Sex differences in anxiety and depression in children with attention deficit hyperactivity disorder: Investigating genetic liability and comorbidity

Important Mechanisms in the Development of Anxiety in Children with ADHD: The Role of Associated Features of ADHD and Interpersonal Functioning

Over a quarter of children with Attention-deficit/hyperactivity disorder (ADHD) meet diagnostic criteria for an anxiety disorder as well. The goals of this paper are (a) to examine what is currently known about co-occurring ADHD and anxiety in children, (b) propose and outline underlying factors relevant to the development of anxiety in children with ADHD, and (c) discuss future directions and clinical implications for the prevention and identification of anxiety development in children with ADHD. It is proposed that certain associated features of ADHD (i.e., low effortful control and emotion dysregulation) as well as various interpersonal factors related to ADHD (i.e., poor parent, teacher, and peer relationships) form a negative feedback loop that increases susceptibility to anxiety in a subset of children with ADHD. The literature supports interrelations between and across the associated features and interpersonal factors. Additional research is needed to test the validity of the proposed process. Obtaining further insight into the interplay between these different factors can help identify a subset of children with ADHD who are at risk for developing anxiety, which can enhance the precision of prevention, assessment, and treatment efforts for these children.

Characteristics of the Symptoms of the Proposed ND-PAE Disorder in First Grade Children in a Community Sample

The proposed symptoms for Neurobehavioral Disorder Associated with Prenatal Alcohol Exposure (ND-PAE) were evaluated in children who participated in the Collaboration on Fetal Alcohol Spectrum Disorders Prevalence study. Children "at-risk" for ND-PAE (n = 204) were contrasted to children with no prenatal alcohol exposure, alcohol-related dysmorphia or growth deficits (n = 908). Symptoms were defined based on neuropsychological testing using two diagnostic threshold levels (1.0 and 1.5 STD). Individuals at risk for ND-PAE had higher endorsement rates of the self-regulation and adaptive impairments at the 1.0 threshold and of the neurocognitive and self-regulation impairments at the 1.5 threshold. Endorsement of the disorder significantly differed at the 1.0 threshold. Receiver operating characteristic curve analysis indicated that having an IQ below 70 was not predictive of the diagnosis but modifications of the IQ criterion improved predictive validity. Discrimination validity was poor without documentation of PAE which continues to be a necessity for a diagnosis of ND-PAE.

Sex and gender in neurodevelopmental conditions

Health-related conditions often differ qualitatively or quantitatively between individuals of different birth-assigned sexes and gender identities, and/or with different gendered experiences, requiring tailored care. Studying the moderating and mediating effects of sex-related and gender-related factors on impairment, disability, wellbeing and health is of paramount importance especially for neurodivergent individuals, who are diagnosed with neurodevelopmental conditions with uneven sex/gender distributions. Researchers have become aware of the myriad influences that sex-related and gender-related variables have on the manifestations of neurodevelopmental conditions, and contemporary work has begun to investigate the mechanisms through which these effects are mediated. Here we describe topical concepts of sex and gender science, summarize current knowledge, and discuss research and clinical challenges related to autism, attention-deficit/hyperactivity disorder and other neurodevelopmental conditions. We consider sex and gender in the context of epidemiology, behavioural phenotypes, neurobiology, genetics, endocrinology and neighbouring disciplines. The available evidence supports the view that sex and gender are important contributors to the biological and behavioural variability in neurodevelopmental conditions. Methodological caveats such as frequent conflation of sex and gender constructs, inappropriate measurement of these constructs and under-representation of specific demographic groups (for example, female and gender minority individuals and people with intellectual disabilities) limit the translational potential of research so far. Future research and clinical implementation should integrate sex and gender into next-generation diagnostics, mechanistic investigations and support practices.

Genetics of Attention-Deficit Hyperactivity Disorder

Attention-Deficit Hyperactivity Disorder (ADHD) has long been recognized as being a highly heritable condition and our understanding of the genetic contributions to ADHD has grown over the past few decades. This chapter will discuss the studies that have examined its heritability and the efforts to identify specific genetic risk-variants at the molecular genetic level. We outline the various techniques that have been used to characterize genetic contributions to ADHD, describing what we have learnt so far, what there is still to learn and the methodologies that can be used to further our knowledge. In doing so we will discuss research into rare and common genetic variants, polygenic risk scores, and gene-environment interplay, while also describing what genetic studies have revealed about the biological processes involved in ADHD and what they have taught us about the overlap between ADHD and other psychiatric and somatic disorders. Finally, we will discuss the strengths and limitations of the current methodologies and clinical implications of genetic research to date.

A Robust Movement Quantification Algorithm of Hyperactivity Detection for ADHD Children Based on 3D Depth Images

Attention deficit hyperactivity disorder (ADHD) is one of the most common childhood mental disorders. Hyperactivity is a typical symptom of ADHD in children. Clinicians diagnose this symptom by evaluating the children's activities based on subjective rating scales and clinical experience. In this work, an objective system is proposed to quantify the movements of children with ADHD automatically. This system presents a new movement detection and quantification method based on depth images. A novel salient object extraction method is proposed to segment body regions. In movement detection, we explore a new local search algorithm to detect any potential motions of children based on three newly designed evaluation metrics. In the movement quantification, two parameters are investigated to quantify the participation degree and the displacements of each body part in the movements. This system is tested by a depth dataset of children with ADHD. The movement detection results of this dataset mainly range from 91.0% to 95.0%. The movement quantification results of children are consistent with the clinical observations. The public MSR Action 3D dataset is tested to validate the performance of this system.