"If you're struggling, you don't really care" - what affects the physical health of young people on child and adolescent mental health inpatient units? A qualitative study with service users and staff.

BACKGROUND: Physical health inequalities of people with serious mental illness (SMI) have been labelled an international scandal; due to the 15-20-year reduction in life expectancy associated with poor physical health. This occurs at an early stage and evidence shows young people with and at risk for SMI are a particularly vulnerable group requiring intervention and support. However, most work has been conducted with adults and little is known about what affects physical health for young people, specifically those receiving inpatient care. METHODS: We conducted semi-structured qualitative interviews with 7 service users and 6 staff members (85% female, age 14-42) on a generic mental health inpatient unit for children and adolescents. Interviews aimed to identify how young people viewed theirphysical health and factors affecting physical health and lifestyle and identify any support needed to improve physical health. Thematic analysis was conducted. . RESULTS: Thematic analysis revealed the main factors affecting physical health and lifestyle for young people. Three main themes were individual factors (subthemes were mental health symptoms, knowledge, attitudes and beliefs), environmental factors (subthemes were opportunities in a restricted environment and food provision), and the influence of others (subthemes were peers, staff, family members). These factors often overlapped and could promote a healthy lifestyle or combine to increase the risk of poor physical health. Young people discussed their preferences for physical health initiatives and what would help them to live a healthier lifestyle. CONCLUSIONS: Promoting physical health on inpatient units for young people is an important, yet neglected area of mental health research. We have identified a range of complex factors which have an impact on their physical health, and there is a pervasive need to address the barriers that young people experience to living a healthy lifestyle. There is an increasingly strong evidence base suggesting the benefits of physical health interventions to improve outcomes, and future work should identify ways to implement such interventions considering the barriers discussed in this article. Further collaborative research is needed with young people, clinical teams, caregivers, and commissioners to ensure improvements are made to clinical care provision and optimisation of the inpatient environment.

Digital Lifestyle Interventions for Young People With Mental Illness: A Qualitative Study Among Mental Health Care Professionals.

BACKGROUND: Given the physical health disparities associated with mental illness, targeted lifestyle interventions are required to reduce the risk of cardiometabolic disease. Integrating physical health early in mental health treatment among young people is essential for preventing physical comorbidities, reducing health disparities, managing medication side effects, and improving overall health outcomes. Digital technology is increasingly used to promote fitness, lifestyle, and physical health among the general population. However, using these interventions to promote physical health within mental health care requires a nuanced understanding of the factors that affect their adoption and implementation. OBJECTIVE: Using a qualitative design, we explored the attitudes of mental health care professionals (MHCPs) toward digital technologies for physical health with the goal of illuminating the opportunities, development, and implementation of the effective use of digital tools for promoting healthier lifestyles in mental health care. METHODS: Semistructured interviews were conducted with MHCPs (N=13) using reflexive thematic analysis to explore their experiences and perspectives on using digital health to promote physical health in youth mental health care settings. RESULTS: Three overarching themes from the qualitative analysis are reported: (1) motivation will affect implementation, (2) patients' readiness and capability, and (3) reallocation of staff roles and responsibilities. The subthemes within, and supporting quotes, are described. CONCLUSIONS: The use of digital means presents many opportunities for improving the provision of physical health interventions in mental health care settings. However, given the limited experience of many MHCPs with these technologies, formal training and additional support may improve the likelihood of implementation. Factors such as patient symptomatology, safety, and access to technology, as well as the readiness, acceptability, and capability of both MHCPs and patients to engage with digital tools, must also be considered. In addition, the potential benefits of data integration must be carefully weighed against the associated risks.

Motiv8: a study protocol for a cluster-randomised feasibility trial of a weight management intervention for adults with severe mental illness in secure forensic services.

