage migration inhibitory factor (MIF), a pro-inflammatory factor, has been gradually recognized to be involved in the development of neurological diseases in recent years. Our current review focuses on discussing the potential beneficial and detrimental roles of MIF in psychiatric disorders. We will provide new mechanistic insights for the development of potential diagnostic and therapeutic biomarkers based on MIF for psychiatric diseases.

Mechanisms Underlying the Comorbidity of Schizophrenia and Type 2 Diabetes Mellitus

The mortality rate of patients with schizophrenia is high, and life expectancy is shorter by 10 to 20 years. Metabolic abnormalities including type 2 diabetes mellitus (T2DM) are among the main reasons. The prevalence of T2DM in patients with schizophrenia may be epidemiologically frequent because antipsychotics induce weight gain as a side effect and the cognitive dysfunction of patients with schizophrenia relates to a disordered lifestyle, poor diet, and low socioeconomic status. Apart from these common risk factors and risk factors unique to schizophrenia, accumulating evidence suggests the existence of common susceptibility genes between schizophrenia and T2DM. Functional proteins translated from common genetic susceptibility genes are known to regulate neuronal development in the brain and insulin in the pancreas through several common cascades. In this review, we discuss common susceptibility genes, functional cascades, and the relationship between schizophrenia and T2DM. Many genetic and epidemiological studies have reliably associated the comorbidity of schizophrenia and T2DM, and it is probably safe to think that common cascades and mechanisms suspected from common genes' functions are related to the onset of both schizophrenia and T2DM. On the other hand, even when genetic analyses are performed on a relatively large number of comorbid patients, the results are sometimes inconsistent, and susceptibility genes may carry only a low or moderate risk. We anticipate future directions in this field.

Identifying determinants of diabetes risk and outcomes for people with severe mental illness: a mixed-methods study

Background

People with severe mental illness experience poorer health outcomes than the general population. Diabetes contributes significantly to this health gap.

Objectives

The objectives were to identify the determinants of diabetes and to explore variation in diabetes outcomes for people with severe mental illness.

Design

Under a social inequalities framework, a concurrent mixed-methods design combined analysis of linked primary care records with qualitative interviews.

Setting

The quantitative study was carried out in general practices in England (2000–16). The qualitative study was a community study (undertaken in the North West and in Yorkshire and the Humber).

Participants

The quantitative study used the longitudinal health records of 32,781 people with severe mental illness (a subset of 3448 people had diabetes) and 9551 ‘controls’ (with diabetes but no severe mental illness), matched on age, sex and practice, from the Clinical Practice Research Datalink (GOLD version). The qualitative study participants comprised 39 adults with diabetes and severe mental illness, nine family members and 30 health-care staff.

Data sources

The Clinical Practice Research Datalink (GOLD) individual patient data were linked to Hospital Episode Statistics, Office for National Statistics mortality data and the Index of Multiple Deprivation.

Results

People with severe mental illness were more likely to have diabetes if they were taking atypical antipsychotics, were living in areas of social deprivation, or were of Asian or black ethnicity. A substantial minority developed diabetes prior to severe mental illness. Compared with people with diabetes alone, people with both severe mental illness and diabetes received more frequent physical checks, maintained tighter glycaemic and blood pressure control, and had fewer recorded physical comorbidities and elective admissions, on average. However, they had more emergency admissions (incidence rate ratio 1.14, 95% confidence interval 0.96 to 1.36) and a significantly higher risk of all-cause mortality than people with diabetes but no severe mental illness (hazard ratio 1.89, 95% confidence interval 1.59 to 2.26). These paradoxical results may be explained by other findings. For example, people with severe mental illness and diabetes were more likely to live in socially deprived areas, which is associated with reduced frequency of health checks, poorer health outcomes and higher mortality risk. In interviews, participants frequently described prioritising their mental illness over their diabetes (e.g. tolerating antipsychotic side effects, despite awareness of harmful impacts on diabetes control) and feeling overwhelmed by competing treatment demands from multiple morbidities. Both service users and practitioners acknowledged misattributing physical symptoms to poor mental health (‘diagnostic overshadowing’).

Limitations

Data may not be nationally representative for all relevant covariates, and the completeness of recording varied across practices.

Conclusions

People with severe mental illness and diabetes experience poorer health outcomes than, and deficiencies in some aspects of health care compared with, people with diabetes alone.

Future work

These findings can inform the development of targeted interventions aimed at addressing inequalities in this population.

Study registration

National Institute for Health Research (NIHR) Central Portfolio Management System (37024); and ClinicalTrials.gov NCT03534921.

Funding

This project was funded by the NIHR Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 10. See the NIHR Journals Library website for further project information.

