The Effectiveness of Pharmacological and Non-Pharmacological Interventions for Improving Glycaemic Control in Adults with Severe Mental Illness: A Systematic Review and Meta-Analysis

A core outcome set for trials evaluating self-management interventions in people with severe mental illness and coexisting type 2 diabetes

BACKGROUND

People with severe mental illness (SMI), such as schizophrenia, have higher rates of type 2 diabetes and worse outcomes, compared to those without SMI and it is not known whether diabetes self-management interventions are effective for people who have both conditions. Research in this area has been impeded by a lack of consensus on which outcomes to prioritise in people with co-existing SMI and diabetes.

AIMS

To develop a core outcome set (COS) for use in effectiveness trials of diabetes self-management interventions in adults with both type 2 diabetes and SMI.

METHODS

The COS was developed in three stages: (i) identification of outcomes from systematic literature review of intervention studies, followed by multi-stakeholder and service user workshops; (ii) rating of outcomes in a two-round online Delphi survey; (iii) agreement of final 'core' outcomes through a stakeholder consensus workshop.

RESULTS

Seven outcomes were selected: glucose control, blood pressure, body composition (body weight, BMI, body fat), health-related quality of life, diabetes self-management, diabetes-related distress and medication adherence.

CONCLUSIONS

This COS is recommended for future trials of effectiveness of diabetes self-management interventions for people with SMI and type 2 diabetes. Its use will ensure trials capture important outcomes and reduce heterogeneity so findings can be readily synthesised to inform practice and policy.

Metabolic Adverse Effects of Psychotropic Drug Therapy: A Systematic Review

This review aimed to investigate the metabolic alterations associated with psychopharmacological treatment of neuropsychiatric disorders, which can significantly impact patients' physical health and overall quality of life. The study utilized the PRISMA methodology and included cross-sectional, retrospective studies, and randomized clinical trials from reputable databases like SCOPUS, CLARIVATE, SCIENCE DIRECT, and PUBMED. Out of the 64 selected studies, various psychotropic drug classes were analyzed, including antidepressants, anticonvulsants, and antipsychotics. Among the antidepressants, such as amitriptyline, Imipramine, and clomipramine, weight gain, constipation, and cardiovascular effects were the most commonly reported metabolic adverse effects. SSRI antidepressants like Fluoxetine, Sertraline, Citalopram, Escitalopram, and Paroxetine exhibited a high prevalence of gastrointestinal and cardiac alterations. Regarding anticonvulsants, valproic acid and Fosphenytoin were associated with adverse reactions such as weight gain and disturbances in appetite and sleep patterns. As for antipsychotics, drugs like Clozapine, Olanzapine, and Risperidone were linked to weight gain, diabetes, and deterioration of the lipid profile. The findings of this review emphasize the importance of continuous monitoring for adverse effects, particularly considering that the metabolic changes caused by psychopharmacological medications may vary depending on the age of the patients. Future research should focus on conducting field studies to further expand knowledge on the metabolic effects of other commonly prescribed psychotropic drugs. Overall, the study highlights the significance of understanding and managing metabolic alterations induced by psychopharmacological treatment to enhance patient care and well-being.

Preventing type 2 diabetes: A research agenda for behavioural science

AIMS

The aim of this narrative review was to identify important knowledge gaps in behavioural science relating to type 2 diabetes prevention, to inform future research in the field.

METHODS

Seven researchers who have published behaviour science research applied to type 2 diabetes prevention independently identified several important gaps in knowledge. They met to discuss these and to generate recommendations to advance research in behavioural science of type 2 diabetes prevention.

RESULTS

A total of 21 overlapping recommendations for a research agenda were identified. These covered issues within the following broad categories: (a) evidencing the impact of whole population approaches to type 2 diabetes prevention, (b) understanding the utility of disease-specific approaches to type 2 diabetes prevention such as Diabetes Prevention Programmes (DPPs) compared to generic weight loss programmes, (c) identifying how best to increase reach and engagement of DPPs, whilst avoiding exacerbating inequalities, (d) the need to understand mechanism of DPPs, (e) the need to understand how to increase maintenance of changes as part of or following DPPs, (f) the need to assess the feasibility and effectiveness of alternative approaches to the typical self-regulation approaches that are most commonly used, and (g) the need to address emotional aspects of DPPs, to promote effectiveness and avoid harms.

CONCLUSIONS

There is a clear role for behavioural science in informing interventions to prevent people from developing type 2 diabetes, based on strong evidence of reach, effectiveness and cost-effectiveness. This review identifies key priorities for research needed to improve existing interventions.

