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Zhang S, Chen C, Zhou Y, Pan M, Li H, Zhao M, Dong M, Si F, Liu L, Wang Y, Qian Q. The Chinese Version of the Compensatory ADHD Behaviors Scale (CABS): A Study on Reliability, Validity, and Clinical Utility. Neuropsychiatr Dis Treat 2024; 20:1025-1040. [PMID: 38764747 PMCID: PMC11102070 DOI: 10.2147/ndt.s463974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/06/2024] [Indexed: 05/21/2024] Open
Abstract
Purpose With the further development of attention-deficit/hyperactivity disorder (ADHD) research, more and more assessment tools related to ADHD have been used. However, there is still no measurement instrument to evaluate the compensatory behavior of ADHD in China. This study aimed to examine the reliability and validity of the Compensatory ADHD Behaviors Scale (CABS) adapted in Chinese and explore ecological characteristics in adults with ADHD using the CABS. Patients and Methods Data were collected from a sample of 306 adults (Mage = 26.43 years, SD = 5.32; 46.08% male). The original version CABS was translated into Chinese using the forward and backward translation procedures. Participants completed the CABS and questionnaires assessing ADHD symptoms and executive function. We utilized content validity, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and criterion validity to test the validity. Internal consistency and test-retest reliability were employed to test the reliability. Analysis of variance (ANOVA) was employed to compare ADHD subgroups based on gender, ADHD subtype, comorbidities, and medication status, while controlling for demographic variables as covariates. Results CABS exhibited good construct validity (two factors: present-oriented and future-oriented), content validity (content validity index: 0.98), internal consistency reliability (Cronbach's alpha coefficient: 0.85 to 0.87) and test-retest reliability (intraclass correlation coefficient: 0.59 to 0.88). The results of CFA showed acceptable fitness for each subscale. CABS demonstrated significant associations with inattention symptoms and plan/organizational abilities. Medicated ADHD individuals scored higher on future-oriented effectiveness subscale of CABS than non-medicated (F = 6.106, p = 0.014). Conclusion The results indicate that the Chinese CABS exhibited good validity and reliability. It can be considered a valid tool for assessing compensatory behaviors in Chinese adults with ADHD. Further research is needed to explore the connection between medication and compensatory behavior.
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Affiliation(s)
- Shiyu Zhang
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Caili Chen
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Yi Zhou
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Meirong Pan
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Haimei Li
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Mengjie Zhao
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Min Dong
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Feifei Si
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Lu Liu
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Yufeng Wang
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
| | - Qiujin Qian
- Peking University Sixth Hospital/ Institute of Mental Health, Beijing, 100191, People’s Republic of China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China
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Chen C, Zhang S, Hong H, Qiu S, Zhou Y, Zhao M, Pan M, Si F, Dong M, Li H, Wang Y, Liu L, Sonuga-Barke EJS, Qian Q. Psychometric properties of the Chinese version of the Quick Delay Questionnaire (C-QDQ) and ecological characteristics of reward-delay impulsivity of adults with ADHD. BMC Psychiatry 2024; 24:251. [PMID: 38566048 PMCID: PMC10988885 DOI: 10.1186/s12888-024-05706-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 03/21/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND The Quick Delay Questionnaire (QDQ) is a short questionnaire designed to assess delay-related difficulties in adults. This study aimed to examine the reliability and validity of the Chinese version of the QDQ (C-QDQ) in Chinese adults, and explore the ecological characteristics of delay-related impulsivity in Chinese adults with attention-deficit/hyperactivity disorder (ADHD). METHODS Data was collected from 302 adults, including ADHD (n = 209) and healthy controls (HCs) (n = 93). All participants completed the C-QDQ. The convergent validity, internal consistency, retest reliability and confirmatory factor analysis (CFA) of the C-QDQ were analyzed. The correlations between C-QDQ and two laboratory measures of delay-related difficulties and Barratt Impulsiveness Scale-11 (BIS-11), the comparison of C-QDQ scores between ADHD subgroups and HCs were also analyzed. RESULTS The Cronbach's α of C-QDQ was between 0.83 and 0.89. The intraclass correlation coefficient of C-QDQ was between 0.80 and 0.83. The results of CFA of C-QDQ favoured the original two-factor model (delay aversion and delay discounting). Significant positive associations were found between C-QDQ scores and BIS-11 total score and performance on the laboratory measure of delay-related difficulties. Participants with ADHD had higher C-QDQ scores than HCs, and female ADHD reported higher scores on delay discounting subscale than male. ADHD-combined type (ADHD-C) reported higher scores on delay aversion subscale than ADHD-inattention type (ADHD-I). CONCLUSION The C-QDQ is a valid and reliable tool to measure delay-related responses that appears to have clinical utility. It can present the delay-related impulsivity of patients with ADHD. Compared to HCs, the level of reward-delay impulsivity was higher in ADHD.
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Affiliation(s)
- Caili Chen
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Shiyu Zhang
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Haiheng Hong
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Sunwei Qiu
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Yi Zhou
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Mengjie Zhao
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Meirong Pan
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Feifei Si
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Min Dong
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Haimei Li
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Yufeng Wang
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Lu Liu
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China.
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
| | | | - Qiujin Qian
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China.