Assessment of Antipsychotic Medications on Social Media: Machine Learning Study

Background: Antipsychotic medications are the first-line treatment for schizophrenia. However, non-adherence is frequent despite its negative impact on the course of the illness. In response, we aimed to investigate social media posts about antipsychotics to better understand the online environment in this regard. Methods: We collected tweets containing mentions of antipsychotic medications posted between January 1st 2019 and October 31st 2020. The content of each tweet and the characteristics of the users were analyzed as well as the number of retweets and likes generated. Results: Twitter users, especially those identified as patients, showed an interest in antipsychotic medications, mainly focusing on the topics of sexual dysfunction and sedation. Interestingly, paliperidone, despite being among one of the newest antipsychotics, accounted for a low number of tweets and did not generate much interest. Conversely, retweet and like ratios were higher in those tweets asking for or offering help, in those posted by institutions and in those mentioning cognitive complaints. Moreover, health professionals did not have a strong presence in tweet postings, nor did medical institutions. Finally, trivialization was frequently observed. Conclusion: This analysis of tweets about antipsychotic medications provides insights into experiences and opinions related to this treatment. Twitter user perspectives therefore constitute a valuable input that may help to improve clinicians' knowledge of antipsychotic medications and their communication with patients regarding this treatment.

A link among schizophrenia, diabetes, and asthma: Role of Ca2+/cAMP signaling

Asthma has been associated with an increased risk for developing schizophrenia. In addition, schizophrenia has been associated with an increased risk for developing type 2 diabetes mellitus, resulting in an elevated cardiovascular risk and in a limited life expectancy. It is well discussed that dysregulations related to Ca²⁺ signaling could link these diseases, in addition to cAMP signaling pathways. Thus, revealing this interplay among schizophrenia, diabetes, and asthma may provide novel insights into the pathogenesis of these diseases. Publications involving Ca²⁺ and cAMP signaling pathways, schizophrenia, diabetes, and asthma (alone or combined) were collected by searching PubMed and EMBASE. Both Ca²⁺ and cAMP signaling pathways (Ca²⁺/cAMP signaling) control the release of neurotransmitters and hormones, in addition to airway smooth muscle contractility, then dysregulations of these cellular processes may be involved in these diseases. Taking into consideration, the experience of our group in this field, this narrative review debated the involvement of Ca²⁺/cAMP signaling in this link among schizophrenia, diabetes, and asthma, including its pharmacological implications.

The magnitude of undiagnosed diabetes and Hypertension among adult psychiatric patients receiving antipsychotic treatment

BACKGROUND

Patients with severe mental illness (SMI) are at increased risk of developing non-communicable diseases that could cause significantly lower life expectancy when compared to the general population. This study aimed to assess the magnitude and predictors of undiagnosed type-2 diabetes and hypertension among adult patients with SMI on antipsychotic treatments.

METHODS

A hospital-based cross-sectional study was conducted on 237 psychiatric patients from January to June 2019 at Hawassa University Comprehensive Specialized Hospital, Hawassa, Southern Ethiopia. All relevant information was collected using a structured interviewer-administered questionnaire with a systematic random sampling technique. A total of 4-5 mL of overnight fasting venous blood was collected from each patient. Serum lipid profiles and fasting blood sugar (FBS) were measured using the A25™ BioSystem Random Access chemistry analyzer. To identify predictors of hyperglycemia and raised blood pressure, multiple linear regression analysis was done using SPSS version 23. Statistical significance was set at p value < 5%.

RESULTS

From 247 patients with SMI approached, 237 (58.2% male and 41.8% females) were take part in the study giving a response rate of 95.9%. The overall 31.2% (95%CI: 24.1-37.6) and 27.8% (95%CI: 23.2-33.4) of patients had hyperglycemia and raised BP. The magnitude of prediabetes and type-2 diabetes was 24.9% (95%CI:19.4-30.4), and 6.3% (95% CI: 3.4-10.1), respectively. While the magnitude of prehypertension and hypertension was 23.2% (95%CI: 17.3-29.5) and 4.6% (95%CI: 2.1-8.0), respectively. In multiple linear regression analyses: age, HDL-cholesterol, physical activity and Triglyceride/HDL-cholesterol ratio were positively correlated with FBS. While, HDL-cholesterol, waist circumference, physical activity, total cholesterol/HDL-c ratio, and body mass index were positively correlated with systolic and diastolic blood pressures.

CONCLUSION

The findings indicate a need to assess blood glucose and blood pressure at baseline before the commencement of any antipsychotic therapy and during therapeutic follow up to manage any increasing trends. Moreover, close monitoring of patients with severe mental illness on antipsychotic therapy is exclusively recommended.

Prevalence and major risk factors of type 2 diabetes mellitus among adult psychiatric inpatients from 2005 to 2018 in Beijing, China: a longitudinal observational study

OBJECTIVE

We aim to investigate the prevalence, trends, and major risk factors of type 2 diabetes mellitus (T2DM) among adult psychiatric inpatients in Beijing, China.