The potential effect of metformin on cognitive and other symptom dimensions in patients with schizophrenia and antipsychotic-induced weight gain: a systematic review, meta-analysis, and meta-regression

Introduction

Metformin has shown good efficacy in the management of antipsychotic-induced metabolic syndrome (MetS) in patients with schizophrenia or schizoaffective disorders. Its ability to induce antidepressant behavioural effects and improve cognitive functions has also been investigated: yet information has not been systematized. The aim of this study was therefore to investigate the effects of metformin on cognitive and other symptom dimension in schizophrenic patients treated with antipsychotics through a systematic review and meta-analysis.

Methods

We searched PubMed, ClinicalTrials.Gov, Embase, PsycINFO, and WHO ICTRP database up to February 2022, Randomised Controlled Trials (RCT) evaluating patients diagnosed with schizophrenia and related disorders, who were treated with metformin as add-on therapy to antipsychotics for the treatment of weight gain and in which changes in psychiatric symptoms and cognitive functions were evaluated.

Results

A total of 19 RCTs met the inclusion criteria. Meta-analysis was performed on 12 eligible studies. We found a positive trend after 24 weeks of treatment in schizophrenic patients with stable conditions [SMD (95%CI) = -0.40 (-0.82;0.01), OR (95%CI) = 0.5 (-2.4;3.4)]. Better performance was detected in the Brief Assessment of Cognition in Schizophrenia and Positive and Negative Syndrome Scale (PANSS) with low heterogeneity among studies. One study reported changes in BACS-verbal memory subdomain in favour of placebo [MD (95%CI) = -16.03 (-23.65;8.42)]. Gastrointestinal disorders, xerostomia, and extrapyramidal syndrome were the most reported adverse effects. Psychiatric adverse events were also described: in particular, symptoms attributable to a relapse of schizophrenia.

Conclusion

Some degree of efficacy was found for Metformin in improving cognitive and other symptom dimensions in patients with Schizophrenia. Given the clinical relevance of this potential pharmacological effect, longer specific studies using adequate psychometric scales are strongly recommended. Likewise, how metformin acts in this context needs to be evaluated in order to enhance its efficacy or find more efficacious drugs.

The effectiveness and design of informed choice tools for people with severe mental illness: a systematic review

BACKGROUND

People with severe mental illness (SMI) report difficulty in making health-related decisions. Informed choice tools are designed to guide individuals through a decision-making process.

AIMS

To determine the effectiveness of these tools for people with SMI and to identify what methods and processes may contribute to effectiveness.

METHOD

A systematic electronic search was conducted for studies published between 1996 and January 2018. The search was updated in March 2020. Studies of any design reporting the development or evaluation of any informed choice tool for people with SMI were considered. A structured, narrative synthesis was conducted.

RESULTS

Ten articles describing four tools were identified. Tools were designed to assist with decision-making around bipolar treatment, smoking cessation and disclosure of mental illness in employment situations. Positive changes in decisional conflict, stage of change, knowledge and self-efficacy were reported for two tools, though insufficient data exists for definitive conclusions of effectiveness. Feedback from service users and attention to readability appeared key.

CONCLUSIONS

The evidence base for informed choice tools for people with SMI is limited. Such tools should be developed in stages and include the views of people with SMI at each phase; readability should be considered, and a theoretical framework should be used to facilitate process evaluation.

The role of mental disorders in precision medicine for diabetes: a narrative review

This narrative review aims to examine the value of addressing mental disorders as part of the care of people with type 1 and type 2 diabetes in terms of four components of precision medicine. First, we review the empirical literature on the role of common mental disorders in the development and outcomes of diabetes (precision prevention and prognostics). We then review interventions that can address mental disorders in individuals with diabetes or at risk of diabetes (precision treatment) and highlight recent studies that have used novel methods to individualise interventions, in person and through applications, based on mental disorders. Additionally, we discuss the use of detailed assessment of mental disorders using, for example, mobile health technologies (precision monitoring). Finally, we discuss future directions in research and practice and challenges to addressing mental disorders as a factor in precision medicine for diabetes. This review shows that several mental disorders are associated with a higher risk of type 2 diabetes and its complications, while there is suggestive evidence indicating that treating some mental disorders could contribute to the prevention of diabetes and improve diabetes outcomes. Using technologically enabled solutions to identify mental disorders could help individuals who stand to benefit from particular treatments. However, there are considerable gaps in knowledge and several challenges to be met before we can stratify treatment recommendations based on mental disorders. Overall, this review demonstrates that addressing mental disorders as a facet of precision medicine could have considerable value for routine diabetes care and has the potential to improve diabetes outcomes.

Should antidiabetic medicines be considered to reduce cardiometabolic risk in patients with serious mental illness?

