Genetic influences on sibling bullying and mental health difficulties.

BACKGROUND: Sibling bullying is associated with mental health difficulties; both in the short and long term. It is commonly assumed that sibling bullying leads to mental health difficulties but additional explanations for the relationship between the two are seldom investigated. METHODS: To address this gap in knowledge, we used a genetically sensitive design with data from the Avon Longitudinal Study of Parents and Children (maximum N = 3,959, 53% female). At ages 11-13 years, individuals self-reported their involvement in sibling bullying, as a victim and perpetrator, and parents reported on their child's mental health difficulties. Polygenic scores, indices of genetic risk for psychiatric disorders (major depressive disorder and attention deficit hyperactivity disorder) were computed using children's genetic data. Regression and structural equation models were fitted to the data. RESULTS: Sibling bullying, victimisation and perpetration, and polygenic scores both predicted mental health difficulties in an additive manner but there was no interaction between them. Polygenic scores for mental health difficulties were also associated with sibling bullying. CONCLUSIONS: These findings suggest that sibling bullying, victimisation and perpetration, is associated with mental health difficulties, even after accounting for some genetic effects. Additionally, the relationship between sibling bullying and mental health difficulties may be, at least partly, due to shared genetic aetiology. One possibility is that genetic risk for mental health difficulties influences the onset of mental health difficulties which in turn make children more susceptible to sibling bullying.

Explaining the influence of non-shared environment (NSE) on symptoms of behaviour problems from preschool to adulthood: mind the missing NSE gap.

BACKGROUND: Individual differences in symptoms of behaviour problems in childhood and adolescence are not primarily due to nature or nurture - another substantial source of variance is non-shared environment (NSE). However, few specific environmental factors have been found to account for these NSE estimates. This creates a 'missing NSE' gap analogous to the 'missing heritability' gap, which refers to the shortfall in identifying DNA differences responsible for heritability. We assessed the extent to which variance in behaviour problem symptoms during the first two decades of life can be accounted for by measured NSE effects after controlling for genetics and shared environment. METHODS: The sample included 4,039 pairs of twins in the Twins Early Development Study whose environments and symptoms of behaviour problems were assessed in preschool, childhood, adolescence and early adulthood via parent, teacher and self-reports. Twin-specific environments were assessed via parent-reports, including early life adversity, parental feelings, parental discipline and classroom environment. Multivariate longitudinal twin model-fitting was employed to estimate the variance in behaviour problem symptoms at each age that could be predicted by environmental measures at the previous age. RESULTS: On average across childhood, adolescence and adulthood, parent-rated NSE composite measures accounted for 3.4% of the reliable NSE variance (1.0% of the total variance) in parent-rated, symptoms of behaviour problems, 0.5% (0.1%) in teacher-rated symptoms and 0.9% (0.5%) in self-rated symptoms after controlling for genetics, shared environment and error of measurement. Cumulatively across development, our parent-rated NSE measures in preschool, childhood and adolescence predicted 4.7% of the NSE variance (2.0% of the total variance) in parent-rated and 0.3% (0.2%) in self-rated behaviour problem symptoms in adulthood. CONCLUSIONS: The missing NSE gap between variance explained by measured environments and total NSE variance is large. Home and classroom environments are more likely to influence behaviour problem symptoms via genetics than via NSE.

School quality ratings are weak predictors of students' achievement and well-being.

BACKGROUND: In England, all state-funded schools are inspected by an independent government agency, the Office for Standards in Education, Children's Services and Skills (Ofsted). Inspections aim to hold schools accountable and to promote the improvement of education, with the results made available to the public. Ofsted reports intend to index school quality, but their influence on students' individual outcomes has not been previously studied. The aim of the current study was to explore the extent to which school quality, as indexed by Ofsted ratings, is associated with students' educational achievement, well-being and school engagement. METHODS: We use an England population-based sample of 4,391 individuals, for whom school performance at age 11 and GCSE grades at age 16 were accessed from the National Pupil Database, and who completed measures of well-being and school engagement at age 16. RESULTS: We found that Ofsted ratings of secondary school quality accounted for 4% of the variance in students' educational achievement at age 16, which was further reduced to 1% of the variance after we accounted for prior school performance at age 11 and family socioeconomic status. Furthermore, Ofsted ratings were weak predictors of school engagement and student well-being, with an average correlation of .03. CONCLUSION: Our findings suggest that differences in school quality, as indexed by Ofsted ratings, have little relation to students' individual outcomes. Accordingly, our results challenge the usefulness of Ofsted ratings as guides for parents and students when choosing secondary schools.