INTRODUCTION: People with severe mental illness have physical comorbidities which result in significant reductions in quality of life and premature mortality. Effective interventions are required that are suitable for people in secure forensic mental health services. We conducted pilot work of a multidisciplinary weight management intervention (Motiv8) which showed improvements in physical and mental health and high levels of satisfaction. We aim to test the feasibility of Motiv8 under cluster randomised conditions, with an aim to investigate the acceptability, feasibility and potential effectiveness of this intervention to supplement standard secure care. METHODS AND ANALYSIS: A randomised waitlist-controlled feasibility trial of a lifestyle intervention (Motiv8) + TAU compared with TAU (+ Motiv8 waitlist) for adults on secure mental health units will be conducted. Thirty-two people (4 cohorts) will be recruited from secure services in Greater Manchester Mental Health NHS Foundation Trust. Participants will be randomly allocated to Motiv8 or TAU + Motiv8 waitlist. All participants will receive Motiv8 during the trial. Assessor-blinded physical/mental health and lifestyle assessments will be conducted at baseline, 10 weeks (post-intervention/waitlist), and after 12 weeks (post-waitlist intervention/follow-up). Motiv8 is a multidisciplinary intervention including exercise sessions, cooking/nutrition classes, physical health education, psychology sessions, sleep hygiene, peer support and medication review by pharmacy. A nested qualitative study will be conducted with a subsample of participants (n = 10) to explore their experiences of taking part. The analysis will focus on feasibility outcomes and tabulated success indicators of the study (e.g. Recruitment rates, retention rates, follow-up retention and response rates, attendance at sessions, the experience of involvement in the trial and delivery of the intervention, assessment of safety, development of a manualised intervention). Thematic analysis will be conducted through qualitative interviews. The analysis will aim to inform the development of a definitive trial. ETHICS AND DISSEMINATION: The trial has been granted ethical approval from the NHS Health Research Authority and adopted onto the UK Clinical Research Network Portfolio. Findings will be disseminated via peer-reviewed publications, professional and public networks, conferences and clinical services. TRIAL REGISTRATION: ISRCTN13539285.

Using digital technology to promote physical health in mental healthcare: A sequential mixed-methods study of clinicians' views.

AIM: Recent years have seen innovation in 'mHealth' tools and health apps for the management/promotion of physical health and fitness across the general population. However, there is limited research on how this could be applied to mental healthcare. Therefore, we examined mental healthcare professionals' current uses and perceived roles of digital lifestyle interventions for promoting healthy lifestyles, physical health and fitness in youth mental healthcare. METHODS: A sequential, mixed-methods design was used, consisting of a quantitative online survey, followed by qualitative in-depth interviews. RESULTS: A total of 127 mental healthcare professionals participated in the online survey. Participants had limited mHealth experience, and the majority agreed that further training would be beneficial. Thirteen mental healthcare professionals were interviewed. Five themes were generated (i) digital technology's ability to enhance the physical healthcare; (ii) Conditions for the acceptability of apps; (iii) Limitations on staff capability and time; (iv) Motivation as the principal barrier; and (v) Practicalities around receiving lifestyle data. Systematic integration of data produced novel insights around: (i) staff involvement and needs; (ii) ideal focus and content of digital lifestyle interventions; and (iii) barriers towards implementation (including mental healthcare professionals own limited experience using digital lifestyle interventions, which aligned with the appeal of formal training). CONCLUSIONS: Overall, digital lifestyle interventions were positively received by mental healthcare professionals, particularly for health behaviour-tracking and mHealth support for exercise and nutrition. Practical suggestions for facilitating their uptake/implementation to improve availability of physical health interventions in mental healthcare are presented.

The Impact of Pharmacological and Non-Pharmacological Interventions to Improve Physical Health Outcomes in People With Schizophrenia: A Meta-Review of Meta-Analyses of Randomized Controlled Trials.

(Reprinted with permission from World Psychiatry 2019;18:53-66).

The clinical and behavioral cardiometabolic risk of children and young people on mental health inpatient units: A systematic review and meta-analysis.

OBJECTIVE: Serious mental illness is associated with physical health comorbidities, however most research has focused on adults. We aimed to synthesise existing literature on clinical and behavioral cardiometabolic risk factors of young people on mental health inpatient units. METHODS: A systematic review and meta-analysis was conducted, using electronic searches of PsycINFO, EMBASE, AMED, Cochrane Central Register of Controlled Trials, and Ovid MEDLINE. Eligible studies included child/adolescent mental health inpatient units for <25 years, reporting clinical/behavioral cardiometabolic risk factors. Studies containing adult samples, case-studies, or eating disorder populations were excluded. The main clinical outcome was weight, and main behavioral outcome was tobacco use. RESULTS: Thirty-nine studies were identified (n = 809,185). Pooled prevalence rates of young people who were overweight (BMI > 25) was 32.4% (95% CI 26.1%-39.5%; n = 2789), and who were obese (BMI > 30) was 15.5% (95% CI 4.5%-41.6%; n = 2612). Pooled prevalence rates for tobacco use was 51.5% (95% CI 32.2-70.2; N = 804,018). Early signs of metabolic risk were observed; elevated blood cholesterol, presence of physical health conditions, and behavioral risk factors (e.g. physical inactivity). CONCLUSIONS: This review highlights the vulnerability of young people admitted to inpatient units and emphasises the opportunity to efficiently monitor, treat and intervene to target physical and mental health.