Substantially reduced life expectancy for people with serious mental illness compared with the general population is primarily driven by physical health issues, of which cardiovascular disease is the leading cause. In this narrative review, we examine the evidence base for use of metformin and other antidiabetic agents as a means for reducing this excess cardiometabolic disease burden. Evidence from randomised controlled trials (RCTs) suggests substantial potential for metformin to prevent or manage weight gain and glycaemic impairment induced by atypical antipsychotic medications, whereas the impact of metformin on other cardiometabolic risk factors is less consistent. Evidence from RCTs also suggests potential benefits from glucagon-like peptide-1 receptor agonists (GLP-1RAs), particularly for addressing cardiometabolic risk factors in people using atypical antipsychotic medications, but this is based on a small number of trials and remains an emerging area of research. Trials of both metformin and GLP-1RAs suggest that these medications are associated with a high prevalence of mild-moderate gastrointestinal side effects. The heterogeneous nature of participant eligibility criteria and of antipsychotic and antidiabetic drug regimens, alongside short trial durations, small numbers of participants and paucity of clinical endpoints as trial outcomes, warrants investment in definitive trials to determine clinical benefits for both metformin and GLP-1RAs. Such trials would also help to confirm the safety profile of antidiabetic agents with respect to less common but serious adverse effects. The weight of RCT evidence suggests that an indication for metformin to address antipsychotic-induced weight gain is worth considering in Australia. This would bring us into line with other countries.

Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review

Background

Non-communicable diseases such as cardiovascular diseases, respiratory diseases and diabetes contribute to the majority of deaths in India. Public health programmes on non-communicable diseases (NCD) prevention primarily target the behavioural risk factors of the population. Hereditary is known as a risk factor for most NCDs, specifically, type 2 diabetes mellitus (T2DM), and hence, understanding of the genetic markers of T2DM may facilitate prevention, early case detection and management.

Main body

We reviewed the studies that explored marker-trait association with type 2 diabetes mellitus globally, with emphasis on India. Globally, single nucleotide polymorphisms (SNPs) rs7903146 of Transcription Factor 7-like 2 (TCF7L2) gene was common, though there were alleles that were unique to specific populations. Within India, the state-wise data were also taken to foresee the distribution of risk/susceptible alleles. The findings from India showcased the common and unique alleles for each region.

Conclusion

Exploring the known and unknown genetic determinants might assist in risk prediction before the onset of behavioural risk factors and deploy prevention measures. Most studies were conducted in non-representative groups with inherent limitations such as smaller sample size or looking into only specific marker-trait associations. Genome-wide association studies using data from extensive prospective studies are required in highly prevalent regions worldwide. Further research is required to understand the singular effect and the interaction of genes in predicting diabetes mellitus and other comorbidities.

Metabolic impact of a nutrition education program for the promotion of fruit and vegetable consumption with people with severe mental disorders (DIETMENT)

OBJECTIVES

The aim of this study is to determine the metabolic impact of a nutrition education program on metabolic parameters and the presence of metabolic syndrome (MetS).

RESULTS

Seventy-four patients were included (mean age, 48.7 years [Standard deviation, SD: 10.8], 55.4% men). The diagnoses of SMD were 37.8% schizophrenia and related disorders; 29.7% bipolar disorder; 25.7% depressive disorder; 4.1% personality disorders; and 2.7% obsessive compulsive disorders. Thirty-seven individuals were distributed in both the intervention group (IG) and the control group (CG). In the IG the presence of MetS was 56.3% and in the CG 46.7%, with no statistically significant difference (p = 0.309). At the end of the study, glomerular filtrate decreased in the IG, body mass index and abdominal perimeter increased in both groups, and there were no changes in metabolic parameters between the groups. Between the baseline and the end of the study, there was no increase in the number of patients diagnosed with MetS (14 at both points); and in the CG the increase was from 8 to 12 (p = 0.005). An intervention based on fruit and vegetable intake could prevent progression to MetS in individuals with SMD, decreasing the likelihood of cardiovascular disease. Trial registration The trial was retrospectively registered on International Standard Randomised Controlled Trial Number (ISRCTN) Register on 11 March 2022 (ISRCTN12024347).

Risk of Developing Type 2 Diabetes in Individuals With a Psychiatric Disorder: A Nationwide Register-Based Cohort Study

OBJECTIVE

Previous studies have investigated the incidence of type 2 diabetes in individuals with psychiatric disorders, but most studies have focused on a specific psychiatric disorder or a selected sample. More population-based studies are needed to determine these associations in representative samples. We therefore aimed to determine these associations in a nationwide, register-based dynamic cohort study.