Genetic and Environmental Influences on Adolescent Emotional Inertia in Daily Life.

Emotional inertia represents the extent to which individuals' emotions tend to carry over from one time point to the next. High emotional inertia indicates low emotion regulation ability and has been associated with psychological maladjustment and mood disorders. However, the extent of genetic influence on emotional inertia, particularly in adolescents, is largely unknown. The current study examined genetic and environmental influences on individual differences in emotional inertia. This study followed a sample of 447 17-year-old same-sex UK twins (41% males) with an innovative intensive longitudinal daily diary design that captured their intra-individual emotion fluctuations over one month. Adolescents reported their positive and negative emotions once a day consecutively for up to 40 days. Time series analyses were used to construct emotional inertia and classical twin analyses were used to disentangle its genetic and environmental influences. The results showed that inertia for positive emotion was only modestly heritable and inertia for negative emotion showed no heritability at all. Both measures showed predominantly non-shared environmental influences. These findings highlight the importance of unique environmental influences in shaping individual differences in how well adolescents regulate their emotions and how easily they move from one emotional state to another in daily life. The importance of identifying specific environmental influences on emotional inertia is discussed, and suggestions of what those influences might be are offered.

Externalizing problems in childhood and adolescence predict subsequent educational achievement but for different genetic and environmental reasons.

BACKGROUND: Childhood behavior problems predict subsequent educational achievement; however, little research has examined the etiology of these links using a longitudinal twin design. Moreover, it is unknown whether genetic and environmental innovations provide incremental prediction for educational achievement from childhood to adolescence. METHODS: We examined genetic and environmental influences on parental ratings of behavior problems across childhood (age 4) and adolescence (ages 12 and 16) as predictors of educational achievement at age 16 using a longitudinal classical twin design. RESULTS: Shared-environmental influences on anxiety, conduct problems, and peer problems at age 4 predicted educational achievement at age 16. Genetic influences on the externalizing behaviors of conduct problems and hyperactivity at age 4 predicted educational achievement at age 16. Moreover, novel genetic and (to a lesser extent) nonshared-environmental influences acting on conduct problems and hyperactivity emerged at ages 12 and 16, adding to the genetic prediction from age 4. CONCLUSIONS: These findings demonstrate that genetic and shared-environmental factors underpinning behavior problems in early childhood predict educational achievement in midadolescence. These findings are consistent with the notion that early-childhood behavior problems reflect the initiation of a life-course persistent trajectory with concomitant implications for social attainment. However, we also find evidence that genetic and nonshared-environment innovations acting on behavior problems have implications for subsequent educational achievement, consistent with recent work arguing that adolescence represents a sensitive period for socioaffective development.

The high heritability of educational achievement reflects many genetically influenced traits, not just intelligence.

Because educational achievement at the end of compulsory schooling represents a major tipping point in life, understanding its causes and correlates is important for individual children, their families, and society. Here we identify the general ingredients of educational achievement using a multivariate design that goes beyond intelligence to consider a wide range of predictors, such as self-efficacy, personality, and behavior problems, to assess their independent and joint contributions to educational achievement. We use a genetically sensitive design to address the question of why educational achievement is so highly heritable. We focus on the results of a United Kingdom-wide examination, the General Certificate of Secondary Education (GCSE), which is administered at the end of compulsory education at age 16. GCSE scores were obtained for 13,306 twins at age 16, whom we also assessed contemporaneously on 83 scales that were condensed to nine broad psychological domains, including intelligence, self-efficacy, personality, well-being, and behavior problems. The mean of GCSE core subjects (English, mathematics, science) is more heritable (62%) than the nine predictor domains (35-58%). Each of the domains correlates significantly with GCSE results, and these correlations are largely mediated genetically. The main finding is that, although intelligence accounts for more of the heritability of GCSE than any other single domain, the other domains collectively account for about as much GCSE heritability as intelligence. Together with intelligence, these domains account for 75% of the heritability of GCSE. We conclude that the high heritability of educational achievement reflects many genetically influenced traits, not just intelligence.