RESEARCH DESIGN AND METHODS

We did a longitudinal observational study using data from the Beijing Municipal Commission of Health and Family Planning Information Center, including 157 570 adult psychiatric inpatients in 19 specialized psychiatric hospitals from 2005 to 2018 in Beijing. Data on demographic characteristics and antipsychotic medication use were obtained from electronic health records. Schizophrenia, T2DM, and comorbidities were defined according to the International Classification of Diseases, 10th revision codes of discharge diagnosis. The overall prevalence of T2DM in adult psychiatric inpatients was calculated, and the annual prevalence of T2DM was calculated and adjusted to the overall participant population. Univariate and multivariate logistic regression analyses were performed to obtain crude ORs and adjusted ORs (aORs) on the risk of T2DM in patients with different demographic characteristics, schizophrenia, antipsychotic medication use, and different comorbidities. Age-specific prevalence of T2DM under a stratification of schizophrenia or other psychiatric disorders was calculated in the subgroup analysis.

RESULTS

Out of 157 570 adult inpatients, 16 939 had T2DM, with a prevalence of 10.75% (95% CI 10.60% to 10.90%). The prevalence was 11.63% (95% CI 11.37% to 11.88%) among patients with schizophrenia and 10.17% (95% CI 9.98% to 10.37%) among patients with other psychiatric disorders. During 2005-2018, the prevalence of T2DM in adult patients increased over the years, from an adjusted prevalence of 5.20% in 2005, to 10.98% in 2010, 12.50% in 2015, and 12.71% in 2018. Results from the multivariate analysis showed that increasing age, diagnosis of schizophrenia (aOR=1.23, 95% CI 1.18 to 1.29), and comorbidities of hypertension (aOR=3.09, 95% CI 2.97 to 3.22), lipid disorders (aOR=1.95, 95% CI 1.88 to 2.04), and fatty liver (aOR=1.93, 95% CI 1.84 to 2.03) were major risk factors of T2DM in adult psychiatric inpatients.

CONCLUSIONS

The prevalence of T2DM was high among adult psychiatric inpatients in Beijing, China. Elderly patients, those with schizophrenia, and those with hypertension, lipid disorders, and fatty liver had higher prevalence of T2DM. Prevention and treatment of T2DM are of utmost relevance in hospitalized psychiatric patients.

Meta-analysis of comorbid diabetes and family history of diabetes in non-affective psychosis

OBJECTIVE

Schizophrenia and other non-affective psychoses (NAP) are associated with an increased prevalence of both type 2 diabetes (DM2) as well as a family history of DM2. We performed a systematic review and meta-analysis of the association between comorbid DM2 and a family history of DM2 in patients with NAP.

METHOD

We searched major electronic databases from inception until August 2018 for studies of comorbid DM2 in patients with non-affective psychosis and family history of DM2 status. Random effects meta-analysis calculating odds ratios (ORs) and 95% confidence intervals (CI) and meta-regression analyses were performed.

RESULTS

Ten studies met the inclusion criteria. Across these studies, there were 804 patients with non-affective psychosis and comorbid DM2, and 2976 patients with non-affective psychosis without this comorbidity. A family history of DM2 was associated with an over four-fold increased odds of comorbid DM2 in patients with NAP (OR = 4.3, 95% CI 2.9-6.4, p<0.001). In; meta-regression analyses older age, but not sex, BMI, geographic region, study quality, or year; of publication moderated the association between comorbid DM2 and family history of DM2.

CONCLUSION

We found that a family history of DM2 was associated with an over four-fold increased odds of comorbid DM2 in patients with NAP. This association may be due to shared environmental or genetic risk factors, or gene-environment interactions. Given the increased risk of incident diabetes with antipsychotic treatment, screening for a family history of DM2 is germane to the clinical care of patients with NAP.

Undiagnosed Diabetes Mellitus and Associated Factors among Psychiatric Patients Receiving Antipsychotic Drugs at The University of Gondar Hospital, Northwest Ethiopia

Background

Undiagnosed diabetes mellitus cases are at higher risk for diabetic related complications. In low-income African countries, patients with undiagnosed diabetes mellitus account for 75% of diabetes cases. Psychiatric disorders have a greater impact on the global burden of diseases and disability associated with chronic diseases like diabetes mellitus and cardiovascular diseases.

Methods

Institution based cross-sectional study was conducted at the University of Gondar Hospital from February to April 2016. A total of 205 psychiatric patients aged above 15 years that were taking antipsychotic were included by the simple random sampling method. Fasting blood glucose, triglycerides and cholesterol level were determined from venous blood samples to evaluate diabetes mellitus based on WHO criteria.

Results

Among 205 psychiatric patients taking antipsychotics, 15(7.3%) had undiagnosed diabetes mellitus. Duration of antipsychotic treatment and sex had a statistically significant association with the prevalence of undiagnosed diabetes mellitus. As the duration of antipsychotic drug treatment increased by one year, the risk of having a diabetes mellitus increase by 1.47 times (AOR: 1.47 CI: 1.021-2.125).

