Executive SummaryThe poor physical health of people with mental illness is a multi-faceted, transdiagnostic, and global problem. Physical health disparities are observed across the entire spectrum of mental illnesses, in low, middle-and high-income countries. This stems from both a heightened risk of physical diseases in people with mental illness, along with their reduced access to adequate healthcare. The high rates of physical comorbidities (and typically-poor clinical management of this) drastically reduces life expectancy, and also increases the personal, social and economic burden of illness across the lifespan.This Commission has brought together an international team of researchers, clinicians, and key stakeholders from various backgrounds and professionally / personally-relevant experience, in order to summarize advances in understanding on this topic, and present clear directions for health promotion, clinical care and future research. The breadth and multifactorial nature of physical health disparities across the range of mental health diagnoses poses an almost limitless number of potential considerations. Therefore, rather than attempting to cover all of the different possible combinations of physical-mental comorbidities individually, the aim of this Commission was to: (i) establish highlypertinent aspects of physical health-related morbidity and mortality which apply transdiagnostically, (ii) highlight the common modifiable factors driving these disparities, (iii) present actions and initiatives for health policy and clinical services to address these issues, and (iv) identify promising areas for future research towards discovering novel solutions. This was addressed across 5 different Parts of the Commission: Parts 1 and 2 determined the scope, priorities and key targets for physical health improvement across multiple mental illnesses. Parts 3, 4 and 5 discussed emerging strategies and produced recommendations for improving physical health outcomes in people with mental illness. Leaders and contributors for each Part are shown in the Appendix (pg.1) . Part 1: 'Its more than premature mortality'Part 1 identified almost 100 systematic reviews/meta-analyses examining the prevalence of physical comorbidities in mental illness. Around 70% of the meta-research focused on cardiometabolic diseases; consistently reporting that mental illnesses were associated with 1.4-to 2-fold increased risk for obesity, diabetes and cardiovascular diseases compared to the general population. Although mostly studied in 'severe mental illness' ('SMI', and particularly psychotic disorders), the prevalence of cardiometabolic diseases was similarly elevated across a broad range of other diagnoses, including substance use disorders (SUDs), and 'common mental disorders' ('CMDs', such as depression and anxiety). Part 2: Key modifiable factors in health behaviours and health servicesPart 2 built on the findings of Part 1 with a hierarchal evidence synthesis of modifiable risk factors for physical diseases in mental illness. The bu...

As interest in and use of telehealth during the COVID-19 global pandemic increase, the potential of digital health to increase access and quality of mental health is becoming clear. Although the world today must “flatten the curve” of spread of the virus, we argue that now is the time to “accelerate and bend the curve” on digital health. Increased investments in digital health today will yield unprecedented access to high-quality mental health care. Focusing on personal experiences and projects from our diverse authorship team, we share selected examples of digital health innovations while acknowledging that no single piece can discuss all the impressive global efforts past and present. Exploring the success of telehealth during the present crisis and how technologies like apps can soon play a larger role, we discuss the need for workforce training, high-quality evidence, and digital equity among other factors critical for bending the curve further.

The rapid advances and adoption of smartphone technology presents a novel opportunity for delivering mental health interventions on a population scale. Despite multi-sector investment along with wide-scale advertising and availability to the general population, the evidence supporting the use of smartphone apps in the treatment of depression has not been empirically evaluated. Thus, we conducted the first meta-analysis of smartphone apps for depressive symptoms. An electronic database search in May 2017 identified 18 eligible randomized controlled trials of 22 smartphone apps, with outcome data from 3,414 participants. Depressive symptoms were reduced significantly more from smartphone apps than control conditions (g50.38, 95% CI: 0.24-0.52, p<0.001), with no evidence of publication bias. Smartphone interventions had a moderate positive effect in comparison to inactive controls (g50.56, 95% CI: 0.38-0.74), but only a small effect in comparison to active control conditions (g50.22, 95% CI: 0.10-0.33). Effects from smartphone-only interventions were greater than from interventions which incorporated other human/ computerized aspects along the smartphone component, although the difference was not statistically significant. The studies of cognitive training apps had a significantly smaller effect size on depression outcomes (p50.004) than those of apps focusing on mental health. The use of mood monitoring softwares, or interventions based on cognitive behavioral therapy, or apps incorporating aspects of mindfulness training, did not affect significantly study effect sizes. Overall, these results indicate that smartphone devices are a promising self-management tool for depression. Future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.

There is increasing academic and clinical interest in how “lifestyle factors” traditionally associated with physical health may also relate to mental health and psychological well‐being. In response, international and national health bodies are producing guidelines to address health behaviors in the prevention and treatment of mental illness. However, the current evidence for the causal role of lifestyle factors in the onset and prognosis of mental disorders is unclear. We performed a systematic meta‐review of the top‐tier evidence examining how physical activity, sleep, dietary patterns and tobacco smoking impact on the risk and treatment outcomes across a range of mental disorders. Results from 29 meta‐analyses of prospective/cohort studies, 12 Mendelian randomization studies, two meta‐reviews, and two meta‐analyses of randomized controlled trials were synthesized to generate overviews of the evidence for targeting each of the specific lifestyle factors in the prevention and treatment of depression, anxiety and stress‐related disorders, schizophrenia, bipolar disorder, and attention‐deficit/hyperactivity disorder. Standout findings include: a) convergent evidence indicating the use of physical activity in primary prevention and clinical treatment across a spectrum of mental disorders; b) emerging evidence implicating tobacco smoking as a causal factor in onset of both common and severe mental illness; c) the need to clearly establish causal relations between dietary patterns and risk of mental illness, and how diet should be best addressed within mental health care; and d) poor sleep as a risk factor for mental illness, although with further research required to understand the complex, bidirectional relations and the benefits of non‐pharmacological sleep‐focused interventions. The potentially shared neurobiological pathways between multiple lifestyle factors and mental health are discussed, along with directions for future research, and recommendations for the implementation of these findings at public health and clinical service levels.