RESEARCH DESIGN AND METHODS

We analyzed data from 5,005,612 adults living in Denmark between 1995 and 2018, without prior diabetes. We investigated 10 different categories of psychiatric disorders and a composite group with any psychiatric disorder. Individuals with a psychiatric disorder were compared with individuals without using multivariable-adjusted Poisson regression to estimate incidence rate ratios (IRR) of type 2 diabetes. We modeled age-specific incidence rates (IR) for individuals with and without the specific psychiatric disorder. All models were stratified by sex.

RESULTS

In total, 334,739 individuals developed type 2 diabetes during follow-up. For all investigated categories of psychiatric disorders, we found increased IR of type 2 diabetes for individuals with versus those without a psychiatric disorder (IRR: men, 1.47 [95% CI 1.45-1.50]; women, 1.65 [95% CI 1.62-1.68]). When we examined age-specific IR, the largest differences were found in the younger population (<50 years).

CONCLUSIONS

We found that the IR of type 2 diabetes was higher in individuals with a psychiatric disorder compared with individuals without a psychiatric disorder and particularly high in the younger people with a psychiatric disorder. New studies into the prevention and early detection of type 2 diabetes in these groups are warranted.

Lifestyle interventions for people with a severe mental illness living in supported housing: A systematic review and meta-analysis

Although supported housing facilities (SHF) appear to be an ideal setting for supporting people with severe mental illness (SMI) to obtain a healthier lifestyle, little is known about the effects of lifestyle interventions in SHF and the factors contributing to successful implementation. We performed a systematic review and meta-analysis to assess the effect of lifestyle interventions on mental and physical health in people with SMI in SHF, and reviewed which intervention factors contribute to successful implementation. A meta-analysis using a random effects model was undertaken. Discussions were reviewed to identify factors that foster successful implementation. Of 7401 identified studies, 9 RCTs (n = 1260) were included for the systematic review and 8 (n = 1187) for the meta-analysis. Improvements in weight (n = 3), BMI (n = 1), 6-Min Walk Test (n = 1) and metabolic criteria (n = 2) were seen. In the meta-analysis we only found a small effect for a decrease in waist circumference. Reviewing factors involved with the implementation showed that the most successfully implemented interventions were multidisciplinary and integrated into standard care. In conclusion, we found limited evidence for the effectiveness of lifestyle interventions on physical health for those living in SHF. To reliably examine the effects on mental and physical health, more studies with high involvement of staff and participants are needed.

Exploring the facilitators, barriers, and strategies for self-management in adults living with severe mental illness, with and without long-term conditions: A qualitative evidence synthesis

BACKGROUND

People living with severe mental illness (SMI) have a reduced life expectancy by around 15-20 years, in part due to higher rates of long-term conditions (LTCs) such as diabetes and heart disease. Evidence suggests that people with SMI experience difficulties managing their physical health. Little is known, however, about the barriers, facilitators and strategies for self-management of LTCs for people with SMI.

AIM

To systematically review and synthesise the qualitative evidence exploring facilitators, barriers and strategies for self-management of physical health in adults with SMI, both with and without long-term conditions.

METHODS

CINAHL, Conference Proceedings Citation Index- Science, HMIC, Medline, NICE Evidence and PsycInfo were searched to identify qualitative studies that explored barriers, facilitators and strategies for self-management in adults with SMI (with or without co-morbid LTCs). Articles were screened independently by two independent reviewers. Eligible studies were purposively sampled for synthesis according to the richness and relevance of data, and thematically synthesised.

RESULTS

Seventy-four articles met the inclusion criteria for the review; 25 articles, reporting findings from 21 studies, were included in the synthesis. Seven studies focused on co-morbid LTC self-management for people with SMI, with the remaining articles exploring self-management in general. Six analytic themes and 28 sub-themes were identified from the synthesis. The themes included: the burden of SMI; living with co-morbidities; beliefs and attitudes about self-management; support from others for self-management; social and environmental factors; and routine, structure and planning.

CONCLUSIONS

The synthesis identified a range of barriers and facilitators to self-management, including the burden of living with SMI, social support, attitudes towards self-management and access to resources. To adequately support people with SMI with co-morbid LTCs, healthcare professionals need to account for how barriers and facilitators to self-management are influenced by SMI, and meet the unique needs of this population.

