124 research outputs found

    Which children and young people are excluded from school? Findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) - poster abstract

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    Poster abstract presented at Spring Meeting for Clinician Scientists in Training 2015BACKGROUND: School exclusion is a disciplinary method used to remove a child from the school environment. It is known to affect certain groups disproportionately, including boys, some ethnic minorities, children in care, children in poverty, and children with special educational needs. Population-based studies on wider characteristics of excluded pupils are scarce. The aim of this study was to describe factors associated with school exclusion in the Avon Longitudinal Study of Parents and Children (ALSPAC), focussing on neurodevelopment and mental health. METHODS: ALSPAC is a prospective population-based British birth cohort study, with the initial sample consisting of 14 541 pregnancies. The study has data for whether a child has been permanently excluded from school up to the age of 8 years as reported by parents and also permanent and fixed period exclusions in the preceding 12 months as reported by parents and young people at age 16 years. Upstream risk factors were assessed for associations with exclusion on univariable analysis. The association with social communication difficulties was investigated with multivariable logistic regression. FINDINGS: Data for exclusions up to the age of 8 years were available for 8245 ALSPAC participants and 4482 participants for exclusion at age 16 years. 53 pupils (0·6%) were excluded from school by age 8 years, and 390 (8·7%) at age 16 years. The odds of exclusion by 8 years and at 16 years were increased with male sex (p=0·001 and p<0·0001, respectively), low family income (p=0·014 and p<0·0001), family adversity (p<0·0001 for both), maternal psychopathology (p=0·013 and p=0·004), low intelligence quotient (p=0·041 and p<0·0001), mental health difficulties (p<0·0001 for both), psychiatric disorder (p<0·0001 for both), social communication difficulties (p<0·0001 for both), antisocial activities (p=0·004 and p<0·0001), bullying or being bullied (p=0·005 and p<0·0001), low educational attainment (p<0·0001 for both), and increased special educational needs (p<0·0001 for both). On multivariable analysis, having social communication difficulties above a clinical threshold on the Social Communication Disorders Checklist was strongly associated with exclusion by 8 years (odds ratio 7·4, 95% CI 3·6-15·4) and at 16 years (2·3, 1·5-3·5), after adjustment for relevant confounders. INTERPRETATION: Although cohort attrition and small numbers of exclusions at 8 years are limitations, this study suggests that school exclusion is associated with numerous risk factors identifiable at or before primary school entry. Child health professionals have an important role in the holistic assessment of children who are excluded, or who are at risk of school exclusion. There is particular need to ensure that mental health and neurodevelopmental difficulties are appropriately recognised and supported. FUNDING: National Institute for Health Research Academic Clinical Fellowship

    Access to and perceived unmet need for mental health services and support in a community sample of UK adolescents with and without experience of childhood adversity

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    Aims. Children and adolescents with a history of adverse childhood experiences (ACEs) are more likely than their peers to develop mental health difficulties, but not enough is known about their help-seeking behaviours and preferences. We aimed to determine whether and how ACEs are associated with access to and perceived unmet need for mental health services and support amongst secondary school students. Methods: We used multi-level logistic regression with data from the 2020 OxWell Student Survey to assess whether ACEs were associated with (1) prior access to mental health support and (2) perceived unmet need for mental health services in a community sample of English secondary school students. We assessed ACEs as a cumulative score from the Center for Youth Wellness Adverse Childhood Experiences Questionnaire: Teen Self-Report version and accounted for current mental health difficulties as measured by the 25-item Revised Children’s Anxiety and Depression Scale (RCADS). Results: Our analysis included 2018 students across 64 schools, of whom 29.9% (598/2002) reported prior access to mental health support and 34.1% (469/1377) reported a perceived unmet need for services. In the unadjusted models, the cumulative ACE score was significantly positively associated with both prior access to mental health support (odds ratio (OR)=1.36; 95% confidence interval (CI) 1.29–1.43) and perceived unmet need for mental health services (OR=1.47; 95% CI 1.37–1.59), meaning that students who had experienced adversity had a greater chance of having previously accessed support as well as perceiving an unmet need for services. After adjusting for mental health difficulties and other sociodemographic variables, cumulative ACE scores were positively associated with prior access (adjusted OR (aOR)=1.25; 95% CI 1.17–1.34 with a significant interaction between RCADS and ACE scores, aOR=0.88; 95% CI 0.84–0.93) as well as perceived unmet need (aOR=1.32; 95% CI 1.21–1.43 with a significant interaction between RCADS and ACE scores, aOR=0.85; 95% CI 0.78–0.91). Conclusions: Although it is encouraging that adolescents with experience of adversity are more likely than their peers with similar levels of depression and anxiety symptoms to have accessed mental health support, there remains a concern that those who have not accessed support are more likely to perceive an as-yet unmet need for it. Mental health support must be available, accessible, and acceptable to all who need it, especially for those groups that traditionally have not accessed services, including the more marginalised and vulnerable populations

    Clinical predictors of antipsychotic use in children and adolescents with autism spectrum disorders: a historical open cohort study using electronic health records.

