Changing patterns of health risk in adolescence: implications for health policy.

Adolescence is a time of physical, cognitive, social, and emotional development. This period is a very sensitive developmental window; environmental exposures, the development of health behaviours (eg, smoking and physical activity), and illness during adolescence can have implications for lifelong health. In the UK and other high-income countries, the experience of adolescence has changed profoundly over the past 20 years. Smoking, drug use, and alcohol consumption have all been in long-term decline. At the same time, obesity and mental ill health have increased and are now common among adolescents, with new risks (ie, vaping, psychoactive substances, and online harms) emerging. In this Viewpoint, we describe these and related trends in England and the UK. Although previous work has explored these changes in isolation, in this Viewpoint we consider them collectively. We explore what might be driving the changes and consider the implications for practice, policy, and research.

Mytton OT ，Donaldson L ，Goddings AL ，Mathews G ，Ward JL ，Greaves F ，Viner RM ... -  《The Lancet Regional Health》

Changes in millennial adolescent mental health and health-related behaviours over 10 years: a population cohort comparison study.

There is evidence that mental health problems are increasing and substance use behaviours are decreasing. This paper aimed to investigate recent trends in mental ill health and health-related behaviours in two cohorts of UK adolescents in 2005 and 2015. Prevalences in mental health (depressive symptoms, self-harm, anti-social behaviours, parent-reported difficulties) and health-related behaviours (substance use, weight, weight perception, sleep, sexual intercourse) were examined at age 14 in two UK birth cohorts; Avon Longitudinal Study of Parents and Children (ALSPAC, N = 5627, born 1991-92) and Millennium Cohort Study (MCS, N = 11 318, born 2000-02). Prevalences and trend estimates are presented unadjusted and using propensity score matching and entropy balancing to account for differences between samples. Depressive symptoms (9% to 14.8%) and self-harm (11.8% to 14.4%) were higher in 2015 compared with 2005. Parent-reported emotional difficulties, conduct problems, hyperactivity and peer problems were higher in 2015 compared with 2005 (5.7-8.9% to 9.7-17.7%). Conversely, substance use (tried smoking, 9.2% to 2.9%; tried alcohol, 52.1% to 43.5%, cannabis, 4.6% to 3.9%), sexual activity (2% to 0.9%) and anti-social behaviours (6.2-40.1% to 1.6-27.7%) were less common or no different. Adolescents in 2015 were spending less time sleeping (<8 h 5.7% to 11.5%), had higher body mass index (BMI) (obese, 3.8% to 7.3%) and a greater proportion perceived themselves as overweight (26.5% to 32.9%). The findings should be interpreted bearing in mind limitations in ability to adequately harmonize certain variables and account for differences in attrition rates and generalizability of the two cohorts. Given health-related behaviours are often cited as risk factors for poor mental health, our findings suggest relationships between these factors might be more complex and dynamic in nature than currently understood. Substantial increases in mental health difficulties, BMI and poor sleep-related behaviours highlight an increasing public health challenge.

Patalay P ，Gage SH 《-》

Adolescent gender norms and adult health outcomes in the USA: a prospective cohort study.