Pharmacological Management of Glucose Dysregulation in Patients Treated with Second-Generation Antipsychotics

Fasting hyperglycemia, impaired glucose tolerance, prediabetes, and diabetes are frequently present in patients treated with second-generation antipsychotics (SGAPs) for schizophrenia, bipolar disorder, and other severe mental illnesses. These drugs are known to produce weight gain, which may lead to insulin resistance, glucose intolerance, and metabolic syndrome, which constitute important risk factors for the emergence of diabetes. The aim of this review was to formulate therapeutic guidelines for the management of diabetes in patients treated with SGAPs, based on the association between SGAP-induced weight gain and glucose dysregulation. A  systematic search in PubMed from inception to March 2020 for randomized controlled trials (RCTs) of diabetes or prediabetes in patients treated with SGAPs was performed. PubMed was also searched for the most recent clinical practice guidelines of interventions for co-morbid conditions associated with diabetes mellitus (DM) (arterial hypertension and dyslipidemia), lifestyle interventions and switching from high metabolic liability SGAPs to safer SGAPs. The search identified 14 RCTs in patients treated with SGAPs. Drug therapy using metformin as first-line therapy and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) or perhaps sodium-glucose cotransporter-2 (SGLT2) inhibitors as add-on therapy, might be preferred in these patients as well, as they favorably influence glucose metabolism and body mass index, and provide cardio-renal benefits in general to the DM population, although for the SGLT-2 inhibitors there are no RCTs in this specific patient category so far. Metformin is also useful for treatment of prediabetes. Arterial hypertension should be treated with angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers, and statins should be used for correction of dyslipidemia. The outcome of lifestyle-changing interventions has been disappointing. Switching from clozapine, olanzapine, or quetiapine to lower cardiometabolic-risk SGAPs, like aripiprazole, brexpiprazole, cariprazine, lurasidone, or ziprasidone, has been recommended.

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.

Interventions for preventing type 2 diabetes in adults with mental disorders in low- and middle-income countries

BACKGROUND

The prevalence of type 2 diabetes is increased in individuals with mental disorders. Much of the burden of disease falls on the populations of low- and middle-income countries (LMICs).

OBJECTIVES

To assess the effects of pharmacological, behaviour change, and organisational interventions versus active and non-active comparators in the prevention or delay of type 2 diabetes among people with mental illness in LMICs.

SEARCH METHODS

We searched the Cochrane Common Mental Disorders Controlled Trials Register, CENTRAL, MEDLINE, Embase and six other databases, as well as three international trials registries. We also searched conference proceedings and checked the reference lists of relevant systematic reviews. Searches are current up to 20 February 2020.

SELECTION CRITERIA

Randomized controlled trials (RCTs) of pharmacological, behavioural or organisational interventions targeting the prevention or delay of type 2 diabetes in adults with mental disorders in LMICs.

DATA COLLECTION AND ANALYSIS

Pairs of review authors working independently performed data extraction and risk of bias assessments. We conducted meta-analyses using random-effects models.

MAIN RESULTS

One hospital-based RCT with 150 participants (99 participants with schizophrenia) addressed our review's primary outcome of prevention or delay of type 2 diabetes onset. Low-certainty evidence from this study did not show a difference between atypical and typical antipsychotics in the development of diabetes at six weeks (risk ratio (RR) 0.46, 95% confidence interval (CI) 0.03 to 7.05) (among a total 99 participants with schizophrenia, 68 were in atypical and 31 were in typical antipsychotic groups; 55 participants without mental illness were not considered in the analysis). An additional 29 RCTs with 2481 participants assessed one or more of the review's secondary outcomes. All studies were conducted in hospital settings and reported on pharmacological interventions. One study, which we could not include in our meta-analysis, included an intervention with pharmacological and behaviour change components. We identified no studies of organisational interventions. Low- to moderate-certainty evidence suggests there may be no difference between the use of atypical and typical antipsychotics for the outcomes of drop-outs from care (RR 1.31, 95% CI 0.63 to 2.69; two studies with 144 participants), and fasting blood glucose levels (mean difference (MD) 0.05 lower, 95% CI 0.10 to 0.00; two studies with 211 participants). Participants who receive typical antipsychotics may have a lower body mass index (BMI) at follow-up than participants who receive atypical antipsychotics (MD 0.57, 95% CI 0.33 to 0.81; two studies with 141 participants; moderate certainty of evidence), and may have lower total cholesterol levels eight weeks after starting treatment (MD 0.35, 95% CI 0.27 to 0.43; one study with 112 participants). There was moderate certainty evidence suggesting no difference between the use of metformin and placebo for the outcomes of drop-outs from care (RR 1.22, 95% CI 0.09 to 16.35; three studies with 158 participants). There was moderate-to-high certainty evidence of no difference between metformin and placebo for fasting blood glucose levels (endpoint data: MD -0.35, 95% CI -0.60 to -0.11; change from baseline data: MD 0.01, 95% CI -0.21 to 0.22; five studies with 264 participants). There was high certainty evidence that BMI was lower for participants receiving metformin compared with those receiving a placebo (MD -1.37, 95% CI -2.04 to -0.70; five studies with 264 participants; high certainty of evidence). There was no difference between metformin and placebo for the outcomes of waist circumference, blood pressure and cholesterol levels. Low-certainty evidence from one study (48 participants) suggests there may be no difference between the use of melatonin and placebo for the outcome of drop-outs from care (RR 1.00, 95% CI 0.38 to 2.66). Fasting blood glucose is probably reduced more in participants treated with melatonin compared with placebo (endpoint data: MD -0.17, 95% CI -0.35 to 0.01; change from baseline data: MD -0.24, 95% CI -0.39 to -0.09; three studies with 202 participants, moderate-certainty evidence). There was no difference between melatonin and placebo for the outcomes of waist circumference, blood pressure and cholesterol levels. Very low-certainty evidence from one study (25 participants) suggests that drop-outs may be higher in participants treated with a tricyclic antidepressant (TCA) compared with those receiving a selective serotonin reuptake inhibitor (SSRI) (RR 0.34, 95% CI 0.11 to 1.01). It is uncertain if there is no difference in fasting blood glucose levels between these groups (MD -0.39, 95% CI -0.88 to 0.10; three studies with 141 participants, moderate-certainty evidence). It is uncertain if there is no difference in BMI and depression between the TCA and SSRI antidepressant groups.