Conclusion

The prevalence of undiagnosed diabetes mellitus among psychiatry patients taking antipsychotics was higher than the estimated diabetes national prevalence of Ethiopia. Screening of diabetes mellitus in particular, patients having a longer duration of antipsychotic treatment is mandatory to bring more undiagnosed cases for medical attention.

Cardiovascular disease lifestyle risk factors in people with psychosis: a cross-sectional study

BACKGROUND

People with psychosis die on average 25 years earlier than those in the general population, with cardiovascular disease (CVD) contributing to much of the excess mortality. This cross-sectional study aimed to identify the relationship between lifestyle risk factors for CVD - poor nutrition, smoking and low physical activity levels - and dyslipidaemia, hypertension and hyperglycaemia while controlling for potential confounders in 1825 people from the Survey of High Impact Psychosis (SHIP) in Australia. We also aimed to identify clustering patterns of lifestyle risk factors and associated demographic variables.

METHODS

Three logistic regressions were used to predict the effect of nutrition, smoking and physical activity on dyslipidaemia, hypertension and hyperglycaemia while controlling for clozapine use, sex and age. Clustering patterns of nutrition, smoking and physical activity were examined using the two-step cluster method which is based on hierarchical cluster analysis. Demographic variables associated with different clusters were identified using measures of association.

RESULTS

Smoking status had a positive association with dyslipidaemia (adjusted odds ratio = 0.50; 95% confidence interval = 0.32-0.78; p = 0.002). Other cardiovascular disease lifestyle risk factors did not have a significant relationship with dyslipidaemia, hypertension and hyperglycaemia. Clustering patterns of lifestyle risk factors showed that younger men, with low education levels, and relying on a government pension, were most likely to display the poorest lifestyle risk behaviours. The largest cluster (42%) of participants was characterised by a mixed demographic profile and were most likely to display poor nutrition and low physical activity levels but less likely to smoke.

CONCLUSIONS

Only smoking status had a significant positive association with dyslipidaemia which could indicate that there are additional factors affecting the relationship between other cardiovascular lifestyle risk factors and dyslipidaemia, hypertension and hyperglycaemia in people with psychosis. Unknown confounders and traditional lifestyle risk factors may explain the high rates of CVD in this group. Clustering of lifestyle risk factors and their demographic profiles could help the design of intervention programs in people with psychosis.

Comorbid Diabetes and Depression in a National Sample of Adults With Psychosis

Objective

People with psychosis have an elevated risk of depression and diabetes but no large-scale study has characterized their relationship. We aimed to assess this association and to evaluate possible explanatory factors.

Methods

Analysis of cross-sectional data from a national sample of 1155 people with psychosis who gave a fasting blood sample and could be tested for diabetes mellitus. The association between current diabetes mellitus and current depression was estimated using logistic regression, adjusted for age, sex and current psychotropic medication.

Results

A diagnosis of depression was significantly associated with diabetes (OR = 2.16, P = .048) and diabetes medication (OR = 2.50, P = .050) in people with schizophrenia but no other psychosis subtype. Adjustment for cognitive processing speed and current residence (especially psychiatric hospitalization) attenuated that association to nonsignificance. Diabetes and diabetes medication were not significantly associated with antidepressant or mood stabilizer medication.

Conclusions

Clinicians should be aware that people with schizophrenia and diabetes have twice the rate of current depression, and that comorbid diabetes and depression is associated with cognitive impairment and hospitalization. Efforts to disentangle the causal pathways between diabetes, depression, and cognition in people with schizophrenia may be complicated by multiple indications in people with psychosis for the prescription of depression medication, and their lack of association with diabetes mellitus.

Clozapine, Diabetes Mellitus, Cardiovascular Risk and Mortality: Results of a 21-Year Naturalistic Study in Patients with Schizophrenia and Schizoaffective Disorder

The goal of this 21-year naturalistic study of clozapine-treated patients was to examine the cardiovascular risk factors following clozapine initiation and resultant mortality estimates from cardiovascular disease. Data were collected from January 1992 to February 2012 medical records from clozapine-treated patients with schizophrenia or schizoaffective disorder. Demographics, clozapine dosage and laboratory results were extracted at 12-month intervals. At clozapine initiation, the mean age of the 96 patients was 36.4 years±7.6 years; n=27 (28%) were women. The mean duration of clozapine use was 13 years. The Kaplan-Meier estimate for 21-year cardiovascular events was 29%, while the Kaplan-Meier estimate for 21-year mortality from cardiovascular disease was 10%. The mean cardiovascular risk increased during the first ten years (p<.01), while a slight decrease occurred beyond ten years (p<.01). Patients involved in cardiometabolic research showed a greater decrease in cardiovascular risk factors over 21 years (p=.05). The Kaplan-Meier estimate for 21-year all-cause mortality was 22%. Forty-one patients were diagnosed with diabetes (42.7%), compared to a nationwide prevalence of 13.7% in a similar age group. These results support the hypothesis that clozapine-treated patients are at risk for cardiovascular events and death secondary to an increased risk of medical disorders. Interventions that target weight loss, smoking cessation, and lipid profile improvement may alleviate the increased risk of cardiovascular mortality.

