Editorial: Can Improving Youth Mental Health Reduce Mortality?

It is well established that mental health conditions, including substance use disorders, are associated with premature mortality. A meta-analysis1 has demonstrated that this association holds across a range of diagnoses. Although the effect is stronger for schizophrenia, depression and anxiety contribute to more deaths overall because of their high prevalence rates. Moreover, more than two-thirds of associated deaths were explained by natural causes.1 The next logical questions, then, are as follows: which mechanisms underlie this association, and can they can be mitigated? In the current issue of JAACAP, Clark et al.2 aim to tie mental health symptoms and substance use to the acceleration of biological aging.

Editors' Best of 2023.

There is, in the content of the Journal, an embarrassment of riches, and picking a "best" seems to demand a certain qualification: is the "best" the most interesting, most surprising, most educational, most important, most provocative, most enjoyable? How to choose? We are hardly unbiased and can admit to a special affection for the ones that we and the authors worked hardest on, modifying version after version into shape. Acknowledging these biases, here are the 2023 articles that we think deserve your attention or at least a second read.

Editors' Note: Third Annual Report Regarding JAACAP's Antiracist Journey.

In 2020, we wrote to you of our dedication and vision for JAACAP "to be antiracist at every level."1 Over the last 3 years, we have pursued initiatives "to reshape the Journal to pursue this vision."2,3 In this article, we provide an update on these goals and initiatives (Figure 1). With the launching of our new open access journal, JAACAP Open,4 in late 2022, we now extend these initiatives to both scientific journals in the JAACAP family and aspire to be a leader among mental health journals in our intentional pursuit of antiracist policies and practices.

A Common Genetic Factor Underlies Genetic Risk for Gynaecological and Reproductive Disorders and Is Correlated with Risk to Depression.

INTRODUCTION: Sex steroid hormone fluctuations may underlie both reproductive disorders and sex differences in lifetime depression prevalence. Previous studies report high comorbidity among reproductive disorders and between reproductive disorders and depression. This study sought to assess the multivariate genetic architecture of reproductive disorders and their loading onto a common genetic factor and investigated whether this latent factor shares a common genetic architecture with female depression, including perinatal depression (PND). METHOD: Using UK Biobank and FinnGen data, genome-wide association meta-analyses were conducted for nine reproductive disorders, and genetic correlation between disorders was estimated. Genomic Structural Equation Modelling identified a latent genetic factor underlying disorders, accounting for their significant genetic correlations. SNPs significantly associated with both latent factor and depression were identified. RESULTS: Excellent model fit existed between a latent factor underlying five reproductive disorders (χ2 (5) = 6.4; AIC = 26.4; CFI = 1.00; SRMR = 0.03) with high standardised loadings for menorrhagia (0.96, SE = 0.05); ovarian cysts (0.94, SE = 0.05); endometriosis (0.83, SE = 0.05); menopausal symptoms (0.77, SE = 0.10); and uterine fibroids (0.65, SE = 0.05). This latent factor was genetically correlated with PND (rG = 0.37, SE = 0.15, p = 1.4e-03), depression in females only (rG = 0.48, SE = 0.06, p = 7.2e-11), and depression in both males and females (MD) (rG = 0.35, SE = 0.03, p = 1.8e-30), with its top locus associated with FSHB/ARL14EP (rs11031006; p = 9.1e-33). SNPs intronic to ESR1, significantly associated with the latent factor, were also associated with PND, female depression, and MD. CONCLUSION: A common genetic factor, correlated with depression, underlies risk of reproductive disorders, with implications for aetiology and treatment. Genetic variation in ESR1 is associated with reproductive disorders and depression, highlighting the importance of oestrogen signalling for both reproductive and mental health.

Using electronic health record data to predict future self-harm or suicidal ideation in young people treated by child and youth mental health services.