AUTHORS' CONCLUSIONS

Only one study reported data on our primary outcome of interest, providing low-certainty evidence that there may be no difference in risk between atypical and typical antipsychotics for the outcome of developing type 2 diabetes. We are therefore not able to draw conclusions on the prevention of type 2 diabetes in people with mental disorders in LMICs. For studies reporting on secondary outcomes, there was evidence of risk of bias in the results. There is a need for further studies with participants from LMICs with mental disorders, particularly on behaviour change and on organisational interventions targeting prevention of type 2 diabetes in these populations.

Reprint of: Blood Sugar Regulation for Cardiovascular Health Promotion and Disease Prevention: JACC Health Promotion Series

The primary objective of this study was to analyze the most up-to-date evidence regarding whether and how blood sugar regulation influences cardiovascular health promotion and disease prevention by carrying out an umbrella review. Three separate, systematic literature searches identified 2,343 papers in total. Overall, 44 studies were included for data extraction and analysis. The included systematic reviews and meta-analyses published between January 1, 2016, and December 31, 2017, were of good to very good quality (median Overview Quality Assessment Questionnaire score = 17). Identified evidence suggests that cardiovascular disease (CVD) prevention services should consider regulation of blood glucose as a key target for intervention. Furthermore, the recommendations for effective intervention and service development/training described here for prevention of CVD should be adopted into evidence-based practice guidelines. Multidisciplinary teams should be formed to deliver multicomponent interventions in community-based settings. There may be substantial opportunities for integrating CVD and diabetes prevention services.

Blood Sugar Regulation for Cardiovascular Health Promotion and Disease Prevention: JACC Health Promotion Series

The primary objective of this study was to analyze the most up-to-date evidence regarding whether and how blood sugar regulation influences cardiovascular health promotion and disease prevention by carrying out an umbrella review. Three separate, systematic literature searches identified 2,343 papers in total. Overall, 44 studies were included for data extraction and analysis. The included systematic reviews and meta-analyses published between January 1, 2016, and December 31, 2017, were of good to very good quality (median Overview Quality Assessment Questionnaire score = 17). Identified evidence suggests that cardiovascular disease (CVD) prevention services should consider regulation of blood glucose as a key target for intervention. Furthermore, the recommendations for effective intervention and service development/training described here for prevention of CVD should be adopted into evidence-based practice guidelines. Multidisciplinary teams should be formed to deliver multicomponent interventions in community-based settings. There may be substantial opportunities for integrating CVD and diabetes prevention services.

Metformin for Weight Gain Associated with Second-Generation Antipsychotics in Children and Adolescents: A Systematic Review and Meta-Analysis

BACKGROUND

Weight gain is a potentially concerning side effect of second-generation antipsychotics (SGAs). Metformin, a biguanide with antihyperglycemic effects, is used to manage weight gain in adults treated with SGAs.

OBJECTIVE

The objective of this study was to perform the first systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the effects of metformin on weight gain in children and adolescents treated with SGAs.

METHODS

Based on a pre-registered protocol (PROSPERO-CRD42017074839), we searched the PubMed, EMBASE, PsychoINFO, BIOSIS, Science Direct, Cochrane Central, and ClinicalTrials.gov electronic databases through March 2018 (with no restrictions on language, date, or type of publication) for RCTs that assessed the effect of metformin or placebo on body weight in children or adolescents (< 18 years of age) treated with selected SGAs (risperidone, aripiprazole, olanzapine, and clozapine) for any psychiatric disorder. We also contacted relevant drug manufacturers for possible additional pertinent studies/data. A random effects model was used and the quality of the included RCTs was assessed using the Cochrane Risk of Bias tool.