Exercise interventions in child and adolescent mental health care: An overview of the evidence and recommendations for implementation.

Background: The use of physical activity interventions in mental health care for adults has a large academic evidence base and numerous examples of real-world implementation. However, the use of physical activity within mental health care for children and young people (CYP) has received less attention to date. Methods: A narrative review was conducted to summarize the relevant literature in the area. Online databases were searched using terms synonymous with CYP, exercise, physical health, and mental health. Findings from existing systematic reviews, meta-analyses, meta-syntheses, and consensus statements were reviewed, and used alongside the authors' experience to inform clinical recommendations. Results: We first discuss the importance of applying physical health interventions in early stages of mental illness for CYP to prevent physical comorbidities and premature mortality in the long term. We then provide a brief summary of the current evidence of the benefits of exercise interventions in CYP with mental illness. We then present our top five recommendations on the implementation of exercise interventions within CYP mental health care. Conclusion: The key conclusions from this suggest there is an increasingly strong evidence base for the benefits of using physical activity interventions to improve, prevent, and manage physical and mental health outcomes in CYP with mental illness. However, more work needs to be done to improve the evidence base, refine its implementation into standard mental health care, and develop strategies for large-scale dissemination of such interventions across various care and cultural contexts.

Physical health interventions on adolescent mental health inpatient units: A systematic review and call to action.

AIM: Physical health inequalities experienced by people with mental health conditions are labelled an international scandal; due to the 15 to 30-year gap in life expectancy, driven mostly by physical health conditions. Lifestyle interventions are recommended to prevent the onset of poor physical health in people with mental illness. Yet, there is less high-quality evidence for adolescents, particularly those in inpatient settings. We aimed to assess existing literature reporting physical health or lifestyle interventions conducted on adolescent mental health inpatient units. METHOD: An electronic search of MEDLINE, PsycINFO, Embase, the Cochrane Central Register of Controlled Trials and AMED was conducted on 13th June 2019. Eligible studies included peer-reviewed English language research articles of physical health interventions delivered within child and adolescent mental health inpatient services. A narrative synthesis was conducted on the data. RESULTS: Only three studies were identified implementing health interventions for adolescent inpatients. The interventions consisted of two physical health interventions aiming to increase activity levels within routine care (one gym-based, one sports led) and a yoga intervention. Outcome measurements varied and benefits were observed in relation to overall health (HONOSCA), physical health (waist, hip and chest circumference) and behaviour. CONCLUSIONS: Although preliminary results suggest lifestyle interventions may be feasible and beneficial for this group, more work is needed to fully understand the best way to implement these interventions within adolescent clinical settings. Adolescent inpatients are an important target for such interventions, affording the opportunity to prevent the onset of physical comorbidities.

What does recovery mean to young people with mental health difficulties? - "It's not this magical unspoken thing, it's just recovery".

Background: There is extensive literature documenting the nature of recovery in mental health in adult populations, but there is very little exploring its nature and meaning for young people.Aims: To gain a detailed understanding from the perspective of young people about the concept of recovery in young people's mental health.Method: Semi structured interviews were conducted with 23 young people. Interviews were transcribed verbatim and analysed using thematic analysis.Results: Themes emerging from the interviews included young people's dynamic conceptualisations of recovery, awareness of others views of recovery, polarised goals of recovery, and facilitators and barriers of recovery.Conclusions: To be relevant for young people, the mental health recovery model must incorporate individual needs, developmental considerations and fluctuations in goals. It must also be embedded within the young person's ecological system such as family, friends and school, and be focussed around an explicit and collaborative recovery discussion with the young person.

Exercise as Medicine for Mental and Substance Use Disorders: A Meta-review of the Benefits for Neuropsychiatric and Cognitive Outcomes.

