Showing papers in "Journal of Child Psychology and Psychiatry in 2022"

Prevalence and associated factors of depression and anxiety symptoms among college students: a systematic review and meta-analysis.

Abstract: BACKGROUND To evaluate the global prevalence of depression and anxiety symptoms among college students and potential associated factors. METHODS PubMed and Web of Science were searched from their inception to March 28, 2021. Random-effects models were used to calculate the pooled prevalence of depression and anxiety. Subgroup analyses were conducted to explore potential heterogeneity. Egger's and Begg's test were used to assess publication bias. RESULTS A total of 64 studies with 100,187 individuals were included in the present meta-analysis. The pooled prevalence of depression and anxiety symptoms among college students was 33.6% (95% confidence interval [CI] 29.3%-37.8%) and 39.0% (95% CI, 34.6%-43.4%), respectively. The highest prevalence of depression symptoms was found in Africa region (40.1%, 95% CI 12.3-67.9%), lower middle-income countries (42.5%, 95% CI 28.6-56.3%), and medical college students (39.4%, 95% CI 29.3-49.6%). For the prevalence of anxiety symptoms, the highest was observed in North America (48.3%, 95% CI 37.4-59.2%), lower middle-income countries (54.2%, 95% CI 35.0-73.4%), medical college students (47.1%, 95% CI 35.1-59.1%) and identified by Beck Anxiety Inventory (BAI) (49.1%, 95% CI 31.0-43.0%). Besides, the prevalence of depression symptoms (35.9%, 95% CI 20.2-51.7%) and anxiety symptoms (40.7%, 95% CI 39.5-42.0%) was higher in studies conducted after the coronavirus disease 2019 (COVID-19) outbreak. CONCLUSIONS Our study suggests that a lot of college students experience depression and anxiety symptoms and clarifies factors that are related to these mental disorders. Effective prevention and intervention strategies for mental disorders should be developed among college students.

Annual Research Review: The contributions of the RDoC research framework on understanding the neurodevelopmental origins, progression and treatment of mental illnesses.

Abstract: The National Institute of Mental Health (NIMH) proposed the Research Domain Criteria (RDoC) initiative as an alternate way to organize research of mental illnesses, by looking at dimensions of functioning rather than being tied to categorical diagnoses. This paper briefly discusses the motivation for and organization of RDoC, and then explores the NIMH portfolio and recent work to monitor the utility and progress that RDoC has afforded developmental research. To examine how RDoC has influenced the NIMH developmental research portfolio over the last decade, we employed a natural language processing algorithm to identify the number of developmental science grants classified as incorporating an RDoC approach. Additional portfolio analyses examine temporal trends in funded RDoC-relevant grants, publications and citations, and research training opportunities. Reflecting on how RDoC has influenced the focus of grant applications, we highlight examples from research on Attention-Deficit Hyperactivity Disorder (ADHD), childhood irritability, and Autism Spectrum Disorder (ASD). Lastly, we consider how the dimensional and transdiagnostic approaches emphasized in RDoC have facilitated research on personalized intervention for heterogeneous disorders and preventive/early interventions targeting emergent or subthreshold psychopathology.

Prenatal exposure to air pollution is associated with altered brain structure, function, and metabolism in childhood.

Abstract: BACKGROUND Prenatal exposure to air pollution disrupts cognitive, emotional, and behavioral development. The brain disturbances associated with prenatal air pollution are largely unknown. METHODS In this prospective cohort study, we estimated prenatal exposures to fine particulate matter (PM2.5 ) and polycyclic aromatic hydrocarbons (PAH), and then assessed their associations with measures of brain anatomy, tissue microstructure, neurometabolites, and blood flow in 332 youth, 6-14 years old. We then assessed how those brain disturbances were associated with measures of intelligence, ADHD and anxiety symptoms, and socialization. RESULTS Both exposures were associated with thinning of dorsal parietal cortices and thickening of postero-inferior and mesial wall cortices. They were associated with smaller white matter volumes, reduced organization in white matter of the internal capsule and frontal lobe, higher metabolite concentrations in frontal cortex, reduced cortical blood flow, and greater microstructural organization in subcortical gray matter nuclei. Associations were stronger for PM2.5 in boys and PAH in girls. Youth with low exposure accounted for most significant associations of ADHD, anxiety, socialization, and intelligence measures with cortical thickness and white matter volumes, whereas it appears that high exposures generally disrupted these neurotypical brain-behavior associations, likely because strong exposure-related effects increased the variances of these brain measures. CONCLUSIONS The commonality of effects across exposures suggests PM2.5 and PAH disrupt brain development through one or more common molecular pathways, such as inflammation or oxidative stress. Progressively higher exposures were associated with greater disruptions in local volumes, tissue organization, metabolite concentrations, and blood flow throughout cortical and subcortical brain regions and the white matter pathways interconnecting them. Together these affected regions comprise cortico-striato-thalamo-cortical circuits, which support the regulation of thought, emotion, and behavior.

