Developmental relations between ADHD symptoms and bullying perpetration and victimisation in adolescence

2020 ◽  
Author(s):  
Aja Louise Murray ◽  
Izabela Zych ◽  
Denis Ribeaud ◽  
Manuel Eisner
Keyword(s):  
Longitudinal Data ◽  
Future Research ◽  
Reciprocal Effects ◽  
Typically Developing ◽  
Adhd Symptoms ◽  
Bullying Perpetration ◽  
Latent Trajectory ◽  
Instrumental Aggression ◽  
Blinded Study ◽  
Trajectory Models

It has previously been hypothesised that individuals with elevated ADHD symptoms are at greater risk of bullying perpetration and victimization; however, a lack of high-quality longitudinal data has meant that this hypothesis is yet to be adequately tested. Using autoregressive latent trajectory models with structured residuals (ALT-SR) and four waves (ages 11, 13, 15 and 17) of longitudinal data from the BLINDED STUDY NAME (n=1526, 52% male), we evaluated the developmental relations between ADHD and bullying using both self- and teacher-reported ADHD symptom data. Analyses suggested that ADHD symptoms primarily increase the risk of bullying perpetration, with a within-person effect of ADHD symptoms on bullying perpetration symptoms identified across ages 13 to 15 (β=.13) and ages 15 to 17 (β=.19) based on self-reported ADHD symptoms; and a similar effect identified across ages 11 to 13 (β=.24) and 13 to 15 (β=.29) based on teacher-reported inattention symptoms. There were also some indications of reciprocal effects and effects involving victimization that merit further exploration in future research. Results imply that the content of bullying intervention and prevention programs should take account of ADHD symptoms in order to ensure that those with elevated ADHD symptoms can benefit from these interventions as much as their typically developing peers. This will involve addressing bullying perpetration that may reflect impulsive/reactive aggression and impaired social skills rather than instrumental aggression. Further, programs should go beyond classical curriculum/classroom-based delivery to ensure that individuals with elevated ADHD symptoms can be successfully engaged.

Sentence Repetition: A Clinical Marker for Developmental Language Disorder in Danish

2019 ◽  
Vol 62 (12) ◽  
pp. 4450-4463
Author(s):  
Rikke Vang Christensen
Keyword(s):  
Language Disorder ◽  
Future Research ◽  
Typically Developing ◽  
Developmental Language Disorder ◽  
Older Children ◽  
Likelihood Ratios ◽  
Clinical Marker ◽  
Sentence Repetition ◽  
Good Identification ◽  
Syntactic Properties

Purpose The aim of the study was to explore the potential of performance on a Danish sentence repetition (SR) task—including specific morphological and syntactic properties—to identify difficulties in children with developmental language disorder (DLD) relative to typically developing (TD) children. Furthermore, the potential of the task as a clinical marker for Danish DLD was explored. Method SR performance of children with DLD aged 5;10–14;1 (years;months; n = 27) and TD children aged 5;3–13;4 ( n = 87) was investigated. Results Compared to TD same-age peers, children with DLD were less likely to repeat the sentences accurately but more likely to make ungrammatical errors with respect to verb inflection and use of determiners and personal pronouns. Younger children with DLD also produced more word order errors that their TD peers. Furthermore, older children with DLD performed less accurately than younger TD peers, indicating that the SR task taps into morphosyntactic areas of particular difficulty for Danish children with DLD. The classification accuracy associated with SR performance showed high levels of sensitivity and specificity (> 90%) and likelihood ratios indicating good identification potential for clinical and future research purposes. Conclusion SR performance has a strong potential for identifying children with DLD, also in Danish, and with a carefully designed SR task, performance has potential for revealing morphosyntactic difficulties. Supplemental Material https://doi.org/10.23641/asha.10314437

Basic numerical processing, calculation, and working memory in children with dyscalculia and/or ADHD symptoms

2016 ◽  
Vol 44 (5) ◽  
pp. 365-375 ◽  
Author(s):  
Jörg-Tobias Kuhn ◽  
Elena Ise ◽  
Julia Raddatz ◽  
Christin Schwenk ◽  
Christian Dobel
Keyword(s):  
Working Memory ◽  
Processing Speed ◽  
Verbal Working Memory ◽  
Typically Developing ◽  
Cognitive Profiles ◽  
Adhd Symptoms ◽  
Memory Processing ◽  
Numerical Processing ◽  
Hyperactivity Disorder ◽  
Neurocognitive Measures

Abstract. Objective: Deficits in basic numerical skills, calculation, and working memory have been found in children with developmental dyscalculia (DD) as well as children with attention-deficit/hyperactivity disorder (ADHD). This paper investigates cognitive profiles of children with DD and/or ADHD symptoms (AS) in a double dissociation design to obtain a better understanding of the comorbidity of DD and ADHD. Method: Children with DD-only (N = 33), AS-only (N = 16), comorbid DD+AS (N = 20), and typically developing controls (TD, N = 40) were assessed on measures of basic numerical processing, calculation, working memory, processing speed, and neurocognitive measures of attention. Results: Children with DD (DD, DD+AS) showed deficits in all basic numerical skills, calculation, working memory, and sustained attention. Children with AS (AS, DD+AS) displayed more selective difficulties in dot enumeration, subtraction, verbal working memory, and processing speed. Also, they generally performed more poorly in neurocognitive measures of attention, especially alertness. Children with DD+AS mostly showed an additive combination of the deficits associated with DD-only and A_Sonly, except for subtraction tasks, in which they were less impaired than expected. Conclusions: DD and AS appear to be related to largely distinct patterns of cognitive deficits, which are present in combination in children with DD+AS.