Men and women with psychosis and the impact of illness-duration on sex-differences: The second Australian national survey of psychosis

We aimed to examine and compare sex-differences in people receiving treatment for psychotic illnesses in community settings, based on long or short duration of illness; expecting association between longer illness-duration and worse outcomes in women and men. Clinical, demographic and service-use data from the Survey of High Impact Psychosis were analysed by sex and duration of illness (≤5 years; ≥6 years), using independent t-tests, chi-square tests, one-way ANOVA, and Cramer's V. Of the 1825 participants, 47% had schizophrenia, 17.5% bipolar and 16.1% schizo-affective disorders. More women than men had undertaken post-school education, maintained relationships, and been living in their own homes. Women with a shorter-illness-duration showed social functioning equivalent to non-ill women in the general population. Men tended to have an early illness onset, show premorbid dysfunction, be single, show severe disability, and to use illicit substances. Men with a longer-illness-duration were very socially disadvantaged and isolated, often experiencing homelessness and substance use. Men with a short-illness-duration were most likely to be in paid employment, but two-thirds earned less than $AUD500 per fortnight. Men with longer-illness-duration showed most disability, socially and globally. Interventions should be guided by diagnosis, but also by a person's sex and duration of illness.

Responding to challenges for people with psychotic illness: Updated evidence from the Survey of High Impact Psychosis

OBJECTIVE

The objective is to summarise recent findings from the 2010 Australian Survey of High Impact Psychosis (SHIP) and examine their implications for future policy and planning to improve mental health, physical health and other circumstances of people with a psychotic disorder.

METHODS

Survey of High Impact Psychosis collected nationally representative data on 1825 people with psychotic illness. Over 60 papers have been published covering key challenges reported by participants: financial problems, loneliness and social isolation, unemployment, poor physical health, uncontrolled symptoms of mental illness, and lack of stable, suitable housing. Findings are summarised under the rubric of participant-ranked top challenges.

RESULTS

The main income source for the majority (85%) of participants was a government benefit. Only one-third was employed, and the most appropriate employment services for this group were under-utilised. High rates of loneliness and social isolation impacted mental and physical health. The rate of cardiometabolic disease was well above the general population rate, and associated risk factors were present from a very young age. Childhood abuse (30.6%), adult violent victimisation (16.4%) and alcohol and substance abuse/dependence (lifetime rates of 50.5% and 54.5%, respectively) complicated the clinical profile. Treatment with medication was suboptimal, with physical health conditions undertreated, a high rate of psychotropic polypharmacy and underutilisation of clozapine in chronic persistent psychotic illness. Only 38.6% received evidence-based psychosocial therapies. In the previous year, 27.4% had changed housing and 12.8% had been homeless, on average for 155 days.

CONCLUSION

Money, social engagement and employment are the most important challenges for people with psychotic illness, as well as good physical and mental health. An integrated approach to recovery is needed to optimise service delivery and augment evidence-based clinical practice with measures to improve physical health and social circumstances. Meeting these challenges has the potential to reduce costs to government and society, as well as promote recovery.

Physical multimorbidity and psychosis: comprehensive cross sectional analysis including 242,952 people across 48 low- and middle-income countries

BACKGROUND

In people with psychosis, physical comorbidities, including cardiovascular and metabolic diseases, are highly prevalent and leading contributors to the premature mortality encountered. However, little is known about physical health multimorbidity in this population or in people with subclinical psychosis and in low- and middle-income countries (LMICs). This study explores physical health multimorbidity patterns among people with psychosis or subclinical psychosis.

METHODS

Overall, data from 242,952 individuals from 48 LMICs, recruited via the World Health Survey, were included in this cross-sectional study. Participants were subdivided into those (1) with a lifetime diagnosis of psychosis ("psychosis"); (2) with more than one psychotic symptom in the past 12 months, but no lifetime diagnosis of psychosis ("subclinical psychosis"); and (3) without psychotic symptoms in the past 12 months or a lifetime diagnosis of psychosis ("controls"). Nine operationalized somatic disorders were examined: arthritis, angina pectoris, asthma, diabetes, chronic back pain, visual impairment, hearing problems, edentulism, and tuberculosis. The association between psychosis and multimorbidity was assessed by multivariable logistic regression analysis.

