Behavioral Strength and Difficulty Profiles among Children with Neurodisability
Background: Given the significant behavioral heterogeneity characterizing children with neurodevelopmental disorders and disabilities (NDD/D), the current study examined whether cluster analysis could classify a diverse sample into more homogeneous subgroups. Aims: We first utilized cluster analysis...
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| Published in | Journal of developmental and physical disabilities Vol. 33; no. 2; pp. 163 - 179 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.04.2021
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1056-263X 1573-3580 |
| DOI | 10.1007/s10882-020-09742-0 |
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| Abstract | Background: Given the significant behavioral heterogeneity characterizing children with neurodevelopmental disorders and disabilities (NDD/D), the current study examined whether cluster analysis could classify a diverse sample into more homogeneous subgroups. Aims: We first utilized cluster analysis to identify subgroups of children demonstrating similar behavior profiles. Second, we investigated the distribution of children’s primary diagnoses represented within each cluster. Finally, we compared the clinical utility of clusters versus diagnoses for indices of child and family health. Methods: Caregivers provided data for 222 children with NDD/D (
M
= 8.22 years), completing measures of child behavior and child and family health. Results: A 4-cluster solution was revealed: Social Difficulties, Cross-domain Difficulties, Hyperactive-inattentive, and Low difficulties, and a range of conditions was found within each. For all indices of child and family health, clusters explained greater variance than did diagnoses. Conclusions: The current study provides new insight into the heterogeneous nature of behavior among children with NDD/D. Considering a child’s unique constellation of strengths and difficulties may serve as a clinically meaningful supplement to diagnosis that more fully elucidates functional profile. |
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| AbstractList | Background: Given the significant behavioral heterogeneity characterizing children with neurodevelopmental disorders and disabilities (NDD/D), the current study examined whether cluster analysis could classify a diverse sample into more homogeneous subgroups. Aims: We first utilized cluster analysis to identify subgroups of children demonstrating similar behavior profiles. Second, we investigated the distribution of children’s primary diagnoses represented within each cluster. Finally, we compared the clinical utility of clusters versus diagnoses for indices of child and family health. Methods: Caregivers provided data for 222 children with NDD/D (M = 8.22 years), completing measures of child behavior and child and family health. Results: A 4-cluster solution was revealed: Social Difficulties, Cross-domain Difficulties, Hyperactive-inattentive, and Low difficulties, and a range of conditions was found within each. For all indices of child and family health, clusters explained greater variance than did diagnoses. Conclusions: The current study provides new insight into the heterogeneous nature of behavior among children with NDD/D. Considering a child’s unique constellation of strengths and difficulties may serve as a clinically meaningful supplement to diagnosis that more fully elucidates functional profile. Background: Given the significant behavioral heterogeneity characterizing children with neurodevelopmental disorders and disabilities (NDD/D), the current study examined whether cluster analysis could classify a diverse sample into more homogeneous subgroups. Aims: We first utilized cluster analysis to identify subgroups of children demonstrating similar behavior profiles. Second, we investigated the distribution of children’s primary diagnoses represented within each cluster. Finally, we compared the clinical utility of clusters versus diagnoses for indices of child and family health. Methods: Caregivers provided data for 222 children with NDD/D ( M = 8.22 years), completing measures of child behavior and child and family health. Results: A 4-cluster solution was revealed: Social Difficulties, Cross-domain Difficulties, Hyperactive-inattentive, and Low difficulties, and a range of conditions was found within each. For all indices of child and family health, clusters explained greater variance than did diagnoses. Conclusions: The current study provides new insight into the heterogeneous nature of behavior among children with NDD/D. Considering a child’s unique constellation of strengths and difficulties may serve as a clinically meaningful supplement to diagnosis that more fully elucidates functional profile. |
