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Arildskov TW, Thomsen PH, Sonuga-Barke EJS, Lambek R, Østergaard SD, Virring A. Is Attention-Deficit/Hyperactivity Disorder (ADHD) a Dimension or a Category? What Does the Relationship Between ADHD Traits and Psychosocial Quality of Life Tell Us? J Atten Disord 2024; 28:1035-1044. [PMID: 38281108 DOI: 10.1177/10870547231222228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2024]
Abstract
OBJECTIVE The question of whether attention-deficit/hyperactivity disorder (ADHD) is a discrete category or a continuous dimension remains clinically relevant. We report the first examination of this question from the viewpoint of the relationship between ADHD traits and psychosocial quality of life (QoL), and whether the level of QoL declines markedly around a certain high ADHD trait range suggestive of a categorical boundary. METHODS Parents/caregivers of 1,967 schoolchildren aged 6 to 11 from the general population completed the Pediatric Quality of Life Inventory and the ADHD-Rating Scale IV. Piecewise linear and non-linear regression analyses were performed. RESULTS No evidence for a non-linear association or an abrupt change in the rate of decrease in QoL was observed in the high end of the ADHD traits continuum. Instead, the relationship was consistent with linearity. CONCLUSION Psychosocial QoL gradually declines in a linear manner as ADHD trait levels increase providing further support for a dimensional model.
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Affiliation(s)
- Trine Wigh Arildskov
- Department of Child and Adolescent Psychiatry, Aarhus University Hospital, Psychiatry, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Denmark
| | - Per Hove Thomsen
- Department of Child and Adolescent Psychiatry, Aarhus University Hospital, Psychiatry, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Denmark
| | - Edmund J S Sonuga-Barke
- Department of Clinical Medicine, Aarhus University, Denmark
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Rikke Lambek
- Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
| | - Søren D Østergaard
- Department of Clinical Medicine, Aarhus University, Denmark
- Department of Affective Disorders, Aarhus University Hospital, Psychiatry, Aarhus N, Denmark
| | - Anne Virring
- Department of Child and Adolescent Psychiatry, Aarhus University Hospital, Psychiatry, Aarhus N, Denmark
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Arildskov TW, Virring A, Thomsen PH, Lambek R. Validation of the Weiss Functional Impairment Rating Scale (WFIRS-P) as a Functional Impairment Measure in a General Population of Schoolchildren. Assessment 2023; 30:2533-2544. [PMID: 36799215 DOI: 10.1177/10731911231154501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
Functional impairment rating scales are few in numbers and have mainly been examined in clinical populations. The Weiss Functional Impairment Rating Scale-Parent report (WFIRS-P) is a case in point. We tested the psychometric properties of the WFIRS-P in the largest general population study to date and for the first time examined the factor structure of the scale in a general population setting. Participants were 2,027 schoolchildren aged 6 to 11. Parents/caregivers completed the WFIRS-P and criterion measures of quality of life, attention-deficit/hyperactivity disorder, and behavioral/emotional symptoms. Confirmatory factor analysis and convergent/divergent validity analyses supported a six-factor structure: family, life skills, self-concept, social activities, and the separation of the school domain into two smaller domains covering school learning and school behavior. Children with and without a history of referral differed significantly on all six domains supporting the external validity. In conclusion, the WFIRS-P was found to generate valid scores in a general population sample.