RESULTS

The prevalence of multimorbidity (i.e., two or more physical health conditions) was: controls = 11.4% (95% CI, 11.0-11.8%); subclinical psychosis = 21.8% (95% CI, 20.6-23.0%), and psychosis = 36.0% (95% CI, 32.1-40.2%) (P < 0.0001). After adjustment for age, sex, education, country-wise wealth, and country, subclinical psychosis and psychosis were associated with 2.20 (95% CI, 2.02-2.39) and 4.05 (95% CI, 3.25-5.04) times higher odds for multimorbidity. Moreover, multimorbidity was increased in subclinical and established psychosis in all age ranges (18-44, 45-64, ≥ 65 years). However, multimorbidity was most evident in younger age groups, with people aged 18-44 years with psychosis at greatest odds of physical health multimorbidity (OR = 4.68; 95% CI, 3.46-6.32).

CONCLUSIONS

This large multinational study demonstrates that physical health multimorbidity is increased across the psychosis-spectrum. Most notably, the association between multimorbidity and psychosis was stronger among younger adults, thus adding further impetus to the calls for the early intervention efforts to prevent the burden of physical health comorbidity at later stages. Urgent public health interventions are necessary not only for those with a psychosis diagnosis, but also for subclinical psychosis to address this considerable public health problem.

Awareness of Pre-diabetes or Diabetes and Associated Factors in People With Psychosis

OBJECTIVE

To estimate awareness of pre-diabetes or type 2 diabetes and associated factors in people with psychosis, a known high-risk group.

METHODS

Cross sectional analysis of a national sample with psychosis who were aged 18-64 years, gave a fasting blood sample (n = 1155), had pre-diabetes or diabetes based on testing (n = 359) and reported if they knew they had high blood sugar or diabetes at survey (n = 356). Logistic regression was used to identify factors associated with awareness of pre-diabetes or diabetes prior to testing.

RESULTS

The prevalence of pre-diabetes (19.0% 219/1153) or type 2 diabetes (12.1%, 140/1153) was 31.1% (359/1153); 45% (160/356) were known prior to testing. Factors associated with detection were higher fasting blood glucose, older age, a perception of poor health, severe obesity, dyslipidaemia or treatment with a lipid regulating drug, a family history of diabetes, Aboriginal or Torres Strait Islander descent, decreased cognitive functioning, regional economic disadvantage, treatment with an antihypertensive drug, and an elevated 5-year risk for cardiovascular disease. The prevalence of undiagnosed pre-diabetes/diabetes was highest in those aged 25-34 years at 34.2%.

CONCLUSIONS

Clinical detection of pre-diabetes or diabetes in people with psychosis was strongly dependent on established risk factors for type 2 diabetes in the population but not on current antipsychotic drug treatment or psychiatric case management which should ensure regular screening. Screening must become a clinical priority and should not wait until age 40.

Correlates of physical activity in people living with psychotic illness

OBJECTIVE

In the light of the high prevalence of physical comorbidities in people with psychotic illness, there is a need to explore modifiable risk factors that may contribute to this disease burden. The benefits of physical activity to both physical and mental health have been well established. We aimed to examine the prevalence and correlates of physical activity in a national sample of adults living with psychotic illness.

METHODS

Physical activity was assessed in 1801 people using the International Physical Activity Questionnaire. Participants were dichotomised into low and moderate-high physical activity groups and associations between physical activity and a range of sociodemographic, clinical and physical comorbidity variables were examined using logistic regression.

RESULTS

More than half the participants were categorised in the moderate-high physical activity group with nearly half of the sample engaged in physical activity every day. There were significant associations between low physical activity and older age, unemployment, educational non-participation, antipsychotic medication use, social dysfunction, self-reported loneliness and obesity. However, there was no significant association between physical activity and sex, psychosis type, illness duration, physical comorbidity or negative symptoms.

CONCLUSION

The findings from this study may inform future interventions designed to increase physical activity in people with psychotic illness.

Common familial risk factors for schizophrenia and diabetes mellitus

OBJECTIVE

The co-occurrence of type 2 diabetes and psychosis is an important form of medical comorbidity within individuals, but no large-scale study has evaluated comorbidity within families. The aim of this study was to determine whether there is evidence for familial comorbidity between type 2 diabetes and psychosis.

METHOD

Data were analysed from an observational study of a nationally representative sample of 1642 people with psychosis who were in contact with psychiatric services at the time of survey (The 2010 Australian National Survey of Psychosis). Participants were aged 18-64 years and met World Health Organization's International Classification of Diseases, 10th Revision diagnostic criteria for a psychotic disorder (857 with schizophrenia, 319 with bipolar disorder with psychotic features, 293 with schizoaffective disorder, 81 with depressive psychosis and 92 with delusional disorder or other non-organic psychoses). Logistic regression was used to estimate the association between a family history of diabetes and a family history of schizophrenia.

RESULTS

A positive family history of diabetes was associated with a positive family history of schizophrenia in those with a psychotic disorder (odds ratio = 1.35, p = 0.01, adjusted for age and gender). The association was different in those with an affective versus non-affective psychosis (odds ratio = 0.613, p = 0.019, adjusted for age and gender) and was significant only in those with a non-affective psychosis, specifically schizophrenia (odds ratio = 1.58, p = 0.005, adjusted for age and sex). Adjustment for demographic factors in those with schizophrenia slightly strengthened the association (odds ratio = 1.74, p = 0.001, adjusted for age, gender, diagnosis, ethnicity, education, employment, income and marital status).