The Attenuation of Very Low Frequency Brain Oscillations in Transitions from a Rest State to Active Attention

2009 ◽  
Vol 23 (4) ◽  
pp. 191-198 ◽  
Author(s):  
Suzannah K. Helps ◽  
Samantha J. Broyd ◽  
Christopher J. James ◽  
Anke Karl ◽  
Edmund J. S. Sonuga-Barke
Keyword(s):  
Brain Activity ◽  
Sampling Rate ◽  
Low Frequency ◽  
Future Research ◽  
Adhd Symptoms ◽  
Default Mode ◽  
Very Low Frequency ◽  
Wide Range ◽  
Interference Hypothesis ◽  
Mode Interference

Background: The default mode interference hypothesis ( Sonuga-Barke & Castellanos, 2007 ) predicts (1) the attenuation of very low frequency oscillations (VLFO; e.g., .05 Hz) in brain activity within the default mode network during the transition from rest to task, and (2) that failures to attenuate in this way will lead to an increased likelihood of periodic attention lapses that are synchronized to the VLFO pattern. Here, we tested these predictions using DC-EEG recordings within and outside of a previously identified network of electrode locations hypothesized to reflect DMN activity (i.e., S3 network; Helps et al., 2008 ). Method: 24 young adults (mean age 22.3 years; 8 male), sampled to include a wide range of ADHD symptoms, took part in a study of rest to task transitions. Two conditions were compared: 5 min of rest (eyes open) and a 10-min simple 2-choice RT task with a relatively high sampling rate (ISI 1 s). DC-EEG was recorded during both conditions, and the low-frequency spectrum was decomposed and measures of the power within specific bands extracted. Results: Shift from rest to task led to an attenuation of VLFO activity within the S3 network which was inversely associated with ADHD symptoms. RT during task also showed a VLFO signature. During task there was a small but significant degree of synchronization between EEG and RT in the VLFO band. Attenuators showed a lower degree of synchrony than nonattenuators. Discussion: The results provide some initial EEG-based support for the default mode interference hypothesis and suggest that failure to attenuate VLFO in the S3 network is associated with higher synchrony between low-frequency brain activity and RT fluctuations during a simple RT task. Although significant, the effects were small and future research should employ tasks with a higher sampling rate to increase the possibility of extracting robust and stable signals.

The Influence of Background Auditory Noise on P50 and N100 Suppression Elicited by the Paired-Click Paradigm

2020 ◽  
Vol 34 (3) ◽  
pp. 171-178
Author(s):  
Samantha Major ◽  
Kimberly Carpenter ◽  
Logan Beyer ◽  
Hannah Kwak ◽  
Geraldine Dawson ◽  
...  
Keyword(s):  
Sensory Gating ◽  
Autism Spectrum ◽  
Inhibitory Response ◽  
Future Research ◽  
Typically Developing ◽  
Optimal Outcomes ◽  
Hyperactivity Disorder ◽  
Auditory Sensory Gating ◽  
Auditory Noise ◽  
P50 Suppression

Abstract. Auditory sensory gating is commonly assessed using the Paired-Click Paradigm (PCP), an electroencephalography (EEG) task in which two identical sounds are presented sequentially and the brain’s inhibitory response to the second sound is measured. Many clinical populations demonstrate reduced P50 and/or N100 suppression. Testing sensory gating in children may help to identify individuals at risk for neurodevelopmental disorders earlier, including autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), which could lead to more optimal outcomes. Minimal research has been done with children because of the difficulty of performing lengthy EEG experiments with young children, requiring them to sit still for long periods of time. We designed a modified, potentially child-friendly version of the PCP and evaluated it in typically developing adults. The PCP was administered twice, once in a traditional silent room (silent movie condition) and once with an audible movie playing (audible movie condition) to minimize boredom and enhance behavioral compliance. We tested whether P50 and N100 suppression were influenced by the presence of the auditory background noise from the movie. N100 suppression was observed in both hemispheres in the silent movie condition and in the left hemisphere only during the audible movie condition, though suppression was attenuated in the audible movie condition. P50 suppression was not observed in either condition. N100 sensory gating was successfully elicited with an audible movie playing during the PCP, supporting the use of the modified task for future research in both children and adults.