RESULTS

Five RCTs (205 participants in total) were included in the meta-analysis. We found a significant weight decrease in the metformin group compared with placebo after 4, 12, and 16 weeks of treatment {mean difference - 0.98 kg (95% confidence interval [CI] - 1.26, - 0.69); - 1.83 kg (95% CI - 2.47, - 1.18); and - 3.23 kg (95% CI - 5.59, - 0.86), respectively}. A weight decrease at weeks 2 and 8 did not reach statistical significance. The decrease in body mass index (BMI) paralleled that of weight, with a significant effect at weeks 4, 12, and 16. Overall, four studies were rated as unclear, and one study was rated as high, risk of bias.

CONCLUSION

Meta-analytical evidence shows that metformin might decrease weight in children/adolescents treated with SGAs but additional high-quality evidence is needed. Clinicians need to be aware that this use of metformin is currently off-label.

Cardio-metabolic risk and its management in a cohort of clozapine-treated outpatients

OBJECTIVE

To comprehensively assess cardio-metabolic risk factors and their management in a large sample of outpatients treated with clozapine.

METHODS

Observational cross-sectional study of all clozapine users attending specialized clozapine monitoring outpatient clinics in three public hospitals in Sydney, Australia were approached to participate over the one-year period 01/10/2015-30/09/2016. Cardio-metabolic risk factors including metabolic syndrome, risk for future development of diabetes, smoking, physical activity, nutrition, and prescribed medications were assessed at face-to-face interview and through medical record review. Among patients who had cardio-metabolic risk factors, the proportion receiving appropriate management was assessed.

RESULTS

Of 451 registered clozapine clinic attenders, 92.2% completed questionnaires and anthropometric measurements. 58.3% met criteria for metabolic syndrome. 79.6% were overweight or obese. 55.9% had blood pressure meeting metabolic syndrome criteria. 46.6% had elevated fasting blood glucose and 55.2% had elevated blood triglycerides. 43.6% were current smokers. Only 10% achieved recommended weekly physical activity levels. Unhealthy food categories were highly consumed. 32.1% were on additional antipsychotics. In the majority of individuals, cardio-metabolic risk factors were untreated or under-treated.

CONCLUSIONS

Clozapine use was associated with very high rates of cardiovascular and metabolic risk factors, which were frequently under-treated. Management of both physical and mental health should be prioritized. Polypharmacy should be rationalized. Future research should investigate the effectiveness of smoking cessation and lifestyle interventions in this high-risk population.

Tackling obesity in mental health secure units: a mixed method synthesis of available evidence

BACKGROUND

The prevalence and incidence of obesity are high in people with severe mental illness (SMI). In England, around 6000 people with SMI access care from secure mental health units. There is currently no specific guidance on how to reduce the risk of obesity-related morbidity and mortality in this population.

AIMS

To identify international evidence that addresses the issue of obesity in mental health secure units.

METHOD

A mixed method review of evidence (published 2000-2015) was carried out to assess obesity prevalence, intervention and policy change, as well as barriers to change.

RESULTS

Evidence from 22 mainly small, non-comparator studies (reported in 21 papers) using a range of methods was reviewed. Dietary, physical activity and cultural interventions being implemented within secure units to address the problem of obesity showed some promising outcomes for physical health and health education. These were facilitated by adequate organisational resources, staff training and motivated staff. Holistic interventions that included a social and/or competitive element were more likely to be taken up. Involving patients in decision-making mediated the tension between facilitating behaviour change and imposing control. Barriers to successful outcomes included patient movement in and out of units, severity of mental health condition and resistance to change by patients and staff.

CONCLUSIONS

Despite the promising outcomes reported, further assessment is needed of the feasibility, acceptability and effectiveness of interventions and policies targeting the obesogenic environment, using robust research methods.

DECLARATION OF INTEREST

None.

Mechanisms in endocrinology: Antipsychotic medication and type 2 diabetes and impaired glucose regulation

OBJECTIVE

There have been concerns about the effects of antipsychotics on weight gain and the development of type 2 diabetes (T2DM). This article aims to provide an up-to-date review on the evidence addressing this issue and the practical implications for the management of people taking antipsychotics in the context of T2DM.

METHODS

We carried out searches on MEDLINE/PUBMED and the ClinicalTrials.gov website in August 2017 using the terms 'antipsychotic' and 'diabetes' or 'glucose' citing articles published after 2006 preferentially.