Covid‐19, social restrictions, and mental distress among young people: a UK longitudinal, population‐based study

Abstract: Background Adolescence is a critical period for social and emotional development. We sought to examine the impacts of Covid‐19 and related social restrictions and school closures on adolescent mental health, particularly among disadvantaged, marginalised, and vulnerable groups. Methods We analysed four waves of data – 3 pre‐Covid‐19 (2016–2019) and 1 mid‐Covid‐19 (May–Aug 2020; n, 1074; 12–18 years old, >80% minority ethnic groups, 25% free school meals) from REACH (Resilience, Ethnicity, and AdolesCent Mental Health), an adolescent cohort based in inner‐London, United Kingdom. Mental health was assessed using validated measures at each time point. We estimated temporal trends in mental distress and examined variations in changes in distress, pre‐ to mid‐Covid‐19, by social group, and by pre‐ and mid‐pandemic risks. Results We found no evidence of an overall increase in mental distress midpandemic (15.9%, 95% CI: 13.0, 19.4) compared with prepandemic (around 18%). However, there were variations in changes in mental distress by subgroups. There were modest variations by social group and by pre‐Covid risks (e.g., a small increase in distress among girls (b [unstandardised beta coefficient] 0.42 [−0.19, 1.03]); a small decrease among boys (b − 0.59 [−1.37, 0.19]); p for interaction .007). The most notable variations were by midpandemic risks: that is, broadly, increases in distress among those reporting negative circumstances and impacts (e.g., in finances, housing, social support and relationships, and daily routines) and decreases in distress among those reporting positive impacts. Conclusions We found strong evidence that mental distress increased among young people who were most negatively impacted by Covid‐19 and by related social restrictions during the first lockdown in the United Kingdom.

Annual Research Review: Perspectives on progress in ADHD science - from characterization to cause.

Abstract: The science of attention-deficit/hyperactivity disorder (ADHD) is motivated by a translational goal - the discovery and exploitation of knowledge about the nature of ADHD to the benefit of those individuals whose lives it affects. Over the past fifty years, scientific research has made enormous strides in characterizing the ADHD condition and in understanding its correlates and causes. However, the translation of these scientific insights into clinical benefits has been limited. In this review, we provide a selective and focused survey of the scientific field of ADHD, providing our personal perspectives on what constitutes the scientific consensus, important new leads to be highlighted, and the key outstanding questions to be addressed going forward. We cover two broad domains - clinical characterization and, risk factors, causal processes and neuro-biological pathways. Part one focuses on the developmental course of ADHD, co-occurring characteristics and conditions, and the functional impact of living with ADHD - including impairment, quality of life, and stigma. In part two, we explore genetic and environmental influences and putative mediating brain processes. In the final section, we reflect on the future of the ADHD construct in the light of cross-cutting scientific themes and recent conceptual reformulations that cast ADHD traits as part of a broader spectrum of neurodivergence.

A multi-method examination of sluggish cognitive tempo in relation to adolescent sleep, daytime sleepiness, and circadian preference.

Abstract: BACKGROUND The field's understanding of the association between sluggish cognitive tempo (SCT) and sleep is severely limited by the lack of multi-method and multi-informant research designs that move beyond global ratings, often focused on a limited number of sleep-related domains, such as daytime sleepiness. The current study begins to address these limitations by using actigraphy, daily sleep diary, and self- and parent-report global ratings of sleep in adolescents, a developmental period marked by changes in SCT, sleep, and circadian function. As SCT and sleep are also associated with ADHD symptoms, we tested these associations in a sample of adolescents with and without ADHD. METHODS Adolescents (N = 302; M age = 13.17 years, 44.7% female) with (n = 162) and without ADHD (n = 140) and parents completed global ratings of sleep and daytime sleepiness, and adolescents completed a measure of circadian preference. Adolescents also wore actigraphs for approximately two weeks, during which daily diaries were completed. RESULTS Above and beyond demographic characteristics (i.e., sex, race, and family income), pubertal development, medication use, and ADHD group status, adolescents' self-reported SCT symptoms were uniquely associated with shorter sleep duration and later sleep onset per both actigraphy and daily diary. SCT symptoms were also uniquely associated with longer sleep onset latency and poorer overall sleep (per daily diary), more sleep/wake problems and daytime sleepiness (per adolescent rating), more difficulties initiating and maintaining sleep (per parent rating), and later eveningness preference (per adolescent rating). Nearly all significant effects remained in sensitivity analyses controlling for adolescent- or parent-reported ADHD symptom dimensions. CONCLUSIONS Findings provide the strongest evidence to date for SCT being uniquely linked to poorer sleep, greater daytime sleepiness, and a later evening circadian preference across subjective and objective measures. Longitudinal studies are needed to evaluate predictive and bidirectional associations.

Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes

Abstract: Background Genetic influences are ubiquitous as virtually all phenotypes and most exposures typically classified as environmental have been found to be heritable. A polygenic score summarises the associations between millions of genetic variants and an outcome in a single value for each individual. Ever lowering costs have enabled the genotyping of many samples relevant to child psychology and psychiatry research, including cohort studies, leading to the proliferation of polygenic score studies. It is tempting to assume that associations detected between polygenic scores and phenotypes in those studies only reflect genetic effects. However, such associations can reflect many pathways (e.g. via environmental mediation) and biases. Methods Here, we provide a comprehensive overview of the many reasons why associations between polygenic scores, environmental exposures, and phenotypes exist. We include formal representations of common analyses in polygenic score studies using structural equation modelling. We derive biases, provide illustrative empirical examples and, when possible, mention steps that can be taken to alleviate those biases. Results Structural equation models and derivations show the many complexities arising from jointly modelling polygenic scores with environmental exposures and phenotypes. Counter‐intuitive examples include that: (a) associations between polygenic scores and phenotypes may exist even in the absence of direct genetic effects; (b) associations between child polygenic scores and environmental exposures can exist in the absence of evocative/active gene–environment correlations; and (c) adjusting an exposure‐outcome association for a polygenic score can increase rather than decrease bias. Conclusions Strikingly, using polygenic scores may, in some cases, lead to more bias than not using them. Appropriately conducting and interpreting polygenic score studies thus requires researchers in child psychology and psychiatry and beyond to be versed in both epidemiological and genetic methods or build on interdisciplinary collaborations.

Annual Research Review: The impact of Covid-19 on psychopathology in children and young people worldwide: systematic review of studies with pre- and within-pandemic data.

