Prevalence, severity and risk factors of psychiatric disorders amongst sexual and gender diverse young people during the COVID-19 pandemic: A systematic review

Before the COVID-19 pandemic, the prevalence and severity of psychiatric disorders among sexual and gender diverse (SGD) young people was greater than in their heterosexual/cisgender peers. We systematically reviewed literature examining the prevalence, severity, and risk factors for psychiatric disorders among SGD young people aged 25 and under during the pandemic. Four databases (MEDLINE, PsycInfo, Scopus and Web of Science) were searched. Eligibility criteria were studies assessing prevalence rates, mean symptomology scores and risk factors of psychiatric disorders using contemporaneous screening measures or diagnosis. Thirteen studies of mixed quality were identified. Most studies indicated SGD young people were at high risk of experiencing several psychiatric disorders including depressive and generalised anxiety disorder compared to the general population. This group also experienced more severe symptomology of various psychiatric disorders compared to their heterosexual/cisgender peers. Risk factors included those specific to the pandemic along with factors that led to greater risk before the pandemic. This systematic review has indicated evidence of heightened risk of psychiatric disorders among SGD young people during the COVID-19 pandemic. It is important for clinicians to acknowledge the needs of SGD young people, working with them to co-develop more inclusive care as they deal with the pandemic's fallout

Nasogastric tube feeding under restraint: understanding the impact and improving care

Background Nasogastric tube feeding under physical restraint is an intervention that clinicians working in specialist mental health in-patient units may need to implement. Aims To examine the impact of this intervention on people with lived experience, carers and staff. Method People with lived experience and parents and/or carers were recruited via UK eating disorder charity Beat. Clinicians were recruited via the British Eating Disorders Society's research forum. Qualitative semi-structured interviews were conducted and transcribed, and the results were thematically analysed. Results Thirty-six participants took part, and overlapping themes were identified. All participants spoke in relation to four themes: (a) the short-term impact on the patient; (b) the impact on those around the patient; (c) the long-term impact; and (d) the positive impact. Subthemes were identified and explored. Conclusion This lifesaving intervention can also negatively affect patients, parents and carers, peers and staff. Further research is needed to understand how interactions and environmental modifications can mitigate the negative impacts

Subtypes of avoidant/restrictive food intake disorder in children and adolescents: a latent class analysis

Background: The Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) describes three primary avoidant/restrictive food intake disorder (ARFID) subtypes including sensory sensitivity, lack of interest in food or eating, and fear of aversive consequences. Studies exploring these subtypes have yielded varying results. We used latent class analysis (LCA) based on the psychopathology of ARFID in a sample of children and adolescents to empirically identify classes. // Methods: We carried out a surveillance study of ARFID in collaboration with the British Paediatric Surveillance Unit (BPSU) and the Child and Adolescent Psychiatry Surveillance System (CAPSS) in the United Kingdom and the Republic of Ireland from 1st of March 2021 to 31st of March 2022. Paediatricians and child and adolescent psychiatrists were contacted monthly to report newly diagnosed cases of ARFID electronically and complete a detailed clinical questionnaire. Cases aged 5–18 years were included. LCA was performed specifying 1–6 classes and likelihood-based tests for model selection. The Bayesian Information Criterion (BIC), the Akaike Information Criterion (AIC) and the Sample-Size Adjusted BIC were used to determine the most parsimonious model. Analysis of variance (ANOVA) and χ2 tests were used to compare the characteristics of the identified classes. A multinomial logistic regression (MLR) was performed to investigate predicting factors for the latent classes. // Findings: We identified 319 children and adolescents with ARFID. LCA revealed four distinct classes which were labelled as Fear subtype, Lack of Interest subtype, Sensory subtype, and Combined subtype. The probability of being classified as these were 7.2% (n = 23), 25.1% (n = 80), 29.5% (n = 94) and 38.2% (n = 122), respectively. Age at diagnosis, sex, weight loss, distress associated with eating, and autism spectrum disorder diagnosis were identified as predictors of class membership. // Interpretation: LCA identified four different classes in a sample of children and adolescents with ARFID. The Combined Subtype, a mixed presentation was the most common. The other three classes resembled the subtypes described in the literature. Clinicians should be aware of these different presentations of ARFID as they may benefit from different clinical interventions. // Funding: This study was funded by the Former EMS Ltd (charity number 1098725, registered October 9th 2017)

Examining the relationship between autistic spectrum disorder characteristics and structural brain differences seen in anorexia nervosa

Cortical differences have been reported in Anorexia Nervosa (AN) compared with healthy controls (HC); however, it is unclear if Autism Spectrum Disorder (ASD) characteristics are related to these cortical differences. The aim of this study was to examine if structural measures were correlated to ASD traits in AN. In total 184 female participants participated in the study; 57 acutely underweight AN participants (AAN), 59 weight-restored participants (WR) and 68 HC. Participants underwent structural magnetic resonance imaging as well as completing the Autism Diagnostic Observation schedule, second edition to examine ASD characteristics. Group differences in curvature, gyrification, surface area, thickness, global grey matter and white matter were measured. Correlation and regression analysis were conducted to examine the relationship between cortical measures and ASD characteristics. Two decreased gyrification clusters in the right post central and supramarginal gyrus and decreased global grey matter were observed in the AAN group compared to HC and WR. No correlations between ASD traits and structural measures existed. Our results suggest structural differences seen in individuals with AN do not appear to be related to ASD characteristics

Childhood attention-deficit hyperactivity disorder: socioeconomic inequalities in symptoms, impact, diagnosis and medication

Background: Children from disadvantaged backgrounds are at greater risk of attention-deficit hyperactivity disorder (ADHD)-related symptoms, being diagnosed with ADHD, and being prescribed ADHD medications. We aimed to examine how inequalities manifest across the ‘patient journey’, from perceptions of impacts of ADHD symptoms on daily life, to the propensity to seek and receive a diagnosis and treatment. // Methods: We investigated four ‘stages’: (1) symptoms, (2) caregiver perception of impact, (3) diagnosis and (4) medication, in two data sets: UK Millennium Cohort Study (MCS, analytic n ~ 9,000), with relevant (parent-reported) information on all four stages (until 14 years); and a population-wide ‘administrative cohort’, which includes symptoms (child health checks) and prescriptions (dispensing records), born in Scotland, 2010–2012 (analytic n ~ 100,000), until ~6 years. We described inequalities according to maternal occupational status, with percentages and relative indices of inequality (RII). // Results: The prevalence of ADHD symptoms and medication receipt was considerably higher in the least compared to the most advantaged children in the administrative cohort (RIIs of 5.9 [5.5–6.4] and 8.1 [4.2–15.6]) and the MCS (3.08 [2.68–3.55], 3.75 [2.21–6.36]). MCS analyses highlighted complexities between these two stages, however, those from least advantaged backgrounds, with ADHD symptoms, were the least likely to perceive impacts on daily life (15.7% vs. average 19.5%) and to progress from diagnosis to medication (44.1% vs. average 72.5%). // Conclusions: Despite large inequalities in ADHD symptoms and medication, parents from the least advantaged backgrounds were less likely to report impacts of ADHD symptoms on daily life, and their children were less likely to have received medication postdiagnosis, highlighting how patient journeys differed according to socioeconomic circumstances