CONCLUSION

Elevated risk for type 2 diabetes in people with schizophrenia is not simply a consequence of antipsychotic medication; type 2 diabetes and schizophrenia share familial risk factors.

Improving metabolic monitoring in patients maintained on antipsychotics in Penang, Malaysia

OBJECTIVES

To evaluate the monitoring of metabolic parameters among outpatients maintained on antipsychotic medications in a general hospital setting in Malaysia and to assess the impact of a local monitoring protocol.

METHODS

By performing a baseline audit of files from a random sample of 300 patients prescribed antipsychotic medications for at least 1 year; we determined the frequency of metabolic monitoring. The findings informed the design of a new local protocol, on which clinical staff was briefed. We re-evaluated metabolic monitoring immediately after implementation, in a small sample of new referrals and current patients. We explored staff perceptions of the initiative with a follow-up focus group, 6 months post-implementation.

RESULTS

The baseline audit revealed a sub-optimal frequency of metabolic parameter recording. Re-audit, following implementation of the new protocol, revealed improved monitoring but persisting deficits. Dialogue with the clinical staff led to further protocol modification, clearer definition of staff roles and use of a standard recording template. Focus group findings revealed positive perceptions of the initiative, but persisting implementation barriers, including cultural issues surrounding waist circumference measurement.

CONCLUSIONS

Responding to challenges in achieving improved routine metabolic monitoring of patients maintained on antipsychotics required on-going dialogue with the clinical staff, in order to address both service pressures and cultural concerns.

Effect of age, family history of diabetes, and antipsychotic drug treatment on risk of diabetes in people with psychosis: a population-based cross-sectional study

BACKGROUND

Psychosis is associated with an increased risk of diabetes mellitus. A positive synergy between antipsychotic drug effects and a pre-existing liability to diabetes mellitus might explain the especially high relative risk of diabetes mellitus in young adults with psychosis. We aimed to assess the individual and joint effect of age, family history of diabetes mellitus, and currently prescribed antipsychotic drug treatment on risk for diabetes mellitus.

METHODS

In this study, we used data from the 2010 Australian National Survey of Psychosis-an observational study done at seven sites in five Australian states. We included data from 1155 people with psychosis aged 18-64 years who were in contact with psychiatric services and who gave a fasting blood sample to test for current diabetes mellitus. Using logistic regression, we modelled the association of diabetes mellitus with age, family history of diabetes mellitus, and current antipsychotic drug treatment. We compared model fit with and without two-way and three-way interaction terms and used likelihood ratio tests to establish which terms to include in the final model.

FINDINGS

After adjustment for older age, which was an independent risk factor, compared with not taking antipsychotic drugs, antipsychotic drug treatment was associated with diabetes mellitus only in those without a family history of diabetes mellitus (clozapine adjusted odds ratio [OR] 7·22, 95% CI 1·62-32·20, p=0·01; quetiapine 5·91, 1·33-26·30, p=0·02; aripiprazole 5·06, 0·86-29·64, p=0·07; risperidone 4·17, 0·90-19·24, p=0·07; and olanzapine 2·23, 0·45-11·06, p=0·32). Antipsychotic drug treatment was not associated with additional risk of diabetes mellitus in those with a family history (clozapine adjusted OR 1·51, 95% CI 0·64-3·54, p=0·34; quetiapine 1·09, 0·49-2·43, p=0·82; aripiprazole 0·43, 0·12-1·49, p=0·18; risperidone 1·12, 0·48-2·63, p=0·79; and olanzapine 0·67, 0·26-1·71, p=0·39).

INTERPRETATION

People with psychosis are at increased risk of diabetes mellitus if they have a family history of diabetes mellitus or if they have no family history of diabetes mellitus but are taking antipsychotic drugs. Increasing age increases risk but independently of family history or antipsychotic drug treatment. Clinicians should not think the absence of a family history of diabetes mellitus protects their patients from the diabetic side-effects of antipsychotics.

FUNDING

Australian Federal Government and Orygen.

Cardiovascular risk factor associations in adults with psychosis and adults in a national comparator sample

OBJECTIVE

Antipsychotic drug treatment alters status on key risk factors for cardiovascular disease. The aim of this study was to test whether cardiovascular risk factor associations differ in adults with psychosis and adults from the general community.

METHOD

Data were analysed for those aged 25-64 years from a nationally representative psychosis sample (n = 1,457) and a national comparator sample (n = 8,866). The Pearson correlation coefficient was used to estimate the association among tobacco use, body mass index, waist circumference, diastolic and systolic blood pressure and fasting total-, LDL- and HDL-cholesterol, triglycerides and plasma glucose. The robust Levene test was used to test for sample differences in variance.