Abstract: BACKGROUND The high volume and pace of research has posed challenges to researchers, policymakers and practitioners wanting to understand the overall impact of the pandemic on children and young people's mental health. We aimed to search for and review the evidence from epidemiological studies to answer the question: how has mental health changed in the general population of children and young people? METHODS Four databases (Medline, CINAHL, EMBASE and PsychINFO) were searched in October 2021, with searches updated in February 2022. We aimed to identify studies of children or adolescents with a mean age of 18 years or younger at baseline, that reported change on a validated mental health measure from prepandemic to during the pandemic. Abstracts and full texts were double-screened against inclusion criteria and quality assessed using a risk of bias tool. Studies were narratively synthesised, and meta-analyses were performed where studies were sufficiently similar. RESULTS 6917 records were identified, and 51 studies included in the review. Only four studies had a rating of high quality. Studies were highly diverse in terms of design, setting, timing in relation to the pandemic, population, length of follow-up and choice of measure. Methodological heterogeneity limited the potential to conduct meta-analyses across studies. Whilst the evidence suggested a slight deterioration on some measures, overall, the findings were mixed, with no clear pattern emerging. CONCLUSIONS Our findings highlight the need for a more harmonised approach to research in this field. Despite the sometimes-inconsistent results of our included studies, the evidence supports existing concerns about the impact of Covid-19 on children's mental health and on services for this group, given that even small changes can have a significant impact on provision at population level. Children and young people must be prioritised in pandemic recovery, and explicitly considered in planning for any future pandemic response.

Annual Research Review: Translational machine learning for child and adolescent psychiatry

Abstract: Children and adolescents could benefit from the use of predictive tools that facilitate personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been deployed using traditional statistical methods, potentially due to the limitations of the paradigm and the need to leverage large amounts of digital data. This review will suggest that a machine learning approach could address these challenges and is designed to introduce new readers to the background, methods, and results in the field. A rationale is first introduced followed by an outline of fundamental elements of machine learning approaches. To provide an overview of the use of the techniques in child and adolescent literature, a scoping review of broad trends is then presented. Selected studies are also highlighted in order to draw attention to research areas that are closest to translation and studies that exhibit a high degree of experimental innovation. Limitations to the research, and machine learning approaches generally, are outlined in the penultimate section highlighting issues related to sample sizes, validation, clinical utility, and ethical challenges. Finally, future directions are discussed that could enhance the possibility of clinical implementation and address specific questions relevant to the child and adolescent psychiatry. The review gives a broad overview of the machine learning paradigm in order to highlight the benefits of a shift in perspective towards practically oriented statistical solutions that aim to improve clinical care of children and adolescents.

Mother's and children's ADHD genetic risk, household chaos and children's ADHD symptoms: A gene–environment correlation study

Abstract: Background Chaotic home environments may contribute to children's attention‐deficit hyperactivity disorder (ADHD) symptoms. However, ADHD genetic risk may also influence household chaos. This study investigated whether children in chaotic households had more ADHD symptoms, if mothers and children with higher ADHD genetic risk lived in more chaotic households, and the joint association of genetic risk and household chaos on the longitudinal course of ADHD symptoms across childhood. Methods Participants were mothers and children from the Environmental Risk (E‐Risk) Longitudinal Twin Study, a UK population‐representative birth cohort of 2,232 twins. Children's ADHD symptoms were assessed at ages 5, 7, 10 and 12 years. Household chaos was rated by research workers at ages 7, 10 and 12, and by mother's and twin's self‐report at age 12. Genome‐wide ADHD polygenic risk scores (PRS) were calculated for mothers (n = 880) and twins (n = 1,999); of these, n = 871 mothers and n = 1,925 children had information on children's ADHD and household chaos. Results Children in more chaotic households had higher ADHD symptoms. Mothers and children with higher ADHD PRS lived in more chaotic households. Children's ADHD PRS was associated with household chaos over and above mother's PRS, suggesting evocative gene–environment correlation. Children in more chaotic households had higher baseline ADHD symptoms and a slower rate of decline in symptoms. However, sensitivity analyses estimated that gene–environment correlation accounted for a large proportion of the association of household chaos on ADHD symptoms. Conclusions Children's ADHD genetic risk was independently associated with higher levels of household chaos, emphasising the active role of children in shaping their home environment. Our findings suggest that household chaos partly reflects children's genetic risk for ADHD, calling into question whether household chaos directly influences children's core ADHD symptoms. Our findings highlight the importance of considering parent and child genetic risk in relation to apparent environmental exposures.

Early adversities accelerate epigenetic aging into adulthood: a 10-year, within-subject analysis.

Abstract: BACKGROUND Longitudinal studies are needed to clarify whether early adversities are associated with advanced methylation age or if they actually accelerate methylation aging. This study test whether different dimensions of childhood adversity accelerate biological aging from childhood to adulthood, and, if so, via which mechanisms. METHODS 381 participants provided one blood sample in childhood (average age 15.0; SD = 2.3) and another in young adulthood (average age 23.1; SD = 2.8). Participants and their parents provided a median of 6 childhood assessments (total = 1,950 childhood observations), reporting exposures to different types of adversity dimensions (i.e. threat, material deprivation, loss, unpredictability). The blood samples were assayed to estimate DNA methylation age in both childhood and adulthood and also change in methylation age across this period. RESULTS Cross-sectional associations between the childhood adversity dimensions and childhood measures of methylation age were non-significant. In contrast, multiple adversity dimensions were associated with accelerated within-person change in methylation age from adolescence to young adulthood. These associations attenuated in model testing all dimensions at the same time. Accelerated aging increased with increasing number of childhood adversities: Individuals with highest number of adversities experienced 2+ additional years of methylation aging compared to those with no exposure to childhood adversities. The association between total childhood adversity exposure and accelerated aging was partially explained by childhood depressive symptoms, but not anxiety or behavioral symptoms. CONCLUSIONS Early adversities accelerate epigenetic aging long after they occur, in proportion to the total number of such experiences, and in a manner consistent with a shared effect that crosses multiple early dimensions of risk.