| Author | Miller, Anton R. Lach, Lucyna M. Gardiner, Emily |
| Author_xml | – sequence: 1 givenname: Emily surname: Gardiner fullname: Gardiner, Emily email: emily.gardiner@cw.bc.ca organization: Division of Developmental Pediatrics, Department of Pediatrics, BC Children’s Hospital Research Institute, University of British Columbia – sequence: 2 givenname: Anton R. surname: Miller fullname: Miller, Anton R. organization: Division of Developmental Pediatrics, Department of Pediatrics, BC Children’s Hospital Research Institute, University of British Columbia – sequence: 3 givenname: Lucyna M. surname: Lach fullname: Lach, Lucyna M. organization: School of Social Work, Department of Pediatrics, Neurology and Neurosurgery, McGill University |
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| Keywords | Cluster analysis Strengths and difficulties Neurodevelopmental disorder/disability Behaviour problems |
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One-year recall of psychiatric diagnoses of ADHD childrenJournal of the American Academy of Child & Adolescent Psychiatry1995341001100810.1097/00004583-199508000-00009 RussellGRodgersLRFordTThe strengths and difficulties questionnaire as a predictor of parent-reported diagnosis of autism spectrum disorder and attention deficit hyperactivity disorderPLoS One20138e8024724312466384896710.1371/journal.pone.0080247 SpeeceDLMcKinneyJDAppelbaumMIClassification and validation of behavioral subtypes of learning-disabled childrenJournal of Educational Psychology198577677710.1037/0022-0663.77.1.67 RosenbaumPMestermanRLawMJafferSRus RW Kamphaus (9742_CR37) 1999; 40 F Klopper (9742_CR39) 2017; 36 P Jauhari (9742_CR36) 2012; 9 L Lecavalier (9742_CR40) 2006; 36 J Blacher (9742_CR6) 2006; 50 A Estes (9742_CR17) 2013; 35 AV Brereton (9742_CR7) 2006; 36 H Raat (9742_CR52) 2005; 59 9742_CR19 JH Ward (9742_CR66) 1963; 58 SV Faraone (9742_CR18) 1995; 34 S Herring (9742_CR34) 2006; 50 AP Hill (9742_CR35) 2014; 8 J Elander (9742_CR15) 1996; 6 CJ Fournier (9742_CR20) 2010; 3 SS Hall (9742_CR31) 2016; 60 TM Achenbach (9742_CR1) 1991 E Emerson (9742_CR16) 2005; 30 LM Little (9742_CR41) 2017; 43 AS Eisenhower (9742_CR14) 2005; 49 R Goodman (9742_CR25) 1997; 38 JF Hair (9742_CR30) 2000 J Painter (9742_CR50) 2018; 123 BL Baker (9742_CR5) 2002; 107 FP Glascoe (9742_CR24) 1995; 95 EC Brown (9742_CR9) 2004; 109 9742_CR27 A Moreno-De-Luca (9742_CR47) 2013; 12 JO Sines (9742_CR59) 1969; 33 JF Curry (9742_CR11) 1982; 7 AM Ritzema (9742_CR53) 2016; 42 LM Dieleman (9742_CR13) 2018; 123 E Gardiner (9742_CR22) 2018; 62 H Seo (9742_CR56) 2017; 122 MG Aman (9742_CR2) 1985; 89 American Psychiatric Association (APA) (9742_CR3) 2013 E Gardiner (9742_CR21) 2015; 8 JP He (9742_CR32) 2013; 41 MA Viecili (9742_CR65) 2015; 120 JD McKinney (9742_CR43) 1986; 78 V Totsika (9742_CR64) 2011; 52 E Gardiner (9742_CR23) 2020; 46 9742_CR33 R Goodman (9742_CR28) 1999; 27 DJ Lollar (9742_CR42) 2012; 129 KA Kavale (9742_CR38) 1996; 29 A Miller (9742_CR44) 2016; 27 GM Griffith (9742_CR29) 2010; 40 C Baeza-Velasco (9742_CR4) 2014; 8 BM Cahill (9742_CR10) 1996; 101 DL Speece (9742_CR60) 1985; 77 P Rosenbaum (9742_CR54) 2008 P Surén (9742_CR61) 2012; 130 AM Daniels (9742_CR12) 2012; 42 LK Shank (9742_CR57) 2010; 55 M Brossard-Racine (9742_CR8) 2012; 16 A Miller (9742_CR45) 2018; 44 A Patnaik (9742_CR51) 2011; 56 T Tanabe (9742_CR62) 2013; 35 E Simonoff (9742_CR58) 2008; 47 V Totsika (9742_CR63) 2011; 39 9742_CR49 9742_CR46 G Russell (9742_CR55) 2013; 8 R Goodman (9742_CR26) 2001; 40 C Morris (9742_CR48) 2013; 55 |
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| Snippet | Background: Given the significant behavioral heterogeneity characterizing children with neurodevelopmental disorders and disabilities (NDD/D), the current... |
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| StartPage | 163 |
| SubjectTerms | Behavior Behavioral Science and Psychology Caregivers Child and School Psychology Child Behavior Children Children & youth Cluster analysis Family (Sociological Unit) Hyperactivity Medical diagnosis Multivariate Analysis Neurodevelopmental disorders Original Article Pediatrics Psychology Public Health |
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| Title | Behavioral Strength and Difficulty Profiles among Children with Neurodisability |
| URI | https://link.springer.com/article/10.1007/s10882-020-09742-0 https://www.proquest.com/docview/2503047628 |
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