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Lu B, Fang Y, Cai J, Chen Z. Psychometric Evaluation of the Affective Reactivity Index Among Children and Adolescents in China: A Multi-Method Assessment Approach. Assessment 2024; 31:1020-1037. [PMID: 37837333 DOI: 10.1177/10731911231199424] [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: 10/16/2023]
Abstract
The Affective Reactivity Index (ARI) is one of the most studied scales for assessing youth irritability, but little is known about its measurement performance in community populations. This study applied item response theory (IRT), network analysis, and classical test theory (CTT) to examine the psychometric properties of the ARI in a sample of n = 395 community-based children (Mage = 13.44, SD = 2.51) and n = 403 parents. In this sample, the ARI demonstrated good reliability, as well as convergent and concurrent validity. The one-factor structure was supported by both confirmatory factor analysis (CFA) and network analysis. IRT analysis revealed that the ARI effectively distinguished between various levels of irritability within the community population. Network analysis identified "Loses temper easily,""Gets angry frequently," and "Often loses temper" are central aspects of irritability. The findings support the ARI as a brief, reliable, and valid instrument to assess irritability in community children and adolescents.
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Affiliation(s)
- Boqing Lu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yuan Fang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jimin Cai
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Zhiyan Chen
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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Zhang W, Tang Y, Wu Q, Zhou N, Lin X. Oppositional Defiant Disorder Symptoms and Multi-level Family Factors in Chinese Migrant Children: A Network Perspective. Res Child Adolesc Psychopathol 2023:10.1007/s10802-023-01074-9. [PMID: 37162687 DOI: 10.1007/s10802-023-01074-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/02/2023] [Indexed: 05/11/2023]
Abstract
Based on the network theory of mental disorders, this study used network analysis to examine the network of ODD symptoms and multilevel family factors and identify the most crucial family factors influencing ODD symptoms in children. A total of 718 Chinese migrant children aged 7-14 years participated in this study. This study measured ODD symptoms, family system-level variables (3 factors), family dyadic-level variables (6 factors), and family individual-level variables (6 factors) with factors selected based on the multilevel family factors theory of ODD symptoms. The results indicated that (1) "annoy" was the center symptom of ODD, (2) "annoy" and "vindictive" was the main bridge connecting the multilevel family factors, and (3) family cohesion at the family system level, parent-child conflict at the family dyadic level, and parental depression at the family individual level were critical central and bridging influencing factors. The findings of this study highlight the critical role of "annoy" and "vindictive" symptoms in the activation of ODD symptom networks in children and provide a basis for future improvements in diagnostic criteria. These potential core and bridge factors might become key intervention targets for childhood ODD.
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Affiliation(s)
- Wenrui Zhang
- Institute of Developmental Psychology, School of Psychology, Beijing Normal University, Beijing, 100875, China
| | - Yingying Tang
- Institute of Developmental Psychology, School of Psychology, Beijing Normal University, Beijing, 100875, China
- Department of Human Development and Family Sciences, The University of Texas at Austin, Austin, 78705, United States
| | - Qinglu Wu
- Institute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University at Zhuhai, Zhuhai, China
| | - Nan Zhou
- Faculty of Education, University of Macau, Macau, China
| | - Xiuyun Lin
- Institute of Developmental Psychology, School of Psychology, Beijing Normal University, Beijing, 100875, China.
- Beijing Key Laboratory of Applied Experimental Psychology, School of Psychology, Beijing Normal University, Beijing, 100875, China.
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Gossage L, Narayanan A, Dipnall JF, Iusitini L, Sumich A, Berk M, Wrapson W, Tautolo ES, Siegert R. Risk factors for depression in Pacific adolescents in New Zealand: A network analysis. J Affect Disord 2022; 311:373-382. [PMID: 35598743 DOI: 10.1016/j.jad.2022.05.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 04/28/2022] [Accepted: 05/15/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Network analysis provides opportunities to gain a greater understanding of the complex interplay of risk factors for depression and heterogeneous symptom presentations. This study used network analysis to discover risk factors associated with both depression severity and depression symptoms amongst Pacific adolescents in New Zealand. METHODS Mixed graphical models with regularization were fitted to data from a community sample of New Zealand born, Pacific adolescents, (n = 561; 51% male; Mean age (SD) = 17 (0.35)) and associations between a wide range of potentially explanatory variables and depression severity and depression symptoms investigated. The associations identified were then tested for reliability, using resampling techniques and sensitivity analysis. RESULTS In the networks, the explanatory variables associated with both depression severity and depression symptoms were those related to quality of the relationships with mother or friends, school connectedness, and self-assessed weight, but the symptoms they were associated with varied substantially. In the depression severity networks, impulsivity appeared to be a bridging node connecting depression severity with delinquency and negative peer influence. LIMITATIONS The data were analysed cross-sectionally, so causal inferences about the directions of relationships could not be inferred and most of the data were self-reported. CONCLUSIONS The results illustrate the varied way that adolescent depression can manifest itself in terms of symptoms and suggest specific items on the depression inventory that might be suitable targets for prevention strategies and interventions, based on the risk factor - depression symptom profiles of individuals or groups.