Clinical precursors of tics: an EMTICS study.

Abstract: Children with Tourette syndrome (TS) often have comorbid disorders, particularly attention-deficit/hyperactivity disorder (ADHD) and obsessive-compulsive disorder (OCD). While subtle premorbid symptoms have been described in various psychiatric disorders, the presence of clinical precursors that may exist before the onset of tics is unknown. This longitudinal study aimed to find clinical precursors of tics by assessing a range of clinical characteristics prior to tic onset in comparison with children without onset of tics.A sample of 187 3- to 10-year-old first-degree unaffected relatives of children with TS were followed up to 7 years in the European Multicentre Tics in Children Study (EMTICS). We investigated whether clinical characteristics assessed at baseline predicted tic onset, comparing 126 children without tic onset to 61 children who developed tics. We used the least absolute shrinkage and selection operator (LASSO) method, a penalised logistic regression approach. We also explored sex differences and repeated our analyses in an age- and sex-matched subsample.Children with tic onset were more frequently male (β = -0.36), had higher baseline severity of conduct problems (β = 0.23), autism spectrum disorder symptoms (ASD; β = 0.08), compulsions (β = 0.02) and emotional problems (β = 0.03) compared to children without tic onset. Conduct and ASD problems were male-specific predictors, whereas severity of compulsions and oppositional (β = 0.39) and emotional problems were female-specific predictors.This study supports the presence of clinical precursors prior to tic onset and highlights the need of sex-specific monitoring of children at risk of developing tics. This may aid in the earlier detection of tics, particularly in females. We moreover found that tics most often persisted one year after tic onset, in contrast to the common belief that tics are mostly transient.

The longitudinal impact of an evidence-based multiple family group intervention (Amaka Amasanyufu) on oppositional defiant disorder and impaired functioning among children in Uganda: analysis of a cluster randomized trial from the SMART Africa-Uganda scale-up study (2016-2022).

Abstract: BACKGROUND Oppositional Defiant Disorders (ODDs) and other Disruptive Behavior Disorders (DBDs) are common among children and adolescents in poverty-impacted communities in sub-Saharan Africa. Without early intervention, its progression into adulthood can result in dire consequences. We examined the impact of a manualized family strengthening intervention called Amaka Amasanyufu designed to reduce ODDs and other DBDs among school-going children residing in low-resource communities in Uganda. METHODS We used longitudinal data from the SMART Africa-Uganda study (2016-2022). Public primary schools were randomized to: (1) Control condition (receiving usual care comprising generalized psychosocial functioning literature), 10 schools; (2) intervention delivered via parent peers (Amaka-parents), 8 schools or; (3) intervention delivered via community healthcare workers (Amaka-community), 8 schools. All the participants were blinded. At baseline, 8- and 16-weeks postintervention initiation, caregivers completed the Iowa Conners Scale, which measured Oppositional Defiant Disorder (ODD) and Impairment Rating Scale to evaluate children's overall impairment and impaired functioning with peers, siblings, and parents; impaired academic progress, self-esteem, and family functioning. Three-level linear mixed-effects models were fitted to each outcome. Pairwise comparisons of postbaseline group means within each time point were performed using Sidak's adjustment for multiple comparisons. Only children positive for ODD and other DBDs were analyzed. RESULTS Six hundred and thirty-six children screened positive for ODDs and other DBDs (Controls: n = 243; Amaka-parents: n = 194; Amaka-community: n = 199). At 8 weeks, Amaka-parents' children had significantly lower mean scores for overall impairment compared to controls, (mean difference: -0.71, p = .001), while Amaka-community children performed better on ODD (mean difference: -0.84, p = .016). At 16 weeks, children in both groups were performing better on ODD and IRS than controls, and there were no significant differences between the two intervention groups. CONCLUSIONS The Amaka Amasanyufu intervention was efficacious in reducing ODD and impaired functioning relative to usual care. Hence, the Amaka Amasanyufu intervention delivered either by Amaka-community or Amaka-parents has the potential to reduce negative behavioral health outcomes among young people in resource-limited settings and improve family functioning. TRIAL REGISTRATION ClinicalTrials.gov, ID: NCT03081195. Registered on 16 March 2017.

Using machine learning to improve diagnostic assessment of ASD in the light of specific differential and co-occurring diagnoses.

Abstract: BACKGROUND Diagnostic assessment of ASD requires substantial clinical experience and is particularly difficult in the context of other disorders with behavioral symptoms in the domain of social interaction and communication. Observation measures such as the Autism Diagnostic Observation Schedule (ADOS) do not take into account such co-occurring disorders. METHOD We used a well-characterized clinical sample of individuals (n = 1,251) that had received detailed outpatient evaluation for the presence of an ASD diagnosis (n = 481) and covered a range of additional overlapping diagnoses, including anxiety-related disorders (ANX, n = 122), ADHD (n = 439), and conduct disorder (CD, n = 194). We focused on ADOS module 3, covering the age range with particular high prevalence of such differential diagnoses. We used machine learning (ML) and trained random forest models on ADOS single item scores to predict a clinical best-estimate diagnosis of ASD in the context of these differential diagnoses (ASD vs. ANX, ASD vs. ADHD, ASD vs. CD), in the context of co-occurring ADHD, and an unspecific model using all available data. We employed nested cross-validation for an unbiased estimate of classification performance and made available a Webapp to showcase the results and feasibility for translation into clinical practice. RESULTS We obtained very good overall sensitivity (0.89-0.94) and specificity (0.87-0.89). In particular for individuals with less severe symptoms, our models showed increases of up to 35% in sensitivity or specificity. Furthermore, we analyzed item importance profiles of the ANX, ADHD, and CD models in comparison with the unspecific model revealing distinct patterns of importance for specific ADOS items with respect to differential diagnoses. CONCLUSIONS ML-based diagnostic classification may improve clinical decisions by utilizing the full range of information from detailed diagnostic observation instruments such as the ADOS. Importantly, this strategy might be of particular relevance for older children with less severe symptoms for whom the diagnostic decision is often particularly difficult.

