Difference in Psychiatric Hospital Admissions Between Cisgender and Transgender and Gender Nonconforming Youth, Before and During the Start of the COVID-19 Pandemic

This retrospective study of 1101 children and adolescents examines differences in psychiatric admissions between cisgender and transgender/gender nonconforming (TGNC) youth between June 2018 and November 2021. Sociodemographic and clinical characteristics for each admission were extracted from medical records. We compared proportion of total admissions and clinical characteristics between cisgender and TGNC youth, during specified time frames of pre-COVID-19, during quarantine, and post-quarantine. During quarantine, 294 (89.9%) youth identified as cisgender and 33 (10.1%) youth identified as TGNC. Post-quarantine, 205 (88.4%) youth identified as cisgender and 27 (11.6%) identified as TGNC. TGNC patients had more history of mood disorders (p < 0.001), self-injurious behavior (p < 0.001), and suicide attempt (p = 0.007), whereas cisgender patients had more history of Attention-deficit/Hyperactivity Disorder (ADHD) (p = 0.011) and violence (p < 0.001) across each time frame of the study. TGNC patients were more likely to be admitted due to suicidal ideation (p = 0.003), whereas cisgender patients were more often admitted for aggression (p < 0.001). There was no change across COVID-19 time periods in terms of any psychiatric history variable among patients identifying as TGNC. The proportion of admitted youth identifying as TGNC increased by 8.1% from pre-COVID-19 to post-quarantine (p < 0.001). These findings suggest that TGNC youth might be particularly vulnerable to mental health crises when faced with pandemic-related stressors. Further research on the vulnerabilities of TGNC youth during sudden and extreme social changes and how this can impact their mental health is necessary, as global pandemics could and are anticipated to repeat.

Attention-deficit hyperactivity disorder in elementary school students in Shantou, China: prevalence, subtypes, and influencing factors

Attention-deficit hyperactivity disorder (ADHD) is a frequent childhood-onset psychiatric condition and categorized into three subtypes of predominantly inattentive (ADHD-I), hyperactive impulsive (ADHD-H), and combined (ADHD-C). The prevalence and subtypes of ADHD vary considerably. The primary aim of this study was to provide a prevalence estimate of ADHD in elementary school students living in Shantou, a district of China, and in addition to examine the influence of informants, age, and gender on the prevalence. A total of 3,497 students aged 7-12 years were enrolled by random and stratified sampling. In stage I, teachers and parents of all participating students in randomly selected schools were asked to complete Chinese versions of the Conners' 10-item scale. In stage II, students with high scores (>15) were interviewed by a psychiatrist for a diagnosis with or without ADHD. Parents rated many more students with high scores than teachers did in stage I. The prevalence of ADHD determined by Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) was 5.91% (5.27%-6.55%), which is comparable to the rates reported in previous studies with Chinese children. This hits the low border of the ADHD prevalence range from 5.9 to 7.1% worldwide, and is lower than that of Chinese children living in Hong Kong, suggesting an important influence of Chinese culture on the diagnosis of ADHD. The constituent ratios of ADHD-I, ADHD-C, and ADHD-H subtypes were 67.43, 24.57, and 8.00%, respectively. The rate of ADHD-H decreased with age, whereas that of ADHD-I remained at the highest levels in all age groups, suggesting that symptoms in the inattention domain are the most persistent and refractory.

Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents

BACKGROUND

The literature on the prevalence of mental disorders affecting children and adolescents has expanded significantly over the last three decades around the world. Despite the field having matured significantly, there has been no meta-analysis to calculate a worldwide-pooled prevalence and to empirically assess the sources of heterogeneity of estimates.

METHODS

We conducted a systematic review of the literature searching in PubMed, PsycINFO, and EMBASE for prevalence studies of mental disorders investigating probabilistic community samples of children and adolescents with standardized assessments methods that derive diagnoses according to the DSM or ICD. Meta-analytical techniques were used to estimate the prevalence rates of any mental disorder and individual diagnostic groups. A meta-regression analysis was performed to estimate the effect of population and sample characteristics, study methods, assessment procedures, and case definition in determining the heterogeneity of estimates.

RESULTS

We included 41 studies conducted in 27 countries from every world region. The worldwide-pooled prevalence of mental disorders was 13.4% (CI 95% 11.3-15.9). The worldwide prevalence of any anxiety disorder was 6.5% (CI 95% 4.7-9.1), any depressive disorder was 2.6% (CI 95% 1.7-3.9), attention-deficit hyperactivity disorder was 3.4% (CI 95% 2.6-4.5), and any disruptive disorder was 5.7% (CI 95% 4.0-8.1). Significant heterogeneity was detected for all pooled estimates. The multivariate metaregression analyses indicated that sample representativeness, sample frame, and diagnostic interview were significant moderators of prevalence estimates. Estimates did not vary as a function of geographic location of studies and year of data collection. The multivariate model explained 88.89% of prevalence heterogeneity, but residual heterogeneity was still significant. Additional meta-analysis detected significant pooled difference in prevalence rates according to requirement of funcional impairment for the diagnosis of mental disorders.

CONCLUSIONS

Our findings suggest that mental disorders affect a significant number of children and adolescents worldwide. The pooled prevalence estimates and the identification of sources of heterogeneity have important implications to service, training, and research planning around the world.

Clinical characteristics of children receiving antipsychotic medication

This study explored the demographic and diagnostic features of children who were currently receiving antipsychotics compared to children who were receiving other psychotropics in a cohort of children with and without elevated symptoms of mania (ESM). Participants were recruited from 10 child outpatient mental health clinics associated with four universities. Guardians with children between 6-12 years who presented for new clinical evaluations completed the Parent General Behavior Inventory-10 Item Mania Scale (PGBI-10M). All children who scored ≥12 on the PGBI-10M and a select demographically matched comparison group of patients who scored ≤11 were invited to participate. Children were divided into two groups: those receiving at least one antipsychotic medication and those receiving other psychotropic medications. The groups were compared on demographics, diagnoses, psychiatric symptoms, functioning, and past hospitalizations. Of the 707 children enrolled in the Longitudinal Assessment of Manic Symptoms (LAMS) study, 443 (63%) were prescribed psychotropic medication at baseline: 157 (35%) were receiving an antipsychotic and 286 (65%) were prescribed other agents. Multivariate results indicated that being prescribed antipsychotics was related to being white, previous hospitalization, having a psychotic or bipolar 1 disorder and the site where the child was receiving services (p<0.001). In this sample, it is relatively common for a child to be prescribed an antipsychotic medication. However, the only diagnoses associated with a greater likelihood of being treated with an antipsychotic were psychotic disorders or unmodified DSM-IV bipolar 1 disorder.

Drug discovery: lessons from evolution

A common view within the pharmaceutical industry is that there is a problem with drug discovery and we should do something about it. There is much sympathy for this from academics, regulators and politicians. In this article I propose that lessons learnt from evolution help identify those factors that favour successful drug discovery. This personal view is influenced by a decade spent reviewing drug development programmes submitted for European regulatory approval. During the prolonged gestation of a new medicine few candidate molecules survive. This process of elimination of many variants and the survival of so few has much in common with evolution, an analogy that encourages discussion of the forces that favour, and those that hinder, successful drug discovery. Imagining a world without vaccines, anaesthetics, contraception and anti-infectives reveals how medicines revolutionized humanity. How to manipulate conditions that favour such discoveries is worth consideration.