BACKGROUND: Exercise may improve neuropsychiatric and cognitive symptoms in people with mental disorders, but the totality of the evidence is unclear. We conducted a meta-review of exercise in (1) serious mental illness (schizophrenia spectrum, bipolar disorder and major depression (MDD)); (2) anxiety and stress disorders; (3) alcohol and substance use disorders; (4) eating disorders (anorexia nervosa bulimia nervosa, binge eating disorders, and (5) other mental disorders (including ADHD, pre/post-natal depression). METHODS: Systematic searches of major databases from inception until 1/10/2018 were undertaken to identify meta-analyses of randomised controlled trials (RCTs) of exercise in people with clinically diagnosed mental disorders. In the absence of available meta-analyses for a mental disorder, we identified systematic reviews of exercise interventions in people with elevated mental health symptoms that included non-RCTs. Meta-analysis quality was assessed with the AMSTAR/+. RESULTS: Overall, we identified 27 systematic reviews (including 16 meta-analyses representing 152 RCTs). Among those with MDD, we found consistent evidence (meta-analyses = 8) that exercise reduced depression in children, adults and older adults. Evidence also indicates that exercise was more effective than control conditions in reducing anxiety symptoms (meta-analyses = 3), and as an adjunctive treatment for reducing positive and negative symptoms of schizophrenia (meta-analyses = 2). Regarding neurocognitive effects, exercise improved global cognition in schizophrenia (meta-analyses = 1), children with ADHD (meta-analyses = 1), but not in MDD (meta-analyses = 1). Among those with elevated symptoms, positive mental health benefits were observed for exercise in people with pre/post-natal depression, anorexia nervosa/bulimia nervosa, binge eating disorder, post-traumatic stress disorder and alcohol use disorders/substance use disorders. Adverse events were sparsely reported. CONCLUSION: Our panoramic meta-overview suggests that exercise can be an effective adjunctive treatment for improving symptoms across a broad range of mental disorders.

Evaluation of the physical health of adolescent in-patients in generic and secure services: retrospective case-note review.

AIMS AND METHOD: To assess physical health needs of adolescent in-patients by routine monitoring. A retrospective analysis of case notes was conducted on a 6-month intake to generic and secure adolescent mental health units in Greater Manchester, UK. RESULTS: Fifty individuals were admitted (52% female, average age 15.84 years). Diagnoses varied and 66% were prescribed medications before admission. All had a physical health assessment, which identified various physical health risk factors. Average body mass index was 25.99 (range 15.8-44), and increased during in-patient treatment for 84% of individuals who had their body mass recorded more than once. A total of 28% of individuals smoked. Lipids and prolactin levels were elevated across the sample. CLINICAL IMPLICATIONS: This evaluation strengthens the argument to optimise physical healthcare for adolescent in-patients and develop physical health interventions, particularly given that we observed elevated lipids and prolactin. Physical health and well-being may not be prioritised when assessing and managing young peoples' mental health, despite their increased vulnerability for comorbid conditions.

The Effects of Dietary Improvement on Symptoms of Depression and Anxiety: A Meta-Analysis of Randomized Controlled Trials.

OBJECTIVE: Poor diet can be detrimental to mental health. However, the overall evidence for the effects of dietary interventions on mood and mental well-being has yet to be assessed. We conducted a systematic review and meta-analysis examining effects of dietary interventions on symptoms of depression and anxiety. METHODS: Major electronic databases were searched through March 2018 for all randomized controlled trials of dietary interventions reporting changes in symptoms of depression and/or anxiety in clinical and nonclinical populations. Random-effects meta-analyses were conducted to determine effect sizes (Hedges' g with 95% confidence intervals [CI]) for dietary interventions compared with control conditions. Potential sources of heterogeneity were explored using subgroups and meta-regression analyses. RESULTS: Results: Sixteen eligible randomized controlled trials (published in English) with outcome data for 45,826 participants were included; the majority of which examined samples with nonclinical depression (n = 15 studies). Nonetheless, dietary interventions significantly reduced depressive symptoms (g = 0.162, 95% CI = 0.055 to 0.269, p = 0.003). Similar effects were observed among high-quality trials (g = 0.171, 95% C.I.=0.057 to 0.286, p=0.003) and when compared with both inactive (g = 0.114, 95% C.I.=0.008 to 0.219, p=0.035) and active controls (g = 0.224, 95% C.I.= 0.052 to 0.397, p = 0.011). No effect of dietary interventions was observed for anxiety (k = 11, n = 2270, g = 0.085, 95% C.I. = -0.031 to 0.202, p=0.151). Studies with female samples observed significantly greater benefits from dietary interventions, for symptoms of both depression and anxiety. CONCLUSIONS: Dietary interventions hold promise as a novel intervention for reducing symptoms of depression across the population. Future research is required to determine the specific components of dietary interventions that improve mental health, explore underlying mechanisms, and establish effective schemes for delivering these interventions in clinical and public health settings. REGISTRATION: PROSPERO Online Protocol: CRD42018091256.