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
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Kerashvili N, Gutmann DH. The management of neurofibromatosis type 1 (NF1) in children and adolescents. Expert Rev Neurother 2024; 24:409-420. [PMID: 38406862 DOI: 10.1080/14737175.2024.2324117] [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] [Received: 01/05/2024] [Accepted: 02/23/2024] [Indexed: 02/27/2024]
Abstract
INTRODUCTION Neurofibromatosis type 1 (NF1) is a rare neurogenetic disorder characterized by multiple organ system involvement and a predisposition to benign and malignant tumor development. With revised NF1 clinical criteria and the availability of germline genetic testing, there is now an opportunity to render an early diagnosis, expedite medical surveillance, and initiate treatment in a prompt and targeted manner. AREAS COVERED The authors review the spectrum of medical problems associated with NF1, focusing specifically on children and young adults. The age-dependent appearance of NF1-associated features is highlighted, and the currently accepted medical treatments are discussed. Additionally, future directions for optimizing the care of this unique population of children are outlined. EXPERT OPINION The appearance of NF1-related medical problems is age dependent, requiring surveillance for those features most likely to occur at any given age during childhood. As such, we advocate a life stage-focused screening approach beginning in infancy and continuing through the transition to adult care. With early detection, it becomes possible to promptly institute therapies and reduce patient morbidity. Importantly, with continued advancement in our understanding of disease pathogenesis, future improvements in the care of children with NF1 might incorporate improved risk assessments and more personalized molecularly targeted treatments.
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Affiliation(s)
- Nino Kerashvili
- Department of Neurology, University of Oklahoma Health Science Center, Oklahoma City, OK, USA
| | - David H Gutmann
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
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Maier A, Pride NA, Hearps SJC, Shah N, Porter M, North KN, Payne JM. Neuropsychological factors associated with performance on the rey-osterrieth complex figure test in children with neurofibromatosis type 1. Child Neuropsychol 2024; 30:348-359. [PMID: 37038321 DOI: 10.1080/09297049.2023.2199975] [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] [Received: 12/06/2022] [Accepted: 03/30/2023] [Indexed: 04/12/2023]
Abstract
Children with neurofibromatosis type 1 (NF1) are at considerable risk for cognitive difficulties, including visuospatial deficits and executive dysfunction. This study aimed to (1) assess the overall performance of children with NF1 on the Rey-Osterrieth Complex Figure Test (RCFT) compared to unaffected siblings and (2) examine neuropsychological predictors of RCFT performance in children with NF1. A retrospective clinical audit was performed on neuropsychological records from a multidisciplinary NF1 Clinic in Australia. We searched for children that had completed an assessment between 2000 and 2015 which included the RCFT and other neuropsychological outcomes in this study. These included the Wechsler Intelligence Scale for Children, Judgment of Line Orientation (JLO), Tower of London test, Conners ADHD Scales, and the Behavioral Rating Inventory of Executive Function (BRIEF). The study population consisted of 191 children with NF1 aged 6-16 years, and 55 unaffected siblings recruited from a separate study. Results revealed that 62% of children with NF1 performed at or below the first percentile on the RCFT copy, which was significantly worse than their unaffected siblings. Visuospatial skills, parent-rated executive abilities, ADHD symptoms, and intellectual skills all predicted poorer performance on the RCFT copy, however the best fitting multiple regression model only contained the JLO, BRIEF Metacognition Index, and chronological age. The JLO emerged as the strongest predictor of RCFT performance. This study provides evidence that visuospatial deficits are a key driver of reduced RCFT performance in NF1 and that executive skills as well as a younger age are also independent predictors of RCFT performance.
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Affiliation(s)
- Alice Maier
- The Royal Children's Hospital, Murdoch Children's Research Institute, Melbourne, Australia
| | - Natalie A Pride
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Sydney, Australia
| | - Stephen J C Hearps
- The Royal Children's Hospital, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Critical Care, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Nijashree Shah
- School of Psychology, Macquarie University, Sydney, Australia
| | - Melanie Porter
- School of Psychology, Macquarie University, Sydney, Australia
| | - Kathryn N North
- The Royal Children's Hospital, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Jonathan M Payne
- The Royal Children's Hospital, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
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Crow AJD, Janssen JM, Marshall C, Moffit A, Brennan L, Kohler CG, Roalf DR, Moberg PJ. A systematic review and meta-analysis of intellectual, neuropsychological, and psychoeducational functioning in neurofibromatosis type 1. Am J Med Genet A 2022; 188:2277-2292. [PMID: 35546306 PMCID: PMC9302478 DOI: 10.1002/ajmg.a.62773] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 02/27/2022] [Accepted: 04/06/2022] [Indexed: 01/07/2023]
Abstract
Neurofibromatosis Type 1 (NF1) is a common genetic disorder frequently associated with cognitive deficits. Despite cognitive deficits being a key feature of NF1, the profile of such impairments in NF1 has been shown to be heterogeneous. Thus, we sought to quantitatively synthesize the extant literature on cognitive functioning in NF1. A random-effects meta-analysis of cross-sectional studies was carried out comparing cognitive functioning of patients with NF1 to typically developing or unaffected sibling comparison subjects of all ages. Analyses included 50 articles (Total NNF1 = 1,522; MAge = 15.70 years, range = 0.52-69.60), yielding 460 effect sizes. Overall moderate deficits were observed [g = -0.64, 95% CI = (-0.69, -0.60)] wherein impairments differed at the level of cognitive domain. Deficits ranged from large [general intelligence: g = -0.95, 95% CI = (-1.12, -0.79)] to small [emotion: g = -0.37, 95% CI = (-0.63, -0.11)]. Moderation analyses revealed nonsignificant contributions of age, sex, educational attainment, and parental level of education to outcomes. These results illustrate that cognitive impairments are diffuse and salient across the lifespan in NF1. Taken together, these results further demonstrate efforts should be made to evaluate and address cognitive morbidity in patients with NF1 in conjunction with existing best practices.
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Affiliation(s)
- Andrew J D Crow
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jennica M Janssen
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Psychology, Drexel University, Philadelphia, Pennsylvania, USA
| | - Carolina Marshall
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Psychology, Hope College, Holland, Michigan, USA
| | - Anne Moffit
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | | | - Christian G Kohler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Paul J Moberg
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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