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Affiliation(s)
| | | | - Per Hove Thomsen
- Aarhus University Hospital, Aarhus, Denmark
- Aarhus University, Aarhus, Denmark
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Gomez R, Chen W, Houghton S. Differences between DSM-5-TR and ICD-11 revisions of attention deficit/hyperactivity disorder: A commentary on implications and opportunities. World J Psychiatry 2023; 13:138-143. [PMID: 37303925 PMCID: PMC10251354 DOI: 10.5498/wjp.v13.i5.138] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/02/2023] [Accepted: 04/18/2023] [Indexed: 05/19/2023] Open
Abstract
Current ICD-11 descriptions for attention deficit hyperactivity disorder (ADHD) were recently published online, in the same year as the DSM-5-TR (text revised edition) was released. In this commentary, we compare and contrast the DSM-5/DSM-5-TR and ICD-11 diagnostic criteria, summarize important differences, and underscore their clinical and research implications. Overall, three major differences emerge: (1) The number of diagnostic criteria for inattention (IA), hyperactivity (HY) and impulsivity (IM) symptoms (i.e., DSM-5-TR has nine IA and nine HY/IM symptoms, whereas ICD-11 has 11 IA and 11 HY/IM sym-ptoms); (2) the clarity and standardization of diagnostic thresholds (i.e., the diagnostic thresholds for symptom count in IA and HY/IM domains are explicitly specified in DSM-5-TR, whereas in ICD-11 they are not); and (3) the partitioning of HY and IM symptoms into sub-dimensions (i.e., difference in partitioning HY and IM symptom domains relates to the differences between the current and previous editions of DSM and ICD, and this has important research implications). Currently, no ICD-11 based ADHD rating scales exist and while this absence represents an obstacle for respective research and clinical practice, it also presents opportunities for research development. This article highlights these challenges, possible remedies and novel research opportunities.
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Affiliation(s)
- Rapson Gomez
- School of Science, Psychology, and Sport, Federation University, Melbourne 3806, Australia
| | - Wai Chen
- Curtin Medical School, Curtin University, Perth 6102, Australia
| | - Stephen Houghton
- Graduate School of Education, The University of Western Australia, Perth 6009, Australia
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Liu L, Wang Y, Chen W, Gao Y, Li H, Wang Y, Chan RCK, Qian Q. Network analysis of 18 attention-deficit/hyperactivity disorder symptoms suggests the importance of " Distracted" and " Fidget" as central symptoms: Invariance across age, gender, and subtype presentations. Front Psychiatry 2022; 13:974283. [PMID: 36339870 PMCID: PMC9633674 DOI: 10.3389/fpsyt.2022.974283] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 10/06/2022] [Indexed: 11/13/2022] Open
Abstract
The network theory of mental disorders conceptualizes psychiatric symptoms as networks of symptoms that causally interact with each other. Our present study aimed to explore the symptomatic structure in children with attention-deficit/hyperactivity disorder (ADHD) using network analyses. Symptom network based on 18 items of ADHD Rating Scale-IV was evaluated in 4,033 children and adolescents with ADHD. The importance of nodes was evaluated quantitatively by examining centrality indices, including Strength, Betweenness and Closeness, as well as Predictability and Expected Influence (EI). In addition, we compared the network structure across different subgroups, as characterized by ADHD subtypes, gender and age groups to evaluate its invariance. A three-factor-community structure was identified including inattentive, hyperactive and impulsive clusters. For the centrality indices, the nodes of "Distracted" and "Fidget" showed high closeness and betweenness, and represented a bridge linking the inattentive and hyperactive/impulsive domains. "Details" and "Fidget" were the most common endorsed symptoms in inattentive and hyperactive/impulsive domains respectively. On the contrary, the "Listen" item formed a peripheral node showing weak links with all other items within the inattentive cluster, and the "Loss" item as the least central node by all measures of centrality and with low predictability value. The network structure was relatively invariant across gender, age and ADHD subtypes/presentations. The 18 items of ADHD core symptoms appear not equivalent and interchangeable. "Distracted" and "Fidget" should be considered as central, or core, symptoms for further evaluation and intervention. The network-informed differentiation of these symptoms has the potentials to refine the phenotype and reduce heterogeneity.
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Affiliation(s)
- Lu Liu
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Wai Chen
- Mental Health Service, Fiona Stanley Hospital, Perth, WA, Australia.,Curtin Medical School, Curtin University, Perth, WA, Australia.,Curtin enAble Institute, Curtin University, Bentley, WA, Australia.,Graduate School of Education, University of Western Australia, Perth, WA, Australia.,School of Medicine, University of Notre Dame Australia, Fremantle, WA, Australia.,School of Psychology, Murdoch University, Perth, WA, Australia
| | - Yuan Gao
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Haimei Li
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Yufeng Wang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qiujin Qian
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
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