INTRODUCTION: Identifying young people who are at risk of self-harm or suicidal ideation (SHoSI) is a priority for mental health clinicians. We explore the utility of routinely collected data in developing a tool to aid early identification of those at risk. METHOD: We used electronic health records of 4610 young people aged 5-19 years who were treated by Child and Youth Mental Health Services (CYMHS) in greater Brisbane, Australia. Two Lasso models were trained to predict the risk of future SHoSI in young people currently rated SHoSI; and those who were not. RESULTS: For currently non-SHoSI children, an Area Under the Receiver Operating Characteristics (AUC) of 0.78 was achieved. Those with the highest risk were 4.97 (CI 4.35-5.66) times more likely to be categorized as SHoSI in the future. For current SHoSI children, the AUC was 0.62. CONCLUSION: A prediction model with fair overall predictive power for currently non-SHoSI children was generated. Predicting persistence for SHoSI was more difficult. The electronic health records alone were not sufficient to discriminate at acceptable levels and may require adding unstructured data such as clinical notes. To optimally predict SHoSI models need to be tested and validated separately for those young people with varying degrees of risk.

Longitudinal Associations Between COVID-19 Stress and the Mental Health of Children With ADHD.

OBJECTIVE: To investigate the longitudinal associations between COVID-19 induced stress (related to COVID-19 restrictions/changes), attention-deficit/hyperactivity disorder (ADHD) symptoms, oppositional symptoms, and mental health outcomes (negative affect, anxiety, depression, and irritability) in children with ADHD during the COVID-19 pandemic. METHOD: Parents of 140 Australian children with ADHD (aged 5-17 years) completed an online survey in May 2020 during stay-at-home restrictions and 12-months later. RESULTS: Baseline COVID-19 stress was associated with increased total ADHD symptom severity (ß = .21, p = .007) and hyperactivity/impulsivity symptoms (ß = .23, p = .002) at 12-months, after accounting for covariates (i.e., child age, gender, ADHD medication, socio-economic status, and baseline symptoms). Despite some indication of associations between baseline COVID-19 stress and 12-month oppositional symptoms and negative affect, these were attenuated when adjusting for baseline symptoms. CONCLUSIONS: The study provides initial evidence of the medium-term impacts of pandemic-related stress for children with ADHD.

Family-based treatment takes longer for adolescents with mental health comorbidities: findings from a community mental health service.

Children and adolescents diagnosed with an eating disorder often meet the diagnosis of another mental health disorder. In addition to eating disorders, individuals with comorbid disorders have higher suicide rates and more severe and chronic eating disorder symptoms. The present research aimed to investigate the influence of comorbid conditions on the treatment outcomes of children and adolescents that attended a public community mental health service. It was hypothesised that the patients with comorbidities would have a more extended treatment duration, slower rates of weight restoration, more hospital admissions for medical compromise, and poorer functioning than those without comorbidities. Data from 78 past patients at the Eating Disorder Program in Queensland, Australia, were analysed. Patients with comorbidities demonstrated similar recovery rates to those without comorbidities. However, those with comorbid conditions had longer episodes of treatment. The study's results support using Family Based Treatment for patients with and without comorbidities. The implications of the findings for public mental health services and directions for future research are discussed.

The impact of COVID-19 on children and adolescents attending Child and Youth Mental Health Services in Queensland, Australia.

OBJECTIVE: This explorative study aims to provide insight into impacts of the COVID-19 pandemic and associated restrictions, on mental health of children and adolescents treated at Child and Youth Mental Health Services, and their parents. METHOD: The COVID-19 Mental Health Survey was disseminated to parents of children and adolescents under treatment at community Child and Youth Mental Health Services (Brisbane, Australia) between July-November 2020 throughout different stages of COVID-19 related restrictions. Parents of 110 children participated. RESULTS: Most reported child's symptoms were sadness (46%), anxiety (60%), lack of focus (61%), lack of joy in their usual activities (38%) and reduction in sleep (42%). Parental emotions were significantly correlated with their child's emotions. Parent's lack of enjoyment of usual activities had the overall strongest average correlation (0.27) but this was no longer significant once other variables were controlled for. Children who attended school remotely for some of the days had a significantly (p < .05) higher risk of having more reported symptoms. Interestingly, in later stages of the lockdown with further easing of restrictions, symptoms also tended to be more severe. CONCLUSION: Cross-sectional data on children and adolescents in Queensland, Australia with pre-existing mental health issues suggests mental health continued to deteriorate through the pandemic even as restrictions eased. Changes in schooling seem to be an especially important risk factor.