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Affiliation(s)
- Lisa Gossage
- Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand.
| | - Ajit Narayanan
- School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Joanna F Dipnall
- Clinical Registries, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; IMPACT-the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
| | - Leon Iusitini
- AUT Pacific Health Research Centre, Auckland University of Technology, Auckland, New Zealand
| | - Alexander Sumich
- Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom
| | - Michael Berk
- Deakin University, IMPACT-the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health, Department of Psychiatry, The University of Melbourne, Melbourne, Australia
| | - Wendy Wrapson
- AUT Public Health and Mental Health Research Institute, Auckland University of Technology, Auckland, New Zealand
| | - El-Shadan Tautolo
- AUT Pacific Health Research Centre, Auckland University of Technology, Auckland, New Zealand
| | - Richard Siegert
- Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand
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Gomez R, Stavropoulos V, Gomez A, Brown T, Watson S. Network analyses of Oppositional Defiant Disorder (ODD) symptoms in children. BMC Psychiatry 2022; 22:263. [PMID: 35418047 PMCID: PMC9009058 DOI: 10.1186/s12888-022-03892-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 01/13/2022] [Indexed: 11/10/2022] Open
Abstract
Based on parent and teacher ratings of their children, this study used regularized partial correlation network analysis (EBIC glasso) to examine the structure of DSM-5 Oppositional Defiant Disorder (ODD) symptoms. Parent and teachers (N = 934) from the general community in Malaysia completed questionnaires covering DSM-5 ODD symptoms. The most central ODD symptom for parent ratings was anger, followed by argue. For teacher ratings, it was anger, followed by defy. For both parent and teacher ratings, the networks revealed at least medium effect size connections for temper and argue, defy, and argue, blames others, and annoy, and spiteful and angry. Overall, the findings were highly comparable across parent and teacher ratings, and they showed a novel understanding of the structure of the ODD symptoms. The clinical implications of the findings for assessment and treatment of ODD are discussed.
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Affiliation(s)
- Rapson Gomez
- grid.1040.50000 0001 1091 4859Federation University, Ballarat, Australia
| | | | - Andre Gomez
- Wings Wellness Psychology Clinic, 116 Derrimut Road, Hoppers Crossing, Victoria 3029 Australia
| | - Taylor Brown
- grid.1019.90000 0001 0396 9544Victoria University, Footscray, Australia
| | - Shaun Watson
- grid.1040.50000 0001 1091 4859Federation University, Ballarat, Australia
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Roetman PJ, Siebelink BM, Vermeiren RRJM, Colins OF. Classes of Oppositional Defiant Disorder Behavior in Clinic-referred Children and Adolescents: Concurrent Features and Outcomes: Classification Des Comportements Dans le Trouble Oppositionnel Avec Provocation Chez Des Enfants et des Adolescents Aiguillés à Une Clinique: Caractéristiques Co-occurrentes et Résultats. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2021; 66:657-666. [PMID: 33242997 PMCID: PMC8240001 DOI: 10.1177/0706743720974840] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Oppositional defiant disorder (ODD) consists of irritable and oppositional behaviors, both of which are associated with different problems. However, it is unclear whether irritability and oppositionality enable classification of clinic-referred children and adolescents into mutually exclusive groups (e.g., high in oppositionality, low in irritability), and whether this classification is clinically meaningful. METHOD As part of a clinical protocol, ODD behaviors were assessed at referral through a comprehensive diagnostic interview and questionnaire. Parent- and teacher-reported ODD of 2,185 clinic-referred 5- to 18-year-olds (36.9% females) were used in latent class analysis. Resulting ODD classes were compared, concurrently at referral, and, longitudinally at the end of the diagnostic and treatment process, on various clinically relevant measures that were completed by various informants, including mental health problems, global functioning, and Diagnostic and Statistical Manual of Mental Disorders (DSM) classifications. RESULTS Three classes emerged with high, moderate, and low levels of both irritability and oppositionality. At referral, the high class experienced the highest levels of mental health problems and DSM classifications. Importantly, all ODD classes defined at intake were predictive of diagnostic and treatment outcomes months later. Notably, the high class had higher rates of clinician-based classifications of ODD and conduct disorder, and the lowest levels of pre- and posttreatment global functioning. Additionally, the low class exhibited higher rates of generalized anxiety disorder and fear disorders. CONCLUSIONS Irritability and oppositionality co-occur in clinic-referred youths to such an extent that classification based on these behaviors does not add to clinical inference. Instead, findings suggest that the overall ODD severity at referral should be used as a guidance for treatment.
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Affiliation(s)
- Peter J Roetman
- The Department of Child and Adolescent Psychiatry, 4501Leiden University Medical Center, Oegstgeest, the Netherlands
| | - Berend M Siebelink
- The Department of Child and Adolescent Psychiatry, 4501Leiden University Medical Center, Oegstgeest, the Netherlands
| | - Robert R J M Vermeiren
- The Department of Child and Adolescent Psychiatry, 4501Leiden University Medical Center, Oegstgeest, the Netherlands.,Youz, Parnassia Group, The Hague, the Netherlands
| | - Olivier F Colins
- The Department of Special Needs Education, Ghent University, Belgium.,The Center for Criminological and Psychosocial Research, Örebro University, Sweden
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