RESULTS

Correlations among cardiovascular risk indicators and between cardiovascular risk indicators and age were often significantly weaker in those with psychosis than in those from the national comparator sample. This was not due to a reduction in variance within the psychosis sample.

CONCLUSIONS

Risk prediction that synthesizes multivariate risk indicator data needs to be connected to verified cardiovascular morbidity and mortality in those with psychosis to determine if standard risk calculators adequately discriminate those at high, medium and low future risk of cardiovascular morbidity and mortality. Until then the clinical implications of low or absent correlations among cardiovascular risk indicators and their low or absent association with increasing age is unclear but may indicate that risk equations commonly used in the general population may not be applicable for those with treated psychosis.

The prevalence and predictors of type two diabetes mellitus in people with schizophrenia: a systematic review and comparative meta-analysis

OBJECTIVE

To conduct a meta-analysis investigating the prevalence of type two diabetes mellitus (T2DM) in people with schizophrenia compared to controls.

METHOD

Systematic review of electronic databases from inception till November 2014. Articles reporting the prevalence of T2DM in people with schizophrenia and healthy controls (without mental illness) were included. Two independent authors conducted searches and extracted data. A random effects relative risks (RR) meta-analysis was conducted.

RESULTS

Twenty-five studies including 145,718 individuals with schizophrenia (22.5-54.4 years) and 4,343,407 controls were included. The prevalence of T2DM in people with schizophrenia was 9.5% (95% CI = 7.0-12.8, n = 145,718) and 10.75% (95% CI 7.44-14.5%, n = 2698) in studies capturing T2DM according to recognized criteria. The pooled RR across all studies was 1.82 (95% CI = 1.56-2.13; = 4,489,125). Subgroup analyses found a RR of 2.53 (95% CI = 1.68-3.799, n = 17,727) in studies ascertaining T2DM according to recognized criteria and RR 1.65 (95% CI = 1.34-2.03, n = 4,243,389) in studies relying on T2DM determined through medical records.

CONCLUSION

People with schizophrenia are at least double the risk of developing T2DM according to recognized T2DM criteria. Proactive lifestyle and screening programmes should be given clinical priority.

The epidemiology of diabetes in psychotic disorders

Diabetes is highly prevalent in people with psychotic disorders, including schizophrenia and schizoaffective disorders. Exact prevalence is difficult to estimate, since diabetes is often underdiagnosed in people with psychosis. Results of several studies show that the prevalence of diabetes exceeds that in the general population, with documented prevalence in those with psychosis ranging from 1·26% to 50% across studies (median 13%). The association between diabetes and psychosis is complex and multifactorial. Many of the traditional risk factors for disease have increased prevalence in patients with psychotic disorders. In addition to these traditional risk factors, people with psychosis have unique risks that might have additive or even synergistic effects. These risks include the use of antipsychotic medication, the effects of adverse social determinants of health, and genetic loading. Despite evidence that rates of diabetes are increased in individuals with psychosis, many of these patients are not diagnosed or treated, resulting in increased diabetes-associated morbidity and mortality. Specific patient factors, provider issues, and systems-level factors contribute to the treatment gap. Interventions at both the clinical and public health levels are needed to successfully address this problem.

Inadequate fruit and vegetable intake in people with psychosis

OBJECTIVE

The objective of this study was to identify factors associated with poor dietary intake (less than four servings of fruit and vegetables daily) in a large nationally representative sample of adults with psychotic disorders.

METHODS

The sample comprised 1286 adults aged 18-64 years who took part in the second Australian national survey of psychosis. Dietary information was obtained using a standardised questionnaire; all participants provided fasting blood samples. Variables that may be related to diet and nutritional intake were investigated; these included demographics, physical health outcomes, physical activity, substance use, symptom severity and financial difficulty. Dietary status was explored by sex, age and body mass index using univariate analyses, while a multivariate analysis was performed to identify predictors of low nutritional intake.

RESULTS

Approximately 74% of participants ate less than four servings of fruit and vegetables daily. This was associated with a lower body mass index (p<0.05), lower levels of physical activity (p<0.05), sedentary behaviour (p<0.05), substance use (p<0.001), more negative symptoms (p<0.05), eating less frequently (p<0.001), consuming whole fat milk compared to low fat milk (p<0.05), adding salt to food (p<0.05) and financial difficulty (p<0.05). Male sex and younger age (18-34 years) were also associated with lower fruit and vegetable intake (p<0.001). A multivariate regression analysis showed that current smoking (p<0.001) and alcohol (p<0.01) and cannabis abuse (p<0.05) were risk factors for lower fruit and vegetable intake.

CONCLUSION

The findings suggest that poor diet in people with psychosis, as reflected by less than four servings of fruit and vegetables daily, is accompanied by other unhealthy behaviours, which has important implications for the development of effective interventions. Importantly, current smoking is a significant predictor of dietary inadequacy.