Do environmental effects indexed by parental genetic variation influence common psychiatric symptoms in childhood?

Parental genes may indirectly influence offspring psychiatric outcomes through the environment that parents create for their children. These indirect genetic effects, also known as genetic nurture, could explain individual differences in common internalising and externalising psychiatric symptoms during childhood. Advanced statistical genetic methods leverage data from families to estimate the overall contribution of parental genetic nurture effects. This study included up to 10,499 children, 5990 mother-child pairs, and 6,222 father-child pairs from the Norwegian Mother Father and Child Study. Genome-based restricted maximum likelihood (GREML) models were applied using software packages GCTA and M-GCTA to estimate variance in maternally reported depressive, disruptive, and attention-deficit hyperactivity disorder (ADHD) symptoms in 8-year-olds that was explained by direct offspring genetic effects and maternal or paternal genetic nurture. There was no strong evidence of genetic nurture in this sample, although a suggestive paternal genetic nurture effect on offspring depressive symptoms (variance explained (V) = 0.098, standard error (SE) = 0.057) and a suggestive maternal genetic nurture effect on ADHD symptoms (V = 0.084, SE = 0.058) was observed. The results indicate that parental genetic nurture effects could be of some relevance in explaining individual differences in childhood psychiatric symptoms. However, robustly estimating their contribution is a challenge for researchers given the current paucity of large-scale samples of genotyped families with information on childhood psychiatric outcomes.

The association between trauma exposure, polygenic risk and individual depression symptoms.

BACKGROUND: Traumatic experiences are associated with increased risk for major depressive disorder (MDD). This study sought to determine the extent that trauma exposure, depression polygenic risk scores (PRS), and their interaction are associated with MDD and individual depression symptoms. METHODS: Data from 102,182 individuals from the large-scale UK Biobank population cohort was analysed. A series of regression analyses were conducted to estimate the association between trauma, depression PRS and 1) current depression, 2) lifetime MDD case-control status, 3) nine individual current depressive symptoms, and 4) thirteen individual symptoms experienced during a major depressive episode. Additive and multiplicative PRS-by-trauma interactions were also assessed. RESULTS: Trauma and depression PRS were significantly associated with both current depression and lifetime MDD. A positive, additive interaction effect was observed on depression, but multiplicative interactions were not significant. Trauma exposure and depression PRS were associated with specific patterns of depression symptoms; Trauma was associated with low self-esteem, suicidal ideation, and atypical (but not typical) neurovegetative symptoms. Additive interaction effects were observed on six out of nine current depressive symptoms. CONCLUSIONS: Trauma exposure and genetic predisposition to depression may lead to particular symptomatology, which may contribute to the extreme clinical heterogeneity observed in individuals with major depression.

Practitioner Review: It's time to bridge the gap - understanding the unmet needs of consumers with attention-deficit/hyperactivity disorder - a systematic review and recommendations.

OBJECTIVE: Understanding the unmet needs of healthcare consumers with attention-deficit/hyperactivity disorder (ADHD) (individuals with ADHD and their caregivers) provides critical insight into gaps in services, education and research that require focus and funding to improve outcomes. This review examines the unmet needs of ADHD consumers from a consumer perspective. METHODS: A standardised search protocol identified peer-reviewed studies published between December 2011 and December 2021 focusing on consumer-identified needs relating to ADHD clinical care or research priorities. RESULTS: 1,624 articles were screened with 23 studies that reviewed examining the needs of ADHD consumers from Europe, the U.K., Hong Kong, Iran, Australia, the U.S.A. and Canada. Consumer-identified needs related to: treatment that goes beyond medication (12 studies); improved ADHD-related education/training (17 studies); improved access to clinical services, carer support and financial assistance (14 studies); school accommodations/support (6 studies); and ongoing treatment efficacy research (1 study). CONCLUSION: ADHD consumers have substantial unmet needs in clinical, psychosocial and research contexts. Recommendations to address these needs include: improving access to and quality of multimodal care provision; incorporating recovery principles into care provision; fostering ADHD health literacy; and increasing consumer participation in research, service development and ADHD-related training/education.