Person-Specific Non-shared Environmental Influences in Intra-individual Variability: A Preliminary Case of Daily School Feelings in Monozygotic Twins.

Most behavioural genetic studies focus on genetic and environmental influences on inter-individual phenotypic differences at the population level. The growing collection of intensive longitudinal data in social and behavioural science offers a unique opportunity to examine genetic and environmental influences on intra-individual phenotypic variability at the individual level. The current study introduces a novel idiographic approach and one novel method to investigate genetic and environmental influences on intra-individual variability by a simple empirical demonstration. Person-specific non-shared environmental influences on intra-individual variability of daily school feelings were estimated using time series data from twenty-one pairs of monozygotic twins (age = 10 years, 16 female pairs) over two consecutive weeks. Results showed substantial inter-individual heterogeneity in person-specific non-shared environmental influences. The current study represents a first step in investigating environmental influences on intra-individual variability with an idiographic approach, and provides implications for future behavioural genetic studies to examine developmental processes from a microscopic angle.

From classroom environment to mathematics achievement: The mediating role of self-perceived ability and subject interest.

Drawing on Bandura's triadic reciprocal causation model, perceived classroom environment and three intrapersonal factors (mathematics self-efficacy, maths interest and academic self-concept) were considered as predictors of test performance in two correlated mathematics assessments: a public examination (GCSE) and an on-line test, both taken by UK pupils at age 16 (n = 6689). Intrapersonal factors were significantly associated with both test scores, even when the alternative score was taken into account. Classroom environment did not correlate with mathematics achievement once intrapersonal factors and alternative test performance were included in the model, but was associated with subject interest and academic self-concept. Perceptions of classroom environment may exercise an indirect influence on achievement by boosting interest and self-concept. In turn, these intrapersonal factors have direct relationships with achievement and were found to mediate the relationship between perceived classroom environment and maths performance. Findings and their implications for mathematics education are discussed.

Can Genetics Research Benefit Educational Interventions for All?

Pretty much everyone knows that our genes have at least something to do with how able or how high achieving we are. Some believe that we should not speak of this common knowledge, nor inquire into how genetic influence works or what it might mean. If we do not keep an open mind to the fact of genetic influence on academic achievement, however, then we cannot explore its possible implications. And if we do not consider the implications, then we cannot, as a society, harness any potential benefits or avoid possible pitfalls. So that's what this essay is about-exploring what behavioral genetics research might be able to offer to educational theory, policy, and practice. We cannot yet use biological information to make accurate predictions for all children. We do know, however, that academic achievement is heritable, which is to say that differences between individuals are influenced by differences in their DNA. If genes are part of the problem for some pupils (to take the negative spin on this), then it seems likely that studying them could be part of a solution. And that's what behavioral geneticists are trying to do-to chart and understand pathways from DNA to behavior and to identify interventions that can maximize outcomes for all. The fact is, though, that we have an awfully long way to go.

"I need them for my autism, but I don't know why": Exploring the friendship experiences of autistic children in UK primary schools.

Background and aims: Autistic children can experience challenges in making and maintaining friendships, and middle childhood (ages 6-12) may be particularly challenging as social networks become more complex. However, a large proportion of research into these experiences is based on adult reports or focuses on the experiences of adolescents, meaning that the voices of younger children are absent. Due to the exclusion of younger children from research, we have a limited understanding of their first-hand experiences of their friendships and the support they receive, which has implications for friendship support and wellbeing. This study aimed to amplify the voices of younger autistic children to explore their first-hand experiences of friendships and highlight areas of social support which may be most beneficial to primary-aged autistic children. Methods: This study used novel creative methods to support interviews with 19 autistic primary school-aged children to explore their experiences of friendship. Parent-led interviews and scrapbooks supported the children in discussing the challenges and strengths of their friendships. Results: Children discussed the challenges and strengths of their friendships including the impact of social norms on the need to have friends and their support needs in this area of life. Children also discussed gaps in their current friendships and how they would like to see these filled. It was clear that not all children required or wanted neurotypical-style friendships, with many valuing companionship and gameplay over intimacy. Analysis highlighted the heterogeneity of autistic children's friendships, especially in relation to gender and age, calling for more tailored and individualized support. Conclusion and implications: Results from the current study show that autistic children can and do have successful friendships but that these friendships may differ from those of their non-autistic peers. The study further adds to the existing literature by showing that younger autistic children can be included in research by using differentiated, accessible and creative methods, and that they are able to voice their opinions on matters surrounding support. It also calls for a tailored approach to supporting autistic children in school and speaking with children to give them autonomy over the support they want to receive.