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    JOURNAL ARTICLEThe final publication is available at Springer via http://dx.doi.org/ 10.1007/s00787-015-0780-7Children with autism spectrum disorders (ASD) are more likely to receive antipsychotics than any other psychopharmacological medication, yet the psychiatric disorders and symptoms associated with treatment are unclear. We aimed to determine the predictors of antipsychotic use in children with ASD receiving psychiatric care. The sample consisted of 3482 children aged 3-17 with an ICD-10 diagnosis of ASD referred to mental health services between 2008 and 2013. Antipsychotic use outcome, comorbid diagnoses, and other clinical covariates, including challenging behaviours were extracted from anonymised patient records. Of the 3482 children (79 % male) with ASD, 348 (10 %) received antipsychotic medication. The fully adjusted model indicated that comorbid diagnoses including hyperkinetic (OR 1.44, 95 %CI 1.01-2.06), psychotic (5.71, 3.3-10.6), depressive (2.36, 1.37-4.09), obsessive-compulsive (2.31, 1.16-4.61) and tic disorders (2.76, 1.09-6.95) were associated with antipsychotic use. In addition, clinician-rated levels of aggression, self-injurious behaviours, reduced adaptive function, and overall parental concern for their child's presenting symptoms were significant risk factors for later antipsychotic use. In ASD, a number of comorbid psychiatric disorders are independent predictors for antipsychotic treatment, even after adjustment for familial, socio-demographic and individual factors. As current trial evidence excludes children with comorbidity, more pragmatic randomised controlled trials with long-term drug monitoring are needed.NIHRBiomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King’s College LondonGuy’s and St. Thomas’ CharityMaudsley CharityMR

    Developing a Web-Based App to Assess Mental Health Difficulties in Secondary School Pupils: Qualitative User-Centered Design Study.

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    BACKGROUND: Secondary schools are an ideal setting to identify young people experiencing mental health difficulties such as anxiety or depression. However, current methods of identification rely on cumbersome paper-based assessments, which are lengthy and time-consuming to complete and resource-intensive for schools to manage. Artemis-A is a prototype web app that uses computerized adaptive testing technology to shorten the length of the assessment and provides schools with a simple and feasible solution for mental health assessment. OBJECTIVE: The objectives of this study are to coproduce the main components of the Artemis-A app with stakeholders to enhance the user interface, to carry out usability testing and finalize the interface design and functionality, and to explore the acceptability and feasibility of using Artemis-A in schools. METHODS: This study involved 2 iterative design feedback cycles-an initial stakeholder consultation to inform the app design and user testing. Using a user-centered design approach, qualitative data were collected through focus groups and interviews with secondary school pupils, parents, school staff, and mental health professionals (N=48). All transcripts were thematically analyzed. RESULTS: Initial stakeholder consultations provided feedback on preferences for the user interface design, school administration of the assessment, and outcome reporting. The findings informed the second iteration of the app design and development. The unmoderated usability assessment indicated that young people found the app easy to use and visually appealing. However, school staff suggested that additional features should be added to the school administration panel, which would provide them with more flexibility for data visualization. The analysis identified four themes relating to the implementation of the Artemis-A in schools, including the anticipated benefits and drawbacks of the app. Actionable suggestions for designing mental health assessment apps are also provided. CONCLUSIONS: Artemis-A is a potentially useful tool for secondary schools to assess the mental health of their pupils that requires minimal staff input and training. Future research will evaluate the feasibility and effectiveness of Artemis-A in a range of UK secondary schools.Medical Research Council Confidence in Concept award (MC_PC_18042)

    An exploration of the genetic epidemiology of non-suicidal self-harm and suicide attempt.

