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INTRODUCTION: Longitudinal research examining the impact of coronavirus disease 2019 (COVID-19) school closures on the mental health of adolescents is scarce. Prolonged periods of physical and social isolation because of such restrictions may have impacted heavily on adolescents' mental health and loneliness. METHODS: The current study addresses a major gap by examining the impact of school closures on the mental health and loneliness of 785, 10- to 17-year-old Western Australian adolescents (mean age = 14.1, SD = 1.31), who were surveyed across four time points: twice before COVID-19, once as schools closed, and once post reopening of schools. Pre- and post-COVID-19 changes in mental health and loneliness were compared using linear mixed models. Random intercept cross-lagged panel models (RI-CLPMs) assessed temporal associations between loneliness, depression symptoms, and positive mental wellbeing. RESULTS: Compared with pre-COVID-19 symptom levels, there were significant increases in depression symptoms, internalizing and externalizing symptoms, and a significant decrease in positive mental wellbeing at different points over time. Symptom change over time differed according to gender and pre-COVID-19 symptom severity. Significant increases in positive attitudes towards being alone and feelings of isolation occurred at different points over time. Gender differences were evident. RI-CLPMs highlighted the predictive significance of friendship quality and having a negative attitude towards being alone over time in relation to depression symptoms. A positive or negative attitude towards being alone was predictive of positive mental wellbeing over time. CONCLUSION: Findings provide evidence that COVID-19-related school closures adversely affected adolescents' mental health and feelings of loneliness.

BACKGROUND: The impact of COVID-19 (SARS-CoV-2) pandemic school lockdowns on the mental health problems and feelings of loneliness of adolescents with neurodevelopmental disorders (NDDs) is hypothesized to be greater than that of their non-NDD peers. This two and a half year longitudinal study compared changes in the mental health and loneliness of Western Australian adolescents pre-COVID-19 (November 2018 and April 2019), immediately prior to COVID-19 school lockdowns (March 2020), and post schools reopening (July/August 2020). METHODS: An age-and-gender matched sample of 476 adolescents with-or-without NDDs completed online assessments for mental health and loneliness. RESULTS: Adolescents with NDDs reported elevated levels of adverse mental health across all four waves of data collection. These young people experienced little change in mental health problems and feelings of loneliness over time, and any increase during school lockdowns returned to, or fell below pre-COVID-19 levels once schools reopened. In comparison, adolescents without NDDs experienced significant increases from a low baseline in depression symptoms, externalizing symptoms, feelings of isolation, and having a positive attitude to being alone, and evidenced a significant decline in positive mental wellbeing. Quality of friendships were unaffected by COVID-19 school lockdowns for all adolescents regardless of NDD status. Of the adolescents with NDDs, those with Attention-Deficit/Hyperactivity Disorder reported a significant increase in positive mental wellbeing following school lockdowns. CONCLUSIONS: Adolescents with NDDs emerged relatively unscathed from COVID-19 school lockdowns and the short term impacts associated with these were not maintained over time. These findings should be considered in the context of this study's geographical location and the unpredictability of school lockdowns. Learning to live with school lockdowns into the future may be a critical element for further investigati

Attention Deficit/hyperactivity disorder (ADHD) is conceptualized differently in the Diagnostic and Statistical Manual (DSM-5), the International Classification of Diseases-10 (ICD-10), and the Hierarchical Taxonomy of Psychopathology (HiTOP) frameworks. This study applied independent cluster confirmatory factor analysis (ICM-CFA), exploratory structure equation model with target rotation (ESEM), and the S-1 bi-factor CFA approaches to evaluate seven ADHD models yielded by different combinations of these taxonomic frameworks. Parents and teachers of a community sample of children (between 6 and 12 years of age) completed the Disruptive Behavior Rating Scale (for ADHD symptoms) and the Strengths and Difficulties Questionnaire (for validation). Our findings for both parent and teacher ratings provided the most support for the S-1 bi-factor CFA model comprised of (i) a g-factor based on ICD-10 impulsivity symptoms as the reference indicators and (ii) inattention and hyperactivity as specific factors. However, the hyperactivity-specific factor lacked clarity and reliability. Thus, our findings indicate that ADHD is best viewed as a disorder primarily reflecting impulsivity, though with a separable inattention (but no hyperactivity) component, i.e., “ADID (attention deficit/impulsivity disorder).” This model aligns with the HiTOP proposals.