The impact of pharmacological and non-pharmacological interventions to improve physical health outcomes in people with schizophrenia: a meta-review of meta-analyses of randomized controlled trials.

We summarized and compared meta-analyses of pharmacological and non-pharmacological interventions targeting physical health outcomes among people with schizophrenia spectrum disorders. Major databases were searched until June 1, 2018. Of 3,709 search engine hits, 27 meta-analyses were included, representing 128 meta-analyzed trials and 47,231 study participants. While meta-analyses were generally of adequate or high quality, meta-analyzed studies were less so. The most effective weight reduction interventions were individual lifestyle counseling (standardized mean difference, SMD=-0.98) and exercise interventions (SMD=-0.96), followed by psychoeducation (SMD=-0.77), aripiprazole augmentation (SMD=-0.73), topiramate (SMD=-0.72), d-fenfluramine (SMD=-0.54) and metformin (SMD=-0.53). Regarding waist circumference reduction, aripiprazole augmentation (SMD=-1.10) and topiramate (SMD=-0.69) demonstrated the best evidence, followed by dietary interventions (SMD=-0.39). Dietary interventions were the only to significantly improve (diastolic) blood pressure (SMD=-0.39). Switching from olanzapine to quetiapine or aripiprazole (SMD=-0.71) and metformin (SMD=-0.65) demonstrated best efficacy for reducing glucose levels, followed by glucagon-like peptide-1 receptor agonists (SMD=-0.39), dietary interventions (SMD=-0.37) and aripiprazole augmentation (SMD=-0.34), whereas insulin resistance improved the most with metformin (SMD=-0.75) and rosiglitazone (SMD=-0.44). Topiramate had the greatest efficacy for triglycerides (SMD=-0.68) and low-density lipoprotein (LDL)-cholesterol (SMD=-0.80), whereas metformin had the greatest beneficial effects on total cholesterol (SMD=-0.51) and high-density lipoprotein (HDL)-cholesterol (SMD=0.45). Lifestyle interventions yielded small effects for triglycerides, total cholesterol and LDL-cholesterol (SMD=-0.35 to -0.37). Only exercise interventions increased exercise capacity (SMD=1.81). Despite frequent physical comorbidities and premature mortality mainly due to these increased physical health risks, the current evidence for pharmacological and non-pharmacological interventions in people with schizophrenia to prevent and treat these conditions is still limited and more larger trials are urgently needed.

Does exercise improve sleep quality in individuals with mental illness? A systematic review and meta-analysis.

People living with mental illness often experience poor sleep quality compared to the general population. Poor sleep quality exacerbates symptoms of mental illness and contributes to increased physical comorbidities. Exercise has been shown to be an effective non-pharmacological treatment for managing poor sleep in the general population. Little is known regarding the efficacy of targeted exercise interventions for improving sleep quality amongst individuals with a mental illness. We conducted a systematic review and meta-analysis of randomised controlled trials (RCTs) examining the impact of exercise on sleep quality in people with mental illness. Major electronic databases were searched from inception until June 2018 for exercise-based RCTs that included either subjective and/or objective measures of sleep quality in people with severe mental illness (SMI). Eight RCT's were included in the meta-analysis, involving use of a range of exercise modalities in people with SMI diagnoses. Overall, exercise had a large statistically significant effect on sleep quality (hedges g = 0.73, 95% CI; (0.18, 1.28), p-value = 0.01; N = 8, n = 1,329, I2 = 91.15%). The beneficial effect of exercise on sleep quality outlined in this study highlights the important role exercise has in improving health outcomes for people living with mental illness. Further research is required to determine the efficacy of exercise on sleep in people experiencing a psychiatric illness and to explore the effects of exercise intervention elements such as modality, frequency, intensity and delivery settings.

Exploring functional impairment in young people at ultra-high risk for psychosis: A qualitative study.