Neurocognitive Bases of Crossmodal Integration Deficit in Dyslexia

2019 ◽  
Author(s):  
Margaret Gullick ◽  
James R. Booth
Keyword(s):  
Reading Interventions ◽  
Training Programs ◽  
Reading Difficulties ◽  
Visual Representations ◽  
Future Research ◽  
Typically Developing ◽  
Critical Component ◽  
Crossmodal Integration ◽  
Phonological Deficits ◽  
And Training

Crossmodal integration is a critical component of successful reading, and yet it has been less studied than reading’s unimodal subskills. Proficiency with the sounds of a language (i.e., the phonemes) and with the visual representations of these sounds (graphemes) are both important and necessary precursors for reading, but the formation of a stable integrated representation that combines and links these aspects, and subsequent fluent and automatic access to this crossmodal representation, is unique to reading and is required for its success. Indeed, individuals with specific difficulties in reading, as in dyslexia, demonstrate impairments not only in phonology and orthography but also in integration. Impairments in only crossmodal integration could result in disordered reading via disrupted formation of or access to phoneme–grapheme associations. Alternately, the phonological deficits noted in many individuals with dyslexia may lead to reading difficulties via issues with integration: children who cannot consistently identify and manipulate the sounds of their language will also have trouble matching these sounds to their visual representations, resulting in the manifested deficiencies. We here discuss the importance of crossmodal integration in reading, both generally and as a potential specific causal deficit in the case of dyslexia. We examine the behavioral, functional, and structural neural evidence for a crossmodal, as compared to unimodal, processing issue in individuals with dyslexia in comparison to typically developing controls. We then present an initial review of work using crossmodal- versus unimodal-based reading interventions and training programs aimed at the amelioration of reading difficulties. Finally, we present some remaining questions reflecting potential areas for future research into this topic.

A Systematic Review of Sleep and Circadian Rhythms in Children with Attention Deficit Hyperactivity Disorder

2021 ◽  
pp. 108705472097855
Author(s):  
Upasana Bondopadhyay ◽  
Unai Diaz-Orueta ◽  
Andrew N. Coogan
Keyword(s):  
Systematic Review ◽  
Circadian Rhythms ◽  
Sleep Disturbances ◽  
Behavioral Outcomes ◽  
Future Research ◽  
Narrative Synthesis ◽  
Adhd Symptoms ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
Form Part

Objective: Children and adults with ADHD often report sleep disturbances that may form part of the etiology and/or symptomatology of ADHD. We review the evidence for sleep changes in children with ADHD. Methods: Systematic review with narrative synthesis assessing sleep and circadian function in children aged 5 to 13 years old with a diagnosis of ADHD. Results: 148 studies were included for review, incorporating data from 42,353 children. We found that sleep disturbances in ADHD are common and that they may worsen behavioral outcomes; moreover, sleep interventions may improve ADHD symptoms, and pharmacotherapy for ADHD may impact sleep. Conclusion: Sleep disturbance may represent a clinically important feature of ADHD in children, which might be therapeutically targeted in a useful way. There are a number of important gaps in the literature. We set out a manifesto for future research in the area of sleep, circadian rhythms, and ADHD.

Methodological Approaches to Modeling Criminal Trajectories

2019 ◽  
pp. 60-100
Author(s):  
David M. Day ◽  
Margit Wiesner
Keyword(s):  
Longitudinal Data ◽  
Growth Curve ◽  
Growth Mixture Modeling ◽  
Statistical Technique ◽  
Heterogeneous Population ◽  
Growth Curve Modeling ◽  
Latent Growth ◽  
Growth Mixture ◽  
Curve Modeling ◽  
Trajectory Models

Criminal offenders compose a heterogeneous population. Criminal trajectory research aims to capture this heterogeneity in terms of the frequency or severity of offending. This chapter describes the concept a criminal trajectory and the statistical technique used to derive trajectories from longitudinal data. Both the semiparametric group-based trajectory modeling (SGBTM) and latent growth mixture modeling (GMM) approaches are described in nontechnical terms, and the differences between them are noted. Despite some similarities, these approaches are also distinguished from conventional growth curve modeling. Guidelines and factors to consider in building and testing trajectory models are discussed. Last, extensions of SGBTM and GMM are presented.

Achieving the Sustainable Development Goals: Evidence from the Longitudinal Parenting Across Cultures Project

2021 ◽  
pp. 89-112
Author(s):  
Jennifer E. Lansford ◽  
W. Andrew Rothenberg ◽  
Sombat Tapanya ◽  
Liliana Maria Uribe Tirado ◽  
Saengduean Yotanyamaneewong ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Longitudinal Data ◽  
Sustainable Development Goals ◽  
Well Being ◽  
Future Research ◽  
Cross Sectional ◽  
The Sustainable Development ◽  
Development Goals ◽  
Future Research Directions ◽  
Health And Well Being

This chapter uses evidence from the Parenting Across Cultures (PAC) project to illustrate ways in which longitudinal data can help achieve the Sustainable Development Goals (SDGs.) The chapter begins by providing an overview of the research questions that have guided the international PAC as well as a description of the participants, procedures, and measures. Next, empirical findings from PAC are summarized to illustrate implications for six specific SDGs related to child and adolescent development in relation to education, poverty, gender, mental health, and well-being. Then the chapter describes how longitudinal data offer advantages over cross-sectional data in operationalizing SDG targets and implementing the SDGs. Finally, limitations, future research directions, and conclusions are provided.

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