Previous research has documented differences in health behaviours between men and women, with differential risks and health outcomes between the sexes. Although some sex-specific differences in health outcomes are caused by biological factors, many others are socially driven through gender norms. We therefore aimed to assess whether gender expression as an adolescent, determined by the degree to which an individual's behvaiours were typical of their gender, were associated with health behaviours and outcomes in adulthood. In this prospective cohort study, we used data from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative sample of US adolescents from whom data were collected during adolescence (ages 11-18 years) and adulthood (ages 24-32 years). We created a measure of gender expression that was based on the degree to which male and female adolescents and adults behave in stereotypically masculine (for men) or feminine (for women) ways relative to their same-gender peers. Adolescents were assessed for baseline sociodemographic characteristics and gender expression, and these participants were later assessed, during adulthood, for their gender expression and health behaviours and outcomes, which included depression, self-rated health, drug and alcohol use, cardiovascular risk factors, experience of sexual violence, diet, and obesity. These data were collected via surveys, except for body-mass index, cholesterol, and blood pressure, which were collected as biomarkers. Between April and December, 1995, self-reported data were collected from 10 480 female and 10 263 male adolescents; similar data were subsequently collected in several waves in this cohort, with a final collection between January, 2008, and February, 2009, when participants were aged 24-32 years. We used data from this final wave and from baseline, and our study represents a secondary analysis of these data. Of these participants, complete follow-up data from 6721 (80%) adult women and 5885 (80%) adult men were available. Gender expression was stable for men and women from adolescence to adulthood. High masculinity (vs low masculinity) in adolescent and adult men was positively associated with smoking in the past month, use of marijuana and recreational drugs, prescription drug misuse (adult gender expression only), and consumption of fast food and soda (adolescent gender expression only) in the past week. However, higher masculine gender expression in adult men was negatively associated with diagnosed depression and high cholesterol in adulthood, and masculine gender expression in adolescent and adult men was negatively associated with high blood pressure in adults. High femininity (vs low femininity) in adolescent or adult women was positively associated with high cholesterol and blood pressure (both adult gender expression only), depression, migraines (adult gender expression only), and physical limitations (ie, health problems that limited their daily activities). However, higher femininity in adolescence was negatively associated with self-rated good health in adulthood. Although feminine gender expression in adolescents was predictive of adult recreational and prescription drug and marijuana use and experience of sexual violence, feminine gender expression in adulthood was negatively associated with adult substance use and experience of sexual violence, suggesting that expressions of femininity typical of adolescents impart risks that expression of femininity as an adult does not. Individuals who are highly masculine or feminine seem to be at greatest risk of adverse health outcomes and behaviours. We found compelling evidence that adolescent gender expression is correlated with health in adulthood independently of gender expression as an adult. Although more research is needed to identify causal mechanisms, our results suggest that those designing health behaviour interventions should carefully consider integrating gender transformative components into interventions. Eunice Kennedy Shriver National Institute of Child Health and Human Development, Gender Equality, Integrated Delivery, HIV, Nutrition, Family Planning, and Water Sanitation and Hygiene Program Strategy Teams (Bill and Melinda Gates Foundation).

Shakya HB ，Domingue B ，Nagata JM ，Cislaghi B ，Weber A ，Darmstadt GL ... -  《-》

Policy responses to multiple risk behaviours in adolescents.

Hale DR ，Viner RM 《-》

Right care, first time: a highly personalised and measurement-based care model to manage youth mental health.

Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change. Consequently, the effects of adolescent-onset mood and psychotic syndromes can have long term consequences. A key clinical challenge for youth mental health is to develop and test new systems that align with current evidence for comorbid presentations and underlying neurobiology, and are useful for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. Our highly personalised and measurement-based care model includes three core concepts: ▶ A multidimensional assessment and outcomes framework that includes: social and occupational function; self-harm, suicidal thoughts and behaviour; alcohol or other substance misuse; physical health; and illness trajectory. ▶ Clinical stage. ▶ Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on proposed pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). The model explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within this highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care as well as utilisation of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality, mental health care for young people. CHAPTER 1: MULTIDIMENSIONAL OUTCOMES IN YOUTH MENTAL HEALTH CARE: WHAT MATTERS AND WHY?: Mood and psychotic syndromes present one of the most serious public health challenges that we face in the 21st century. Factors including prevalence, age of onset, and chronicity contribute to substantial burden and secondary risks such as alcohol or other substance misuse. Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change; thus, effects can have long term consequences. We propose five key domains which make up a multidimensional outcomes framework that aims to address the specific needs of young people presenting to health services with emerging mental illness. These include social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Impairment and concurrent morbidity are well established in young people by the time they present for mental health care. Despite this, services and health professionals tend to focus on only one aspect of the presentation - illness type, stage and trajectory - and are often at odds with the preferences of young people and their families. There is a need to address the disconnect between mental health, physical health and social services and interventions, to ensure that youth mental health care focuses on the outcomes that matter to young people. CHAPTER 2: COMBINING CLINICAL STAGE AND PATHOPHYSIOLOGICAL MECHANISMS TO UNDERSTAND ILLNESS TRAJECTORIES IN YOUNG PEOPLE WITH EMERGING MOOD AND PSYCHOTIC SYNDROMES: Traditional diagnostic classification systems for mental disorders map poorly onto the early stages of illness experienced by young people, and purport categorical distinctions that are not readily supported by research into genetic, environmental and neurobiological risk factors. Consequently, a key clinical challenge in youth mental health is to develop and test new classification systems that align with current evidence on comorbid presentations, are consistent with current understanding of underlying neurobiology, and provide utility for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. This chapter outlines a transdiagnostic framework for classifying common adolescent-onset mood and psychotic syndromes, combining two independent but complementary dimensions: clinical staging, and three proposed pathophysiological mechanisms. Clinical staging reflects the progression of mental disorders and is in line with the concept used in general medicine, where more advanced stages are associated with a poorer prognosis and a need for more intensive interventions with a higher risk-to-benefit ratio. The three proposed pathophysiological mechanisms are neurodevelopmental abnormalities, hyperarousal and circadian dysfunction, which, over time, have illness trajectories (or pathways) to psychosis, anxious depression and bipolar spectrum disorders, respectively. The transdiagnostic framework has been evaluated in young people presenting to youth mental health clinics of the University of Sydney's Brain and Mind Centre, alongside a range of clinical and objective measures. Our research to date provides support for this framework, and we are now exploring its application to the development of more personalised models of care. CHAPTER 3: A COMPREHENSIVE ASSESSMENT FRAMEWORK FOR YOUTH MENTAL HEALTH: GUIDING HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE USING MULTIDIMENSIONAL AND OBJECTIVE MEASURES: There is an urgent need for improved care for young people with mental health problems, in particular those with subthreshold mental disorders that are not sufficiently severe to meet traditional diagnostic criteria. New comprehensive assessment frameworks are needed to capture the biopsychosocial profile of a young person to drive highly personalised and measurement-based mental health care. We present a range of multidimensional measures involving five key domains: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Objective measures include: neuropsychological function; sleep-wake behaviours and circadian rhythms; metabolic and immune markers; and brain structure and function. The recommended multidimensional measures facilitate the development of a comprehensive clinical picture. The objective measures help to further develop informative and novel insights into underlying pathophysiological mechanisms and illness trajectories to guide personalised care plans. A panel of specific multidimensional and objective measures are recommended as standard clinical practice, while others are recommended secondarily to provide deeper insights with the aim of revealing alternative clinical paths for targeted interventions and treatments matched to the clinical stage and proposed pathophysiological mechanisms of the young person. CHAPTER 4: PERSONALISING CARE OPTIONS IN YOUTH MENTAL HEALTH: USING MULTIDIMENSIONAL ASSESSMENT, CLINICAL STAGE, PATHOPHYSIOLOGICAL MECHANISMS, AND INDIVIDUAL ILLNESS TRAJECTORIES TO GUIDE TREATMENT SELECTION: New models of mental health care for young people require that interventions be matched to illness type, clinical stage, underlying pathophysiological mechanisms and individual illness trajectories. Narrow syndrome-focused classifications often direct clinical attention away from other key factors such as functional impairment, self-harm and suicidality, alcohol or other substance misuse, and poor physical health. By contrast, we outline a treatment selection guide for early intervention for adolescent-onset mood and psychotic syndromes (ie, active treatments and indicated and more specific secondary prevention strategies). This guide is based on experiences with the Brain and Mind Centre's highly personalised and measurement-based care model to manage youth mental health. The model incorporates three complementary core concepts: ▶A multidimensional assessment and outcomes framework including: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness trajectory. ▶Clinical stage. ▶Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on three underlying pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). These core concepts are not mutually exclusive and together may facilitate improved outcomes through a clinical stage-appropriate and transdiagnostic framework that helps guide decisions regarding the provision of appropriate and effective care options. Given its emphasis on adolescent-onset mood and psychotic syndromes, the Brain and Mind Centre's model of care also respects a fundamental developmental perspective - categorising childhood problems (eg, anxiety and neurodevelopmental difficulties) as risk factors and respecting the fact that young people are in a period of major biological and social transition. Based on these factors, a range of social, psychological and pharmacological interventions are recommended, with an emphasis on balancing the personal benefit-to-cost ratio. CHAPTER 5: A SERVICE DELIVERY MODEL TO SUPPORT HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE IN YOUTH MENTAL HEALTH: Over the past decade, we have seen a growing focus on creating mental health service delivery models that better meet the unique needs of young Australians. Recent policy directives from the Australian Government recommend the adoption of stepped-care services to improve the appropriateness of care, determined by severity of need. Here, we propose that a highly personalised approach enhances stepped-care models by incorporating clinical staging and a young person's current and multidimensional needs. It explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within a highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care and use of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality of, mental health care for young people.

Hickie IB ，Scott EM ，Cross SP ，Iorfino F ，Davenport TA ，Guastella AJ ，Naismith SL ，Carpenter JS ，Rohleder C ，Crouse JJ ，Hermens DF ，Koethe D ，Markus Leweke F ，Tickell AM ，Sawrikar V ，Scott J ... -  《-》