AIM: Many young people at ultra-high risk (UHR) of developing psychosis exhibit marked and persistent impairments in social and occupational functioning. We aimed to explore UHR patients' subjective experiences of these difficulties and their causes. METHODS: We conducted semi-structured interviews with 20 UHR individuals recruited from Early Detection and Intervention Teams in Northwest England. Topics covered included how participants spent their time, their interpersonal relationships, academic and occupational performance, premorbid functioning and clinical treatment. Thematic analysis was used to examine the prevailing themes. RESULTS: The sample included individuals with varying degrees of functional impairment, ranging from mild to severe difficulties in functioning. Analysis of the qualitative data elicited themes around 2 topics: breadth of functional difficulties and subjective reasons for poor functioning. Participants reported a range of impairments in their social and occupational functioning which they attributed to a combination of clinical, cognitive and psychological factors. These included variables previously identified in the quantitative literature such as psychiatric symptoms, adverse life experiences and cognitive deficits. However, our findings also included other factors which have received comparably little attention such as self-stigmatizing attitudes and dysfunctional metacognitive beliefs. CONCLUSIONS: We propose a model that attempts to explain how these variables interact to drive and sustain functional impairment in the UHR population. This will assist in the development of clinical interventions aimed at promoting functional recovery among UHR individuals.

The Emerging Imperative for a Consensus Approach Toward the Rating and Clinical Recommendation of Mental Health Apps.

With over 10,000 mental health- and psychiatry-related smartphone apps available today and expanding, there is a need for reliable and valid evaluation of these digital tools. However, the updating and nonstatic nature of smartphone apps, expanding privacy concerns, varying degrees of usability, and evolving interoperability standards, among other factors, present serious challenges for app evaluation. In this article, we provide a narrative review of various schemes toward app evaluations, including commercial app store metrics, government initiatives, patient-centric approaches, point-based scoring, academic platforms, and expert review systems. We demonstrate that these different approaches toward app evaluation each offer unique benefits but often do not agree to each other and produce varied conclusions as to which apps are useful or not. Although there are no simple solutions, we briefly introduce a new initiative that aims to unify the current controversies in app elevation called CHART (Collaborative Health App Rating Teams), which will be further discussed in a second article in this series.

Digital Technologies in the Treatment of Anxiety: Recent Innovations and Future Directions.

PURPOSE OF REVIEW: This review aims to provide a comprehensive overview of the efficacy, limitations, and future of e-health treatments for anxiety. Within this, we provide detail on "first-generation" e-health approaches, such as computerized therapies. Additionally, we assess the emergence and early efficacy of newer methods of treatment delivery, including smartphone apps and virtual reality interventions, discussing the potential and pitfalls for each. RECENT FINDINGS: There is now substantial clinical research demonstrating the efficacy of internet-delivered cognitive behavioral therapy in the treatment of anxiety. However, the ability of these interventions for engaging patients in "real-world" settings is unclear. Recently, smartphone apps for anxiety have presented a more popular and ubiquitous method of intervention delivery, although the evidence base supporting these newer approaches drastically falls behind the extensive marketing and commercialization efforts currently driving their development. Meanwhile, the increasing availability of novel technologies, such as "virtual reality" (VR), introduces further potential of e-health treatments for generalized anxiety and anxiety-related disorders such as phobias and obsessive compulsive disorder, while also creating additional challenges for research. Although still in its infancy, e-health research is already presenting several promising avenues for delivering effective and scalable treatments for anxiety. Nonetheless, several important steps must be taken in order for academic research to keep pace with continued technological advances.

Monitoring of physical health in services for young people at ultra-high risk of psychosis.

AIM: People with schizophrenia have poor physical health and high rates of premature mortality. Risk factors for later cardiovascular disease are present from an early stage, and recording of these factors is recommended in first-episode services. However, it is unclear whether cardiometabolic risk factors are monitored prior to first-episode psychosis. METHODS: A retrospective analysis was conducted on case notes of individuals accepted into a specialized early detection service for young people at ultra-high risk for psychosis. Notes were assessed to determine whether the following physical health measures were recorded: height, weight, body mass index, blood pressure, blood glucose and lipids, physical activity levels, smoking status, substance use and alcohol intake. RESULTS: Forty individuals were deemed at ultra-high risk for psychosis and accepted into the service. The two measures reported most frequently were whether a person used substances (82.5%) or alcohol (72.5%), but more specific details were not commonly reported. A minority of case files contained information on height (2.5%), weight (7.5%), body mass index (5%), blood glucose (2.5%), smoking status (15%) and physical activity (7.5%). Six case files had no measure of physical health. CONCLUSIONS: Physical health and unhealthy lifestyle factors were not assessed routinely in the specialized service. Clear monitoring guidelines should be developed to establish routine assessment of common metabolic risk factors present in this population.