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    BACKGROUND: Empirical evidence supporting the distinction between suicide attempt (SA) and non-suicidal self-harm (NSSH) is lacking. Although NSSH is a risk factor for SA, we do not currently know whether these behaviours lie on a continuum of severity, or whether they are discrete outcomes with different aetiologies. We conducted this exploratory genetic epidemiology study to investigate this issue further. METHODS: We explored the extent of genetic overlap between NSSH and SA in a large, richly-phenotyped cohort (the Avon Longitudinal Study of Parents and Children; N = 4959), utilising individual-level genetic and phenotypic data to conduct analyses of genome-wide complex traits and polygenic risk scores (PRS). RESULTS: The single nucleotide polymorphism heritability of NSSH was estimated to be 13% (SE 0.07) and that of SA to be 0% (SE 0.07). Of the traits investigated, NSSH was most strongly correlated with higher IQ (rG = 0.31, SE = 0.22), there was little evidence of high genetic correlation between NSSH and SA (rG = - 0.1, SE = 0.54), likely due to the low heritability estimate for SA. The PRS for depression differentiated between those with NSSH and SA in multinomial regression. The optimal PRS prediction model for SA (Nagelkerke R2 0.022, p < 0.001) included ADHD, depression, income, anorexia and neuroticism and explained more variance than the optimal prediction model for NSSH (Nagelkerke R2 0.010, p < 0.001) which included ADHD, alcohol consumption, autism spectrum conditions, depression, IQ, neuroticism and suicide attempt. CONCLUSIONS: Our findings suggest that SA does not have a large genetic component, and that although NSSH and SA are not discrete outcomes there appears to be little genetic overlap between the two. The relatively small sample size and resulting low heritability estimate for SA was a limitation of the study. Combined with low heritability estimates, this implies that family or population structures in SA GWASs may contribute to signals detected

    Neuropsychiatric risk in children with intellectual disability of genetic origin:IMAGINE, a UK national cohort study

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    Background: Children with intellectual disability frequently have multiple co-morbid neuropsychiatric conditions and poor physical health. Genomic testing is increasingly recommended as a first-line investigation for these children. We aim to determine the effect of genomics, inheritance, and socioeconomic deprivation on neuropsychiatric risk in children with intellectual disability of genetic origin as compared with the general population. Methods: IMAGINE is a prospective cohort study using online mental health and medical assessments in a cohort of 3407 UK participants with intellectual disability and pathogenic genomic variants as identified by the UK's National Health Service (NHS). Our study is on a subset of these participants, including all children aged 4–19 years. We collected diagnostic genomic reports from NHS records and asked primary caregivers to provide an assessment of their child using the Development and Well-Being Assessment (DAWBA), the Strengths and Difficulties Questionnaire (SDQ), the Adaptive Behaviour Assessment System 3 (ABAS-3), and a medical history questionnaire. Each child was assigned a rank based on their postcode using the index of multiple deprivation (IMD). We compared the IMAGINE cohort with the 2017 National Survey of Children's Mental Health in England. The main outcomes of interest were mental health and neurodevelopment according to the DAWBA and SDQ. Findings: We recruited 2770 children from the IMAGINE study between Oct 1, 2014 and June 30, 2019, of whom 2397 (86·5%) had a basic assessment of their mental health completed by their families and 1277 (46·1%) completed a medical history questionnaire. The mean age of participants was 9·2 years (SD 3·9); 1339 (55·9%) were boys and 1058 (44·1%) were girls. 355 (27·8%) of 1277 reported a seizure disorder and 814 (63·7%) reported movement or co-ordination problems. 1771 (73·9%) of 2397 participants had a pathogenic copy number variant (CNV) and 626 (26·1%) had a pathogenic single nucleotide variant (SNV). Participants were representative of the socioeconomic spectrum of the UK general population. The relative risk (RR) of co-occurring neuropsychiatric diagnoses, compared with the English national population, was high: autism spectrum disorder RR 29·2 (95% CI 23·9–36·5), ADHD RR 13·5 (95% CI 11·1–16·3). In children with a CNV, those with a familial variant tended to live in more socioeconomically deprived areas than those with a de novo variant. Both inheritance and socioeconomic deprivation contributed to neuropsychiatric risk in those with a CNV.Interpretation: Children with genomic variants and intellectual disability are at an increased risk of neuropsychiatric difficulties. CNV variant inheritance and socioeconomic deprivation also contribute to the risk. Early genomic investigations of children with intellectual disability could facilitate the identification of the most vulnerable children. Additionally, harnessing parental expertise using online DAWBA assessments could rapidly identify children with exceptional needs to child mental health services. Funding: UK Medical Research Council and Medical Research Foundation.</p
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