What do parents of nonverbal and minimally verbal autistic children think about genomic autism research?

LAY ABSTRACT: In Summer 2021, a genomic study of autism, Spectrum 10 K, was paused due to backlash from the autistic and autism communities. This raised important questions about how these communities perceive genomic research. The Personal Experiences of Autism and Perceptions of DNA-based research study was established to address this issue among a range of sub-groups within these communities. Twenty parents of nonverbal or minimally verbal autistic children took part in the current study. Data were provided in diverse formats including online interviews, telephone interviews, and writing. This approach was co-produced with autistic experts by experience and involved a parent of a minimally verbal autistic child. Data were analysed using reflexive Thematic Analysis. We found that participants were supportive of autism research, including some genomic research, as long as it is designed to support autistic people and is ethical and transparent. However, while some believed that polygenic scores, genomic predictors of the statistical probability of being autistic, would be helpful, others argued that this would only be true in an ideal world and that the world is too far from ideal. Participants felt excluded from the autistic and autism communities and that the dominant voices in those communities do not represent them or their children. We concluded that genomic researchers need to work with the autistic and autism communities to design future work, and that it is important to ensure a representative range of voices are heard.

Exploring the genetic prediction of academic underachievement and overachievement.

Academic underachievement refers to school performance which falls below expectations. Focusing on the pivotal first stage of education, we explored a quantitative measure of underachievement using genomically predicted achievement delta (GPAΔ), which reflects the difference between observed and expected achievement predicted by genome-wide polygenic scores. We analyzed the relationship between GPAΔ at age 7 and achievement trajectories from ages 7 to 16, using longitudinal data from 4175 participants in the Twins Early Development Study to assess empirically the extent to which students regress to their genomically predicted levels by age 16. We found that the achievement of underachievers and overachievers who deviated from their genomic predictions at age 7 regressed on average by one-third towards their genomically predicted levels. We also found that GPAΔ at age 7 was as predictive of achievement trajectories as a traditional ability-based index of underachievement. Targeting GPAΔ underachievers might prove cost-effective because such interventions seem more likely to succeed by going with the genetic flow rather than swimming upstream, helping GPAΔ underachievers reach their genetic potential as predicted by their GPS. However, this is a hypothesis that needs to be tested in intervention research investigating whether GPAΔ underachievers respond better to the intervention than other underachievers. We discuss the practicality of genomic indices in assessing underachievement.

A longitudinal study of the mental health of autistic children and adolescents and their parents during COVID-19: Part 1, quantitative findings.

LAY ABSTRACT: Autistic children and adolescents, and their parents/carers, tend to experience more symptoms of anxiety and depression compared to those with other special educational needs and disabilities. The rapid change in society as a result of the COVID-19 pandemic is likely to have disproportionately affected autistic young people and their parents/carers. We investigated how the mental health of autistic young people, and their parents/carers, developed during the first lockdown in the United Kingdom and how it changed once schools fully reopened for face-to-face teaching approximately 6 months later. Parents/carers completed online standardised questionnaires about their own and their child's mental health at four time points between March 2020 and October 2020. We found that, throughout this period, autistic young people experienced more symptoms of anxiety and depression compared to those with other special educational needs and disabilities. Anxiety levels decreased as lockdown progressed and schools reopened for face-to-face teaching but only for those with other special educational needs and disabilities. For autistic young people, both anxiety and depression symptoms remained high throughout. There were no differences in the mental health of parents/carers of autistic children compared to those with other special educational needs and disabilities. These findings suggest that the mental health of autistic children and adolescents is likely to have been disproportionately affected during and after the first lockdown in the United Kingdom. In the second part of this article (Asbury & Toseeb, 2022), we attempt to explain these trends using qualitative data provided by parents during the same period.