Policies are Needed to Increase the Reach and Impact of Evidence-Based Parenting Supports: A Call for a Population-Based Approach to Supporting Parents, Children, and Families.

Parents can be essential change-agents in their children's lives. To support parents in their parenting role, a range of programs have been developed and evaluated. In this paper, we provide an overview of the evidence for the effectiveness of parenting interventions for parents and children across a range of outcomes, including child and adolescent mental and physical health, child and adolescent competencies and academic outcomes, parental skills and competencies, parental wellbeing and mental health, and prevention of child maltreatment and family violence. Although there is extensive research showing the effectiveness of evidence-based parenting programs, these are not yet widely available at a population level and many parents are unable to access support. We outline how to achieve increased reach of evidence-based parenting supports, highlighting the policy imperative to adequately support the use of these supports as a way to address high priority mental health, physical health, and social problems.

The Development and Validation of a Subscale for the School-Age Child Behavior CheckList to Screen for Autism Spectrum Disorder.

The first aim of this study was to construct/validate a subscale-with cut-offs considering gender/age differences-for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N = 1666) and clinician-expert (N = 15) approaches. Further, we compared these to previously established CBCL ASD profiles/subscales and DSM-oriented subscales. The second aim was to cross-validate results in two truly independent samples (N = 2445 and 886). Despite relatively low discriminative power of all subscales in the cross-validation samples, results indicated that the data-driven subscale had the best potential to screen for ASD and a similar screening potential as the DSM-oriented subscales. Given beneficial implications for pediatric/clinical practice, we encourage colleagues to continue the validation of this CBCL ASD subscale.

Short research article: COVID-19 and its impact on child and youth mental health service demand in the community and emergency department.

BACKGROUND: To explore changes in child and youth mental health service (CYMHS) demand in Brisbane, Australia, following the COVID pandemic. METHODS: The number of monthly presentations and referrals to respectively the emergency department (ED) and community CYMHS were compared among 2018, 2019 and 2020. RESULTS: The study shows a marked increase in referrals to ED starting from July and in the community from May 2020. In the population referred to as community teams, the proportions of Indigenous children and those from lower socio-economic areas decreased. CONCLUSIONS: The COVID-19 pandemic has aggravated the supply and demand disparity in CYMHS, with the largest effect on the most vulnerable families.

Editors' Best of 2022.

There is, in the content of the Journal, an embarrassment of riches, and picking a "best" seems to demand a certain qualification: is the "best" the most interesting, most surprising, most educational, most important, most provocative, most enjoyable? How to choose? We are hardly unbiased and can admit to a special affection for the ones that we and the authors worked hardest on, hammering version after version into shape. Acknowledging these biases, here are the 2022 articles that we think deserve your attention or at least a second read.

Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits.

Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention-deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well-being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5-10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well-being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well-being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism.

Examining the pharmacological and psychological treatment of child and adolescent ADHD in Australia: Protocol for a retrospective cohort study using linked national registry data.