RESULTS

Antipsychotics are associated with T2DM and are likely to exert a causal effect of uncertain magnitude. Children and adolescents appear especially vulnerable to these metabolic effects; as T2DM is not common in healthy younger people, the relative risk is more apparent. Antipsychotics act on glucose and insulin homeostasis in a variety of direct and indirect mechanisms. To reduce the increasing health inequalities among individuals with mental illness screening, monitoring and prevention of T2DM is important, as is improved diabetes care in this population.

CONCLUSION

It remains unclear whether these antipsychotic medications exacerbate an underlying predisposition to the development of T2DM or have a direct effect. Potential risks need to be weighed up and balanced between improved and lasting mental health benefits and any detrimental physical health side effects. Achieving parity of esteem between mental and physical health is a worldwide priority if we wish to improve life expectancy and quality of life in people with severe mental illness.

Parity of esteem: Addressing the inequalities between mental and physical healthcare

Parity of esteem means valuing mental health as much as physical health in order to close inequalities in mortality, morbidity or delivery of care. There is clear evidence that patients with mental illness receive inferior medical, surgical and preventive care. This further exacerbated by low help-seeking, high stigma, medication side-effects and relatively low resources in mental healthcare. As a result, patients with severe mental illness die 10–20 years prematurely and have a high rate of cardiometabolic complications and other physical illnesses. Many physical healthcare guidelines and policy recommendations address parity of esteem, but their implementation to date has been poor. All clinicians should be aware that inequalities in care are adversely influencing mental health outcomes, and managers, healthcare organisations and politicians should provide resources and education to address this gap.

Learning Objectives

• Understand the concept of parity of esteem

• Be aware of the current inequalities in mental healthcare

• Appreciate how parity of esteem may be improved

The Representativeness of Participants With Severe Mental Illness in a Psychosocial Clinical Trial

Introduction: Cardiovascular morbidity and mortality are increased in severe mental illnesses (SMI). Trials of psychosocial health interventions to improve physical health in SMI, including in treatment-resistant schizophrenia, have shown some benefit. However, the representativeness of participants in such trials has not been determined. Method: We utilized an anonymised case register to determine if participants in a randomized controlled trial (RCT) of a novel psychosocial health intervention aiming to improve physical health in SMI had similar severity of illness to eligible non-participants. A retrospective database analysis was performed, using Health of the Nation Outcome Scale (HoNOS) data from the sample of patients participating in the IMPaCT (Improving Physical health and reducing substance use in Psychosis) RCT (n = 293) compared to all eligible participants with a psychotic illness (n = 774). Results: The mean total HoNOS score in the eligible comparator population (Mean = 9.09, SD = 5.8, range = 0-30) was significantly greater than that of the IMPaCT RCT participants (Mean = 7.16, SD = 4.7, range = 0-26), (t = 3.810, p = 0.006), as was the degree of overall illness severity and functional impairment, as measured by HoNOS. Conclusion: This study shows for the first time that the patient population participating in an RCT of a lifestyle intervention for those with SMI had a better mental health status at entry to the trial, than the total eligible population, although there was no difference in physical health needs. This has relevance to the applicability of RCTs of lifestyle interventions in service planning and suggests that when people are more unwell, greater effort may be needed to include them in psychosocial interventions. A more careful and focused recruitment approach should be followed to improve the participation of the more severely ill patients in psychosocial interventions in order to enhance the external validity of such studies.

Improving physical health of patients with severe mental disorders: a critical review of lifestyle psychosocial interventions

INTRODUCTION

People with severe mental disorders have a mortality rate that is more than two times higher than the general population, with at least a decade of potential years of life lost. People with mental disorders have a significantly higher risk of obesity, hyperglycemia and metabolic syndrome, which are related to modifiable risk factors, such as heavy smoking, poor physical activities, and inappropriate unhealthy diet, which can be improved through lifestyle changes. Areas covered: Lifestyle behaviours are amenable to change through the adoption of specific psychosocial interventions, and several approaches have been promoted. In the present review, the authors aim to: 1) critically analyze studies involving multimodal lifestyle interventions; 2) discuss the way forward to integrate these interventions in clinical routine care. Expert commentary: The psychoeducational approaches developed for the improvement of healthy lifestyle behaviours differ for several aspects: 1) the format (individual vs. group); 2) the setting (outpatient vs. inpatient vs. home-based); 3) the professional characteristics of the staff running the intervention (psychiatrists or nurses or dietitians or psychologists); 4) the active ingredients of the intervention (education only or inclusion of motivational interview or of problem solving); 5) the duration of treatment (ranging from 3 months to 2 years).