A longitudinal study of the mental health of autistic children and adolescents and their parents during COVID-19: Part 2, qualitative findings.

LAY ABSTRACT: We know that autistic children and young people, and their caregivers, are at increased risk of mental ill health. We asked whether the first 6 months of COVID-19 exacerbated that risk, and whether the implications were different for autistic pupils and their caregivers, than for those with other special educational needs and difficulties. In a linked paper, we found that caregivers of autistic pupils reported higher levels of depression and anxiety symptoms in their children than parents of children with other special educational needs and difficulties (Toseeb & Asbury, 2022). For pupils with other special educational needs and difficulties, their parent-reported anxiety symptoms eased over time while remaining high throughout for autistic pupils. There were no differences in mental health and wellbeing between caregivers of autistic pupils and those with other special educational needs and difficulties. Here, we used parents' written descriptions of their own and their child's mental health during the first 6 months of COVID-19 to explore these linked findings in greater depth. We identified strong evidence of worry and distress for all, but most prominently autistic children and young people. Our finding that worry and distress declined over time for pupils with other special educational needs and difficulties, but not for autistic pupils, was supported and we observed a few differences between caregivers. We also found evidence of wellbeing throughout the sample, and examples of some (mainly autistic) pupils benefitting from a reduction in demands (e.g. going to school). This has implications for our understanding of the school experience for autistic pupils. Findings suggest that the mental health of autistic children and young people may have been disproportionately affected during the first 6 months of COVID-19 and that careful consideration of optimal support, from both health and education perspectives, is vital.

Do Children Think it is Important to Predict Learning and Behaviour Problems, and Do They Think Genetic Screening Has a Role to Play in This?

This study explores how capable young children are of thinking about a potential future that uses DNA screening to assess an individual's likelihood of experiencing learning or behaviour difficulties. Puppets and a scenario-based approach were used to ask children aged 4-10 (n = 165) whether they thought DNA screening might be helpful or harmful. A content analysis derived six categories: (1) 'Worried about being - and being seen as - different'; (2) 'Beliefs about the origins of learning and behaviour'; (3) 'Testing is harmful'; (4) 'Testing could help'; (5) 'How soon is too soon for testing?'; and (6) 'What's the point?'. Findings indicate young children, as key stakeholders, can make useful contributions to public debate in this important and controversial area.

Parents' perceptions of the impact of COVID-19 and school transition on autistic children's friendships.

LAY ABSTRACT: Research shows that moving schools can be a challenging time for autistic children and young people. One factor that has been found to support successful transition is friendships. However, there is little research exploring how transition between schools affects autistic children's friendships, and even less on how children's relationships during transition have been impacted by COVID-19. Fourteen parents of autistic children and young people were interviewed about their child's move to a new school and the impact they felt this had on their friendships. Parents described how moving with existing friends helped some children to find the transition less challenging. Others had differing experiences, with their children's friendships playing a much smaller role in the move. Differences were also seen with regard to the impact of COVID-19, with some parents speaking of how hard being away from friends was for their child, while others found the social restrictions a welcome break from interacting with peers. The study highlights how different the experiences of autistic individuals, and their parents, can be and the importance of a child-centred approach to transition support.

'It feels like I'm back to being a teacher': A longitudinal trajectory analysis of teachers' experiences during the first 8 months of COVID-19 in England.

BACKGROUND: Understanding teachers' experiences throughout the school closures and reopenings that have characterized large periods of the COVID-19 pandemic provides us with unique insights into what it means to be a teacher during a global public health crisis. AIM AND METHOD: To investigate teachers' narratives of their experiences, we conducted 95 semi-structured interviews with 24 teachers in England across four time points between April and November 2020. We used a longitudinal qualitative trajectory analysis of participants' stories of their high-, low- and turning-points. RESULTS: We derived four themes that were evident at each time point and developed over time. The themes were: (1) growing frustration at uncertainties caused by poor government leadership, (2) expanding concern for pupil learning and well-being, (3) an increasingly labour-intensive and exhausting job and (4) declining pleasure and pride in being a teacher. CONCLUSIONS: The findings shed light on the impact of COVID-19 on the professional identity of these teachers and we propose ways in which teachers can be supported now and in the future.