Congenital heart disease (CHD) is the most common birth defect. Little is known of the impact of having a sibling with CHD. Available literature documents negative impact of having a sibling with other chronic conditions. This literature review considers empirical evidence investigating the impact of having a sibling with CHD. Twelve databases were searched, and 202 articles retrieved. Eleven articles met the inclusion criteria and were subject to data extraction, quality appraisal, and narrative synthesis. Three themes emerged: changes in normal life, impact on siblings, and factors affecting the extent of impact on siblings. Only one intervention study was identified, 5 of 10 studies were conducted over 20 years ago, and only 4 studies included children as participants. Evidence suggests siblings of children with CHD experience adverse life changes which lead to negative impacts in several domains. Evidence is inconclusive regarding mitigating factors of these impacts. Further research is needed to understand the experiences of being a sibling of a child with CHD.

The effectiveness of universal social emotional learning (SEL) programs are dependent on the incorporation of best practice principles, including an evaluative component. In the present study, the effects of a best practice, teacher-led SEL program was examined with 854 children aged 8–12 years. KooLKIDS uses an interactive multimedia format and animated character to help children develop their emotion regulation capacities, social and friendship skills, empathy and compassion for others, and self-esteem. A quasi-experimental waitlist-control design was used to examine the impact of KooLKIDS on social and emotional competence, behavioral and emotional problems, academic achievement and effort. Hierarchical linear modeling demonstrated significant increases in social and emotional competence, and reductions in internalizing and externalizing problems in children post KooLKIDS program in the intervention group. The findings suggest that KooLKIDS has strong potential as a teacher-led, classroom-based, structured program for enhancing children's social and emotional learning.

Reactive and proactive aggression is a dichotomous classification of aggression in adults and children. This distinction has been supported by a number of variable-based and factor analytic studies. Due to high inter-correlations, however, the reactive-proactive aggression distinction may not be entirely useful for understanding how group or individual aggressive behavior varies in children and adolescents. Drawing on a sample of primary school-aged children (N = 242) aged 7-12 years, this study sought to determine whether reactive and proactive aggression could be distinguished at the variable-level and the person-level in children. Exploratory Factor Analysis of data from an aggression instrument measuring both functions and forms of aggression, found a two-factor construct of aggression constituted by a reactive and proactive aggression factor. A person-based analysis was then conducted after classifying children according to the presence of reactive and/or proactive aggression. Discriminant function analysis was used to discern whether classifications on the basis of aggression function produced meaningful distinctions in terms of antisocial traits and emotional valence and intensity measures. Two functions were identified which distinguished children with different combinations of reactive and proactive aggression. Reactive-only aggressive children were defined primarily by high levels of impulsivity, while proactive-only children were defined primarily by higher levels of antisocial traits. Children high in both types of aggression exhibited both the presence of antisocial traits and impulsivity. Contrary to recent findings, this suggests that differences in aggression functions remain meaningful at the person level in children. Implications for interventions are discussed.

© 2018, The Author(s). Adolescents are constantly connected with each other and the digital landscape through a myriad of screen media devices. Unprecedented access to the wider world and hence a variety of activities, particularly since the introduction of mobile technology, has given rise to questions regarding the impact of this changing media environment on the mental health of young people. Depressive symptoms are one of the most common disabling health issues in adolescence and although research has examined associations between screen use and symptoms of depression, longitudinal investigations are rare and fewer still consider trajectories of change in symptoms. Given the plethora of devices and normalisation of their use, understanding potential longitudinal associations with mental health is crucial. A sample of 1,749 (47% female) adolescents (10–17 years) participated in six waves of data collection over two years. Symptoms of depression, time spent on screens, and on separate screen activities (social networking, gaming, web browsing, TV/passive) were self-reported. Latent growth curve modelling revealed three trajectories of depressive symptoms (low-stable, high-decreasing, and low-increasing) and there were important differences across these groups on screen use. Some small, positive associations were evident between depressive symptoms and later screen use, and between screen use and later depressive symptoms. However, a Random Intercept Cross Lagged Panel Model revealed no consistent support for a longitudinal association. The study highlights the importance of considering differential trajectories of depressive symptoms and specific forms of screen activity to understand these relationships.