Sleep influences daily suicidal ideation through affective reactivity to interpersonal events among high‐risk adolescents and young adults

Abstract: Background Identifying proximal risk factors for suicidal ideation that are modifiable and relevant for adolescents and young adults is critical for suicide prevention. This study used an intensive monitoring approach to examine whether objectively‐ and subjectively‐ measured sleep characteristics predict next‐day suicidal ideation occurrence and intensity through affective reactivity to interpersonal events in young people at high risk for suicide. Methods Participants included 59 (13–23 years; 76% White; 75% female) adolescents and young adults undergoing intensive outpatient program treatment for depression and suicidality. Participants completed daily ratings of suicidal ideation, sleep quality, and affective reactivity to positive and negative interpersonal events for up to 3 months (M = 56 days, SD = 24.13). Actigraphy captured behavioral sleep duration and timing. Multilevel modeling was used to evaluate within‐person fluctuations in sleep and affective reactivity as predictors of suicidal ideation, and multilevel mediation tested the indirect effects of sleep on suicidal ideation via affective reactivity to interpersonal events. Results Results indicate significant indirect effects of objectively measured sleep duration and subjective sleep quality on next‐day suicidal ideation via affective reactivity to negative and positive interpersonal events, respectively. Shorter‐than‐usual sleep predicted the presence and intensity of next‐day suicidal ideation via heightened affective reactivity to negative interpersonal events. Worse sleep quality than usual predicted next‐day suicidal ideation via reduced affective reactivity to positive interpersonal events. Conclusions Affectivity reactivity is a proximal mechanism through which sleep indices may influence risk for suicidal thinking on a daily basis. Findings highlight the utility of targeting sleep and emotion regulation in suicide prevention among adolescents and young adults at high‐risk for suicide.

Research Review: The effect of school‐based suicide prevention on suicidal ideation and suicide attempts and the role of intervention and contextual factors among adolescents: a meta‐analysis and meta‐regression

Abstract: Background Globally, suicide is the fourth highest cause of adolescent mortality (Suicide: https://www.who.int/news‐room/fact‐sheets/detail/suicide). The effects of post‐primary school‐based suicide prevention (PSSP) on adolescent suicidal thoughts and behaviours (STBs) have not been comprehensively synthesised. We aim to estimate the population effect for PSSP interventions on adolescent STBs and explore how intervention effects vary based on intervention and contextual moderators. Methods Searches of PsycINFO, Medline, Education Source, ERIC, Web of Science, and the Cochrane Central Register of Controlled Trials identified cluster randomised trials examining the effectiveness of PSSP on adolescent STBs. The Cochrane Risk of Bias tool assessed bias. Crude and adjusted back‐transformed odds ratios (ORs) were calculated. Multilevel random‐effects models accounted for dependencies of effects. Univariate meta‐regression explored variability of intervention and contextual moderators on pooled effects. Results There were 19 and 12 effects for suicidal ideation (SI) and suicide attempts (SA). Compared with controls, interventions were associated with 13% (OR = 0.87, 95%CI [0.78, 0.96]) and 34% (OR = 0.66, 95%CI [0.47, 0.91]) lower crude odds reductions for SI and SA, respectively. Effects were similar for adjusted SI (OR = 0.85, 95%CI [0.75, 0.95]) and SA (OR = 0.72, 95%CI [0.59, 0.87]) models. Within‐study (0.20–9.10%) and between‐study (0–51.20%) heterogeneity ranged for crude and adjusted SA models and SI heterogeneity was 0%. Moderator analyses did not vary SA effects (ps > .05). Conclusions This meta‐analysis contributes to the PSSP evidence‐base by demonstrating that PSSP targeting STBs as both primary intervention outcomes and with other health and well‐being outcomes reduced SI and SA among 33,155 adolescents attending 329 schools, compared to controls. The number needed to treat estimates suggests the potential of reducing the incidence of SA and SI in one adolescent by implementing PSSP in 1–2 classrooms, supporting PSSP as a clinically relevant suicide prevention strategy. Although moderator analyses were nonsignificant and contained a small number of trials, larger SA effect sizes support particular effectiveness for interventions of a duration of ≤1 week, involving multiple stakeholders and with a 12‐month follow‐up.

Longitudinal trajectories of mental health and loneliness for Australian adolescents with‐or‐without neurodevelopmental disorders: the impact of COVID‐19 school lockdowns

Abstract: 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 investigation in the context of interventions.