INTRODUCTION: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder which affects 5% of children globally. In Australia, it is estimated that 4.1% of children and adolescents have ADHD. While research has examined the treatment and outcomes of children with ADHD attending public mental health services during their time in the public system in Australia, it is not known what treatment they received before and after these treatment episodes, which will provide a more complete understanding of these children's treatment journey. METHODS AND ANALYSIS: We will link clinical data from cohorts of children and adolescents treated in the public child and youth mental health and/or child development services in Brisbane, Melbourne and Sydney to the Medicare Benefits Schedule (MBS), Pharmaceutical Benefits Scheme (PBS) and National Death Index. MBS data will demonstrate the treatment journey with respect to clinicians seen, and treatment episodes from the public health service data sets will be examined to assess if the type and intensity of treatment are related to treatment outcomes. PBS data will reveal all psychotropic medications prescribed, allowing an examination of not just ADHD medications, but also other psychotropics which may indicate co-occurring conditions (eg, anxiety and mood disorders). Statistical analyses will include descriptive statistics to describe the rates of specific medications and clinician specialties seen. Linear and logistic regression will be used to model how treatment and sociodemographic variables relate to routinely collected outcome measures in the public health system while controlling for covarying factors. ETHICS AND DISSEMINATION: This study has been approved by the following institutional ethics committees: (1) Children's Health Queensland Hospital and Health Service (HREC/21/QCHQ/76260), (2) The University of Queensland (2021/HE002143) and (3) The Australian Institute of Health and Welfare (EO2021/4/1300). Findings will be disseminated through peer-reviewed journals, conferences, professional associations and to public mental health services that treat ADHD.

A genetically informed prediction model for suicidal and aggressive behaviour in teens.

Suicidal and aggressive behaviours cause significant personal and societal burden. As risk factors associated with these behaviours frequently overlap, combined approaches in predicting the behaviours may be useful in identifying those at risk for either. The current study aimed to create a model that predicted if individuals will exhibit suicidal behaviour, aggressive behaviour, both, or neither in late adolescence. A sample of 5,974 twins from the Child and Adolescent Twin Study in Sweden (CATSS) was broken down into a training (80%), tune (10%) and test (10%) set. The Netherlands Twin Register (NTR; N = 2702) was used for external validation. Our longitudinal data featured genetic, environmental, and psychosocial predictors derived from parental and self-report data. A stacked ensemble model was created which contained a gradient boosted machine, random forest, elastic net, and neural network. Model performance was transferable between CATSS and NTR (macro area under the receiver operating characteristic curve (AUC) [95% CI] AUCCATSS(test set) = 0.709 (0.671-0.747); AUCNTR = 0.685 (0.656-0.715), suggesting model generalisability across Northern Europe. The notable exception is suicidal behaviours in the NTR, which was no better than chance. The 25 highest scoring variable importance scores for the gradient boosted machines and random forest models included self-reported psychiatric symptoms in mid-adolescence, sex, and polygenic scores for psychiatric traits. The model's performance is comparable to current prediction models that use clinical interviews and is not yet suitable for clinical use. Moreover, genetic variables may have a role to play in predictive models of adolescent psychopathology.

Do adversities experienced over the early life course predict mental illness and substance use behaviour in adulthood: A birth cohort study.

A range of adult health outcomes have been linked to early childhood adversities. These early adversities include parental marital breakdown and family economic disadvantage. Childhood experiences of maltreatment have also been linked to a variety of adult health outcomes. As both childhood adversities and child maltreatment often co-occur, we examine whether childhood adversities at 3 stages of the child's early life course predict any of nine adult mental health outcomes controlling for past experiences of child trauma (maltreatment). Data are from a long running birth cohort study, the Mater-University of Queensland Study of Pregnancy (MUSP). We use bivariate and multinomial logistic regression with adjustment for confounding, to predict adult outcomes. Experiences of recent life events in pregnancy appear to be unrelated to adult mental health. Recent life events experienced at the 5-year follow-up independently predicts lifetime ever depression and cannabis use disorder. Experiences of recent life events at 14-years of age predict lifetime ever depression, cannabis and amphetamine use in adulthood. Our findings support early childhood interventions which should be supplemented with a focus on later childhood and the adolescent period of development. Interventions should also focus on the broader social and demographic context within which children are born. Efforts to reduce the occurrence and consequences of childhood maltreatment should be given primary attention in order to reduce the childhood factors contributing to adult mental illness.