Literature DB >> 32399809

Is an irritable ADHD profile traceable using personality dimensions? Replicability, stability, and predictive value over time of data-driven profiles.

Tessa F Blanken1, Ophélie Courbet2, Nathalie Franc3, Ariadna Albajara Sáenz4, Eus J W Van Someren5, Philippe Peigneux4, Thomas Villemonteix2.   

Abstract

Pediatric attention deficit/hyperactivity disorder (ADHD) is a heterogeneous condition. In particular, children with ADHD display varying profiles of dispositional traits, as assessed through temperament and personality questionnaires. Previous data-driven community detection analyses based on temperament dimensions identified an irritable profile of patients with ADHD, uniquely characterized by elevated emotional dysregulation symptoms. Belonging to this profile increased the risk of developing comorbid disorders. Here, we investigated whether we could replicate this profile in a sample of 178 children with ADHD, using community detection based on personality dimensions. Stability of the identified profiles, of individual classifications, and clinical prediction were longitudinally assessed over a 1-year interval. Three personality profiles were detected: The first two profiles had high levels of neuroticism, with the first displaying higher ADHD severity and lower openness to experience (profile 1; N = 38), and the second lower agreeableness (profile 2; N = 73). The third profile displayed scores closer to the normative range on all five factors (profile 3; N = 67). The identified profiles did only partially replicate the temperament-based profiles previously reported, as higher levels of neuroticism were found in two of the three detected profiles. Nonetheless, despite changes in individual classifications, the profiles themselves were highly stable over time and of clinical predictive value. Whereas children belonging to profiles 1 and 2 benefited from starting medication, children in profile 3 did not. Hence, belonging to an emotionally dysregulated profile at baseline predicted the effect of medication at follow-up over and above initial ADHD symptom severity. This finding suggests that personality profiles could play a role in predicting treatment response in ADHD.

Entities:  

Keywords:  ADHD; Community detection; Dispositional traits; Heterogeneity; Irritability; Personality traits

Year:  2020        PMID: 32399809     DOI: 10.1007/s00787-020-01546-z

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


  38 in total

1.  Child impact on family functioning: a multivariate analysis in multiplex families with children and mothers both affected by attention-deficit/hyperactivity disorder (ADHD).

Authors:  Katja Fleck; Christian Jacob; Alexandra Philipsen; Swantje Matthies; Erika Graf; Klaus Hennighausen; Barbara Haack-Dees; Peter Weyers; Andreas Warnke; Michael Rösler; Wolfgang Retz; Alexander von Gontard; Susan Hänig; Christine Freitag; Esther Sobanski; Martina Schumacher-Stien; Luise Poustka; Lucia Bliznak; Katja Becker; Martin Holtmann; Michael Colla; Laura Gentschow; Viola Kappel; Charlotte Jaite; Thomas Jans
Journal:  Atten Defic Hyperact Disord       Date:  2015-01-15

2.  Comorbidity prevalence and treatment outcome in children and adolescents with ADHD.

Authors:  Laura Reale; Beatrice Bartoli; Massimo Cartabia; Michele Zanetti; Maria Antonella Costantino; Maria Paola Canevini; Cristiano Termine; Maurizio Bonati
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-05-19       Impact factor: 4.785

3.  Polygenic dissection of major depression clinical heterogeneity.

Authors:  Y Milaneschi; F Lamers; W J Peyrot; A Abdellaoui; G Willemsen; J-J Hottenga; R Jansen; H Mbarek; A Dehghan; C Lu; D I Boomsma; B W J H Penninx
Journal:  Mol Psychiatry       Date:  2015-06-30       Impact factor: 15.992

Review 4.  Characteristics and heterogeneity of schizoaffective disorder compared with unipolar depression and schizophrenia - a systematic literature review and meta-analysis.

Authors:  Lena Rink; Tobias Pagel; Jeremy Franklin; Christopher Baethge
Journal:  J Affect Disord       Date:  2015-11-10       Impact factor: 4.839

Review 5.  Insomnia heterogeneity: Characteristics to consider for data-driven multivariate subtyping.

Authors:  Jeroen S Benjamins; Filippo Migliorati; Kim Dekker; Rick Wassing; Sarah Moens; Tessa F Blanken; Bart H W Te Lindert; Jeffrey Sjauw Mook; Eus J W Van Someren
Journal:  Sleep Med Rev       Date:  2016-11-09       Impact factor: 11.609

6.  Subtyping attention-deficit/hyperactivity disorder using temperament dimensions: toward biologically based nosologic criteria.

Authors:  Sarah L Karalunas; Damien Fair; Erica D Musser; Kamari Aykes; Swathi P Iyer; Joel T Nigg
Journal:  JAMA Psychiatry       Date:  2014-09       Impact factor: 21.596

7.  Long-Term Outcomes of ADHD: Academic Achievement and Performance.

Authors:  L Eugene Arnold; Paul Hodgkins; Jennifer Kahle; Manisha Madhoo; Geoff Kewley
Journal:  J Atten Disord       Date:  2015-01-12       Impact factor: 3.256

Review 8.  An Overview of Autism Spectrum Disorder, Heterogeneity and Treatment Options.

Authors:  Anne Masi; Marilena M DeMayo; Nicholas Glozier; Adam J Guastella
Journal:  Neurosci Bull       Date:  2017-02-17       Impact factor: 5.203

Review 9.  A Review of Heterogeneity in Attention Deficit/Hyperactivity Disorder (ADHD).

Authors:  Yuyang Luo; Dana Weibman; Jeffrey M Halperin; Xiaobo Li
Journal:  Front Hum Neurosci       Date:  2019-02-11       Impact factor: 3.169

Review 10.  Big data approaches to decomposing heterogeneity across the autism spectrum.

Authors:  Michael V Lombardo; Meng-Chuan Lai; Simon Baron-Cohen
Journal:  Mol Psychiatry       Date:  2019-01-07       Impact factor: 15.992

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  1 in total

1.  Subgroups in Late Adulthood Are Associated With Cognition and Wellbeing Later in Life.

Authors:  Tulsi A Radhoe; Joost A Agelink van Rentergem; Almar A L Kok; Martijn Huisman; Hilde M Geurts
Journal:  Front Psychol       Date:  2021-12-01
  1 in total

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