Integrative analysis of genomic and exposomic influences on youth mental health

Abstract: Background Understanding complex influences on mental health problems in young people is needed to inform early prevention strategies. Both genetic and environmental factors are known to influence youth mental health, but a more comprehensive picture of their interplay, including wide‐ranging environmental exposures – that is, the exposome – is needed. We perform an integrative analysis of genomic and exposomic data in relation to internalizing and externalizing symptoms in a cohort of 4,314 unrelated youth from the Adolescent Brain and Cognitive Development (ABCD) Study. Methods Using novel GREML‐based approaches, we model the variance in internalizing and externalizing symptoms explained by additive and interactive influences from the genome (G) and modeled exposome (E) consisting of up to 133 variables at the family, peer, school, neighborhood, life event, and broader environmental levels, including genome‐by‐exposome (G × E) and exposome‐by‐exposome (E × E) effects. Results A best‐fitting integrative model with G, E, and G × E components explained 35% and 63% of variance in youth internalizing and externalizing symptoms, respectively. Youth in the top quintile of model‐predicted risk accounted for the majority of individuals with clinically elevated symptoms at follow‐up (60% for internalizing; 72% for externalizing). Of note, different domains of environmental exposures were most impactful for internalizing (life events) and externalizing (contextual including family, school, and peer‐level factors) symptoms. In addition, variance explained by G × E contributions was substantially larger for externalizing (33%) than internalizing (13%) symptoms. Conclusions Advanced statistical genetic methods in a longitudinal cohort of youth can be leveraged to address fundamental questions about the role of ‘nature and nurture’ in developmental psychopathology.

Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial.

Abstract: BACKGROUND Psychostimulants are frequently used to treat attention-deficit/hyperactivity disorder (ADHD), but side effects are common leading to many patients discontinuing treatment. Identifying neural mechanisms by which psychostimulants attenuate symptoms may guide the development of more refined and tolerable therapeutics. METHODS We conducted a 12-week, randomized, placebo-controlled trial (RCT) of a long-acting amphetamine, lisdexamfetamine (LDEX), in patients with ADHD, ages 6-25 years old. Of the 58 participants who participated in the RCT, 49 completed pre- and post-RCT magnetic resonance imaging scanning with adequate data quality. Healthy controls (HCs; n = 46) were included for comparison. Treatment effects on striatal and thalamic functional connectivity (FC) were identified using static (time-averaged) and dynamic (time-varying) measures and then correlated with symptom improvement. Analyses were repeated in independent samples from the Adolescent Brain Cognitive Development study (n = 103) and the ADHD-200 Consortium (n = 213). RESULTS In 49 participants (25 LDEX; 24 Placebo), LDEX increased static and decreased dynamic FC (DFC). However, only DFC was associated with the therapeutic effects of LDEX. Additionally, at baseline, DFC was elevated in unmedicated-ADHD participants relative to HCs. Independent samples yielded similar findings - ADHD was associated with increased DFC, and psychostimulants with reduced DFC. Static FC findings were inconsistent across samples. CONCLUSIONS Changes in dynamic, but not static, FC were associated with the therapeutic effects of psychostimulants. While prior research has focused on static FC, DFC may offer a more reliable target for new ADHD interventions aimed at stabilizing network dynamics, though this needs confirmation with subsequent investigations.

Practitioner Review: Dyadic teacher-child relationships: comparing theories, empirical evidence and implications for practice.

Abstract: BACKGROUND Research on dyadic teacher-child relationships has grown rapidly. However, a review of relevant theories and its implications for assessment and intervention has been lacking so far. METHODS A selective review of theories, empirical evidence and interventions was conducted. RESULTS AND CONCLUSIONS Different theories highlight distinct aspects of teacher-child relationships and have different implications for assessment and intervention. The attachment perspective on dyadic teacher-child relationships is most widely applied in psychological research. Also relatively well-known is self-determination theory. However, the interpersonal theory, though widely applied in educational research to teacher-class interactions, has been largely overlooked in research on dyadic teacher-child relationships. The overarching dyadic systems perspective, providing insight in the dynamic interplay between different aspects of teacher-child relationships, also deserves more attention. Recommendations to improve teacher-child relationships address the need for teacher sensitivity, relationship-based communication and flexibility in interpersonal behaviour in everyday teaching.

Transdiagnostic research and the neurodiversity paradigm: commentary on the transdiagnostic revolution in neurodevelopmental disorders by Astle et al.

Abstract: In their comprehensive and articulate paper on the Transdiagnostic Revolution in Neurodevelopmental Disorders, Astle, Holmes, Kievit and Gathercole (2022) ‘consider how well current classifications of neurodevelopmental disorders serve our understanding’. They examine the lack of mapping between clinical diagnoses such as ADHD or autism and research data at other levels of explanation, including genetics, neural structure and function, and cognition. The authors come to the conclusion that, if our goal is to explain variability and complexity, understand mechanisms and guide support decisions, ‘diagnostic taxonomies that classify individuals in terms of discrete categories are ill‐suited’. In this commentary, I explore alignment between their account of the transdiagnostic revolution and the neurodiversity paradigm and identify how transdiagnostic methods may promote neurodiversity‐affirmative research and practice.

On the importance of parenting in externalizing disorders: an evaluation of indirect genetic effects in families

Abstract: Background Theoretical models of the development of childhood externalizing disorders emphasize the role of parents. Empirical studies have not been able to identify specific aspects of parental behaviors explaining a considerable proportion of the observed individual differences in externalizing problems. The problem is complicated by the contribution of genetic factors to externalizing problems, as parents provide both genes and environments to their children. We studied the joint contributions of direct genetic effects of children and the indirect genetic effects of parents through the environment on externalizing problems. Methods The study used genome‐wide single nucleotide polymorphism data from 9,675 parent–offspring trios participating in the Norwegian Mother Father and child cohort study. Based on genomic relatedness matrices, we estimated the contribution of direct genetic effects and indirect maternal and paternal genetic effects on ADHD, conduct and disruptive behaviors at 8 years of age. Results Models including indirect parental genetic effects were preferred for the ADHD symptoms of inattention and hyperactivity, and conduct problems, but not oppositional defiant behaviors. Direct genetic effects accounted for 11% to 24% of the variance, whereas indirect parental genetic effects accounted for 0% to 16% in ADHD symptoms and conduct problems. The correlation between direct and indirect genetic effects, or gene–environment correlations, decreased the variance with 16% and 13% for conduct and inattention problems, and increased the variance with 6% for hyperactivity problems. Conclusions This study provides empirical support to the notion that parents have a significant role in the development of childhood externalizing behaviors. The parental contribution to decrease in variation of inattention and conduct problems by gene–environment correlations would limit the number of children reaching clinical ranges in symptoms. Not accounting for indirect parental genetic effects can lead to both positive and negative bias when identifying genetic variants for childhood externalizing behaviors.

