Literature DB >> 31980930

Characteristics of child psychiatric outpatients with slow processing speed and potential mechanisms of academic impact.

Ellen B Braaten1,2, Amanda K Ward1,2, Gina Forchelli1,2, Pieter J Vuijk3, Nathan E Cook1,2, Patrick McGuinness1, B Andi Lee3, Anna Samkavitz3, Hannah Lind3, Sheila M O'Keefe1,2, Alysa E Doyle4,5,6.   

Abstract

While slow processing speed (PS) is well documented in youth with ADHD, growing evidence suggests that this difficulty affects children with other neuropsychiatric conditions. Clarifying the relationship between slow PS and different forms of psychopathology is important clinically, given the potential impact of PS on academic functioning, and conceptually. In 751 youth, ages 6-21, consecutively referred for neuropsychiatric evaluation, we examined the association between slow PS (i.e., Wechsler PS Index < 85) and seven neuropsychiatric diagnostic groups. In 492 of these youth, we also related slow PS to eight psychopathology symptom dimensions. Finally, we modeled the relationship between PS, other cognitive functions and academic achievement. Data are from the Longitudinal Study of Genetic Influences on Cognition. Analyses included one-sample t tests, ANOVA, logistic regression, mixed modeling, and structural equation modeling (SEM), controlling for age, sex, and medication. Compared to normative data, all clinical groups showed PS decrements. Compared to referred youth without full diagnoses and accounting for other psychopathology, risk for slow PS was elevated in youth with autism spectrum disorder (OR = 1.8), psychotic disorders (OR = 3.4) and ADHD-inattentive type (OR = 1.6). Having multiple comorbidities also increased risk for slow PS. Among dimensions, inattention (OR = 1.5) associated with slow PS but did not fully explain the association with autism or psychosis. In SEM, PS had direct effects on academic achievement and indirect effects through working memory. Findings extend evidence that PS relates to multiple aspects of child psychopathology and associates with academic achievement in child psychiatric outpatients.

Entities:  

Keywords:  Academic achievement; Child psychiatry; Cross-disorder; Outpatients; Processing speed; Working memory

Mesh:

Year:  2020        PMID: 31980930      PMCID: PMC8168921          DOI: 10.1007/s00787-019-01455-w

Source DB:  PubMed          Journal:  Eur Child Adolesc Psychiatry        ISSN: 1018-8827            Impact factor:   4.785


  32 in total

Review 1.  Relationships among processing speed, working memory, and fluid intelligence in children.

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Journal:  Biol Psychol       Date:  2000-10       Impact factor: 3.251

2.  Modeling a cascade of effects: the role of speed and executive functioning in preterm/full-term differences in academic achievement.

Authors:  Susan A Rose; Judith F Feldman; Jeffery J Jankowski
Journal:  Dev Sci       Date:  2011-07-13

3.  Neurocognitive performance of a community-based sample of young people at putative ultra high risk for psychosis: support for the processing speed hypothesis.

Authors:  Ian Kelleher; Aileen Murtagh; Mary C Clarke; Jennifer Murphy; Caroline Rawdon; Mary Cannon
Journal:  Cogn Neuropsychiatry       Date:  2012-09-20       Impact factor: 1.871

4.  Cognitive predictors of achievement growth in mathematics: a 5-year longitudinal study.

Authors:  David C Geary
Journal:  Dev Psychol       Date:  2011-09-26

5.  [Formula: see text]Executive functioning and its relation to ASD and ADHD symptomatology in 22q11.2 deletion syndrome.

Authors:  Leo M J de Sonneville; Elske Hidding; Herman van Engeland; Jacob A S Vorstman; Monique E J Sijmens-Morcus; Hanna Swaab
Journal:  Child Neuropsychol       Date:  2016-09-09       Impact factor: 2.500

Review 6.  Psychotic disorders comorbid with attention-deficit hyperactivity disorder: an important knowledge gap.

Authors:  Emmanuelle Levy; Alexandru Traicu; Srividya Iyer; Ashok Malla; Ridha Joober
Journal:  Can J Psychiatry       Date:  2015-03       Impact factor: 4.356

7.  Cognitive, adaptive, and psychosocial differences between high ability youth with and without autism spectrum disorder.

Authors:  Alissa F Doobay; Megan Foley-Nicpon; Saba R Ali; Susan G Assouline
Journal:  J Autism Dev Disord       Date:  2014-08

8.  Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.

Authors: 
Journal:  Lancet       Date:  2013-02-28       Impact factor: 79.321

9.  A Pilot Study Examining Speed of Processing Training (SPT) to Improve Processing Speed in Persons With Multiple Sclerosis.

Authors:  Nancy D Chiaravalloti; Yael Goverover; Silvana L Costa; John DeLuca
Journal:  Front Neurol       Date:  2018-08-27       Impact factor: 4.003

10.  Rare structural variants found in attention-deficit hyperactivity disorder are preferentially associated with neurodevelopmental genes.

Authors:  J Elia; X Gai; H M Xie; J C Perin; E Geiger; J T Glessner; M D'arcy; R deBerardinis; E Frackelton; C Kim; F Lantieri; B M Muganga; L Wang; T Takeda; E F Rappaport; S F A Grant; W Berrettini; M Devoto; T H Shaikh; H Hakonarson; P S White
Journal:  Mol Psychiatry       Date:  2009-06-23       Impact factor: 15.992

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  5 in total

1.  What is a processing speed weakness? Importance of cognitive ability when defining processing speed in a child psychiatric population.

Authors:  G A Forchelli; P J Vuijk; M K Colvin; A K Ward; M R Koven; A Dews; A E Doyle; E B Braaten
Journal:  Child Neuropsychol       Date:  2021-09-20       Impact factor: 2.597

2.  Neurocognitive functioning of children with mild to borderline intellectual disabilities and psychiatric disorders: profile characteristics and predictors of behavioural problems.

Authors:  E Santegoeds; E van der Schoot; S Roording-Ragetlie; H Klip; N Rommelse
Journal:  J Intellect Disabil Res       Date:  2021-08-11

3.  Frontoparietal Network Connectivity During an N-Back Task in Adults With Autism Spectrum Disorder.

Authors:  Veronica Yuk; Charline Urbain; Evdokia Anagnostou; Margot J Taylor
Journal:  Front Psychiatry       Date:  2020-09-09       Impact factor: 4.157

4.  Distinct patterns of emotional and behavioral change in child psychiatry outpatients during the COVID-19 pandemic.

Authors:  Alysa E Doyle; Mary K Colvin; Clara S Beery; Maya R Koven; Pieter J Vuijk; Ellen B Braaten
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2022-02-17       Impact factor: 3.033

5.  The Influence of Socioeconomic Status (SES) and Processing Speed on the Psychological Adjustment and Wellbeing of Pediatric Brain Tumor Survivors.

Authors:  Maria Chiara Oprandi; Viola Oldrati; Claudia Cavatorta; Lorenza Gandola; Maura Massimino; Alessandra Bardoni; Geraldina Poggi
Journal:  Cancers (Basel)       Date:  2022-06-23       Impact factor: 6.575

  5 in total

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