Introduction to Adhd Traits
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None of the ADHD traits were related to unpredictable switch costs.
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Here, we first test whether RF is specifically and negatively associated with ASD and ADHD traits, but not CU traits.
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The Teacher Report Form was used to assess ADHD traits at age 7 (n = 2749).
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These more frequent exploration behaviours were associated with differential performance patterns: children with higher levels of ADHD traits performed better in semantic search, while their performance was unaffected in visual search.
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We used data from a UK population-representative sample of adolescent twins (N = 1092 pairs) on lack of dispositional mindfulness [Mindful Attention Awareness Scale (MAAS)], ADHD traits [Conners’ Parent Rating Scale-Revised (CPRS-R): inattentive (INATT) and hyperactivity/impulsivity (HYP/IMP) symptom dimensions] and life satisfaction (Students’ Life Satisfaction Scale).
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Further, although evidence shows that ADHD traits occur in individuals with autism spectrum disorder, and autism spectrum disorder traits in individuals with ADHD, the neurofunctional basis of the overlap is undefined.
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Moreover, the participants with hoarding behavior had a significantly higher percentage of ADHD traits compared to participants without hoarding behavior (HB(+) vs HB(−), 40.
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We hypothesised that early-life exposure to PAE affects the temperaments of children, particularly ADHD traits.
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Quantitative data on ADHD traits using the Strengths and Weaknesses of ADHD and Normal Behavior (SWAN) scale, obsessive-compulsive (OC) traits using the Toronto Obsessive-Compulsive scale (TOCS) and response inhibition using the Stop-Signal task was collected.
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This study aims to ascertain whether the differences of prevalence and severity of attention deficit hyperactivity disorder (ADHD) are true or whether children are perceived and rated differently by parent and teacher informant assessments (INFAs) according to gender, age, and co‐occurring disorders, even at equal levels of latent ADHD traits.
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Language development was addressed among 535 children using the Danish adaptation of the MacArthur‐Bates Communicative Development Inventories at median age 21 months; ADHD traits were assessed by parents of 658 children using the Child Behavior Checklist for ages 1½‐5 years at mean age 2.
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Speakers will address ADHD traits from a dimensional perspective using quantitative measures from national twin registry data, as well as unpublished genome wide molecular genetic data collected from large international multi-center clinical samples at different age groups.
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Polygenic risk scores (PRS) for ADHD have previously been shown to predict ADHD clinical case status and ADHD traits in the general population (Martin, Hamshere, Stergiakouli, O'Donovan, & Thapar, 2014; Stergiakouli et al.
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The participants sought acceptance and a sense of normality, while developing an understanding of both the positive and the negative sides of their ADHD traits.
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All refined RTV components were linked to ADHD traits only and not to ASD traits, while Sigma did not relate to either trait.
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We measured ADHD traits using the Strengths and Weaknesses of ADHD and Normal Behavior (SWAN) scale, obsessive-compulsive traits using the Toronto Obsessive-Compulsive scale (TOCS) and response inhibition, a putative endophenotype for ADHD, using the Stop-Task.
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ADHD traits were measured at ages 3, 6, and 10 years using the Child Behavior Checklist (CBCL) (n = 781) and autistic traits were measured at age 6 years using the Social Responsiveness Scale (SRS) (n = 622).
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