One session treatment (OST) is equivalent to multi‐session cognitive behavioral therapy (CBT) in children with specific phobias (ASPECT): results from a national non‐inferiority randomized controlled trial

Abstract: Background 5%–10% children and young people (CYP) experience specific phobias that impact daily functioning. Cognitive Behaviour Therapy (CBT) is recommended but has limitations. One Session Treatment (OST), a briefer alternative incorporating CBT principles, has demonstrated efficacy. The Alleviating Specific Phobias Experienced by Children Trial (ASPECT) investigated the non‐inferiority of OST compared to multi‐session CBT for treating specific phobias in CYP. Methods ASPECT was a pragmatic, multi‐center, non‐inferiority randomized controlled trial in 26 CAMHS sites, three voluntary agency services, and one university‐based CYP well‐being service. CYP aged 7–16 years with specific phobia were randomized to receive OST or CBT. Clinical non‐inferiority and a nested cost‐effectiveness evaluation was assessed 6‐months post‐randomization using the Behavioural Avoidance Task (BAT). Secondary outcome measures included the Anxiety Disorder Interview Schedule, Child Anxiety Impact Scale, Revised Children's Anxiety Depression Scale, goal‐based outcome measure, and EQ‐5DY and CHU‐9D, collected blind at baseline and six‐months. Results 268 CYPs were randomized to OST (n = 134) or CBT (n = 134). Mean BAT scores at 6 months were similar across groups in both intention‐to‐treat (ITT) and per‐protocol (PP) populations (CBT: 7.1 (ITT, n = 76), 7.4 (PP, n = 57), OST: 7.4 (ITT, n = 73), 7.6 (PP, n = 56), on the standardized scale‐adjusted mean difference for CBT compared to OST ‐0.123, 95% CI −0.449 to 0.202 (ITT), mean difference −0.204, 95% CI −0.579 to 0.171 (PP)). These findings were wholly below the standardized non‐inferiority limit of 0.4, suggesting that OST is non‐inferior to CBT. No between‐group differences were found on secondary outcomes. OST marginally decreased mean service use costs and maintained similar mean Quality Adjusted Life Years compared to CBT. Conclusions One Session Treatment has similar clinical effectiveness to CBT for specific phobias in CYP and may be a cost‐saving alternative.

Within‐family relations of mental health problems across childhood and adolescence

Abstract: Background While transactional models suggest that parent and child mental health reciprocally influence one another over development, research has largely focused on parent‐to‐child effects. Additionally, it is not known whether observed associations hold when appropriate statistical tools are used to operationalise within‐family dynamics. Methods We investigated within‐family mental health dynamics using autoregressive latent trajectory models with structured residuals, stratified by child gender. Parental psychological distress was assessed using the Kessler (K6) scale, and children’s internalising and externalising problems were assessed using the Strengths and Difficulties Questionnaire. Both measures were administered at the age 3, 5, 7, 11, 14 and 17 waves of the Millennium Cohort Study (N = 10,746, ~50% female). Results Maternal psychological distress was positively associated with subsequent internalising and externalising problems for girls but only with internalising problems for boys. Paternal psychological distress was associated with boys’ later internalising and externalising problems during early adolescence. Among boys, internalising problems were associated with later maternal psychological distress, while externalising problems were associated with later paternal psychological distress. Among girls, internalising problems were associated with subsequent paternal psychological distress, while externalising problems were associated with later maternal psychological distress. Finally, maternal and paternal psychological distress showed negative bidirectional associations in early childhood but positive associations in middle childhood and early adolescence. Conclusions Findings support a transactional model of family mental health, with both child‐to‐parent and parent‐to‐child effects playing a role in the development of mental health difficulties. Mental health intervention efforts should, therefore, target the whole family system.

Alexithymia in individuals maltreated as children and adolescents: a meta-analysis.

Abstract: BACKGROUND Children who are maltreated show deficits in emotion recognition, expression, and understanding. The goal of the current meta-analysis was to determine the degree to which maltreatment is associated with deficits in the ability to recognize one's own emotions - a phenomenon known as alexithymia. Alexithymia may be a mechanism explaining the association between childhood maltreatment and various psychological disorders. METHODS This meta-analytic review (88 studies, n = 43,076) examined the association between the experience of childhood maltreatment and alexithymia, mainly in adulthood. Additional meta-analyses were run to examine if the strength of the association between maltreatment as a child and alexithymia varied as a function of the type of maltreatment individuals reported and other moderators. RESULTS We found significant small effect sizes for all models, indicating higher levels of maltreatment in childhood or adolescence were associated with higher levels of alexithymia. Alexithymia was more strongly associated with forms of neglect than with physical or sexual abuse. The effect sizes also increased as the percentages of females in the sample increased. CONCLUSIONS Results suggest that researchers should examine whether alexithymia is a transdiagnostic mechanism in the association between childhood maltreatment and psychopathology and whether targeting alexithymia in treatment could reduce a wide range of symptoms.