The Development of Mental Health Difficulties in Young People With and Without Developmental Language Disorder: A Gene-Environment Interplay Study Using Polygenic Scores.

PURPOSE: Young people with developmental language disorder (DLD) have poorer mental health than those without DLD. However, not all young people with DLD are equally affected; some have more mental health difficulties than others. What explains these differences remains unclear. METHOD: Data from a community cohort study, the Avon Longitudinal Study of Parents and Children, were analyzed to investigate genetic and environmental influences on the development of mental health difficulties at five time points from childhood (7 years) to adolescence (16 years) in 6,387 young people (8.7% with DLD). Regression and latent class models were fitted to the data. RESULTS: Polygenic scores (PGSs), indices of genetic risk, for common psychiatric disorders (major depressive disorder, anxiety disorder, and attention deficit hyperactivity disorder) predicted mental health difficulties in both groups (with and without DLD). The presence of DLD, in some instances, amplified mental health difficulties for those with high genetic risk for common psychiatric disorders. Subgroups of children with similar developmental trajectories of mental health difficulties were identified. Young people with DLD were more likely than those without DLD to follow mental health subgroups characterized by consistently high levels of difficulties during development. PGSs, socioeconomic status, and the early home environment distinguished subgroups with low mental health difficulties from those characterized by high levels of difficulties, but these effects did not differ based on DLD status. CONCLUSIONS: These findings suggest that, for the most part, both genetic and environmental risk affect the development of mental health difficulties in a cumulative way for young people with DLD (and those without). Some analysis did, however, suggest that genetic risk for common psychiatric disorders might manifest more strongly in those with DLD compared with those without DLD. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.22351012.

Measuring CHAOS? Evaluating the short-form Confusion, Hubbub And Order Scale.

The Confusion, Hubbub and Order Scale (CHAOS) - short form - is a survey tool intended to capture information about home environments. It is widely used in studies of child and adolescent development and psychopathology, particularly twin studies. The original long form of the scale comprised 15 items and was validated in a sample of infants in the 1980s. The short form of the scale was developed in the late 1990s and contains six items, including four from the original scale, and two new items. This short form has not been validated and is the focus of this study. We use five samples drawn from twin studies in Australia, the UK, and the USA, and examine measurement invariance of the CHAOS short-form. We first compare alternate confirmatory factor models for each group; we next test between-group configural, metric and scalar invariance; finally, we examine predictive validity of the scale under different conditions. We find evidence that a two-factor configuration of the six items is more appropriate than the commonly used one-factor model. Second, we find measurement non-invariance across groups at the metric invariance step, with items performing differently depending on the sample. We also find inconsistent results in tests of predictive validity using family-level socioeconomic status and academic achievement as criterion variables. The results caution the continued use of the short-form CHAOS in its current form and recommend future revisions and development of the scale for use in developmental research.

Alone in the COVID-19 lockdown: An exploratory study.

Feelings of isolation have been prevalent worldwide since March 2020 due to COVID-19 pandemic lockdowns. This has prompted increased concerns about loneliness and related mental health problems. During the first UK COVID-19 lockdown, 71 participants were asked to share their high and low point stories from lockdown. These were analyzed using thematic analysis to explore how "aloneness" was experienced at this time. A deductive analyses supported three key facets of aloneness reported in the literature: emotional loneliness, social loneliness, and existential loneliness, as well as a more positive form of aloneness, solitude. An inductive analysis identified risk and protective factors for loneliness, comprising worry, lockdown changes, and poor mental health; and social contact, emotional contact, stability and simple life. The study highlights the importance of understanding how facets of aloneness interrelate, and how understanding risk and protective factors can help us to develop social and policy interventions to alleviate loneliness. In particular, solitude is proposed as a potential mechanism for alleviating loneliness, particularly existential loneliness, alongside more common social methods.