How interactions between <scp>ADHD</scp> and schools affect educational achievement: a family‐based genetically sensitive study

Abstract: Background Children with ADHD tend to achieve less than their peers in school. It is unknown whether schools moderate this association. Nonrandom selection of children into schools related to variations in their ADHD risk poses a methodological problem. Methods We linked data on ADHD symptoms of inattention and hyperactivity and parent–child ADHD polygenic scores (PGS) from the Norwegian Mother, Father, and Child Cohort Study (MoBa) to achievement in standardised tests and school identifiers. We estimated interactions of schools with individual differences between students in inattention, hyperactivity, and ADHD-PGS using multilevel models with random slopes for ADHD effects on achievement over schools. In our PGS analyses, we adjust for parental selection of schools by adjusting for parental ADHD-PGS (a within-family PGS design). We then tested whether five school sociodemographic measures explained any interactions. Results Analysis of up to 23,598 students attending 2,579 schools revealed interactions between school and ADHD effects on achievement. The variability between schools in the effects of inattention, hyperactivity and within-family ADHD-PGS on achievement was 0.08, 0.07 and 0.05 SDs, respectively. For example, the average effect of inattention on achievement was β = −0.23 (SE = 0.009), but in 2.5% of schools with the weakest effects, the value was −0.07 or less. ADHD has a weaker effect on achievement in higher-performing schools. Schools make more of a difference to the achievements of students with higher levels of ADHD, explaining over four times as much variance in achievement for those with high versus average inattention symptoms. School sociodemographic measures could not explain the ADHD-by-school interactions. Conclusions Although ADHD symptoms and genetic risk tend to hinder achievement, schools where their effects are weaker do exist. Differences between schools in support for children with ADHD should be evened out.

Annual Research Review: Towards a deeper understanding of nature and nurture: combining family-based quasi-experimental methods with genomic data.

Abstract: Distinguishing between the effects of nature and nurture constitutes a major research goal for those interested in understanding human development. It is known, for example, that many parent traits predict mental health outcomes in children, but the causal processes underlying such associations are often unclear. Family-based quasi-experimental designs such as sibling comparison, adoption and extended family studies have been used for decades to distinguish the genetic transmission of risk from the environmental effects family members potentially have on one another. Recently, these designs have been combined with genomic data, and this combination is fuelling a range of exciting methodological advances. In this review we explore these advances - highlighting the ways in which they have been applied to date and considering what they are likely to teach us in the coming years about the aetiology and intergenerational transmission of psychopathology.

Maternal mental health mediates the effects of pandemic‐related stressors on adolescent psychopathology during COVID‐19

Abstract: Background This study examined whether COVID‐19‐related maternal mental health changes contributed to changes in adolescent psychopathology. Methods A community sample of 226 adolescents (12 years old before COVID‐19) and their mothers were asked to complete COVID‐19 surveys early in the pandemic (April–May 2020, adolescents 14 years) and approximately 6 months later (November 2020–January 2021). Surveys assessed pandemic‐related stressors (health, financial, social, school, environment) and mental health. Results Lower pre‐pandemic family income‐to‐needs ratio was associated with higher pre‐pandemic maternal mental health symptoms (anxiety, depression) and adolescent internalizing and externalizing problems, and with experiencing more pandemic‐related stressors. Pandemic‐related stressors predicted increases in maternal mental health symptoms, but not adolescent symptoms when other variables were covaried. Higher maternal mental health symptoms predicted concurrent increases in adolescent internalizing and externalizing. Maternal mental health mediated the effects of pre‐pandemic income and pandemic‐related stressors on adolescent internalizing and externalizing problems. Conclusions Results indicate that adolescent mental health is closely tied to maternal mental health during community‐level stressors such as COVID‐19, and that pre‐existing family economic context and adolescent symptoms increase risk for elevations in symptoms of psychopathology.

Annual Research Review: Developmental pathways linking early behavioral inhibition to later anxiety.

Abstract: Behavioral Inhibition is a temperament identified in the first years of life that enhances the risk for development of anxiety during late childhood and adolescence. Amongst children characterized with this temperament, only around 40 percent go on to develop anxiety disorders, meaning that more than half of these children do not. Over the past 20 years, research has documented within-child and socio-contextual factors that support differing developmental pathways. This review provides a historical perspective on the research documenting the origins of this temperament, its biological correlates, and the factors that enhance or mitigate risk for development of anxiety. We review as well, research findings from two longitudinal cohorts that have identified moderators of behavioral inhibition in understanding pathways to anxiety. Research on these moderators has led us to develop the Detection and Dual Control (DDC) framework to understand differing developmental trajectories among behaviorally inhibited children. In this review, we use this framework to explain why and how specific cognitive and socio-contextual factors influence differential pathways to anxiety versus resilience.

Research Review: A guide to computing and implementing polygenic scores in developmental research

Abstract: The increasing availability of genotype data in longitudinal population‐ and family‐based samples provides opportunities for using polygenic scores (PGS) to study developmental questions in child and adolescent psychology and psychiatry. Here, we aim to provide a comprehensive overview of how PGS can be generated and implemented in developmental psycho(patho)logy, with a focus on longitudinal designs. As such, the paper is organized into three parts: First, we provide a formal definition of polygenic scores and related concepts, focusing on assumptions and limitations. Second, we give a general overview of the methods used to compute polygenic scores, ranging from the classic approach to more advanced methods. We include recommendations and reference resources available to researchers aiming to conduct PGS analyses. Finally, we focus on the practical applications of PGS in the analysis of longitudinal data. We describe how PGS have been used to research developmental outcomes, and how they can be applied to longitudinal data to address developmental questions.