Cluster Analysis of the Child Behavior Checklist 1.5–5 for Preschool Children Diagnosed With a Mental Disorder

2019 ◽  
Vol 123 (4) ◽  
pp. 1403-1424 ◽  
Author(s):  
Ji Ye Kim ◽  
Eun Hye Ha
Keyword(s):  
Cluster Analysis ◽  
Preschool Children ◽  
Mental Disorder ◽  
Child Behavior ◽  
Child Behavior Checklist ◽  
Discriminant Validity ◽  
Autism Spectrum ◽  
Clinical Group ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual

Research on the relationship between the Child Behavior Checklist (CBCL) and Diagnostic and Statistical Manual for Mental Disorder diagnoses for preschool children is scarce. Cluster analysis can be useful for investigating characteristics of a clinical group by using CBCL subscales and classifying subtypes of a Diagnostic and Statistical Manual for Mental Disorder diagnosis group. This study conducted a cluster analysis of the CBCL 1.5–5 for preschool children diagnosed with a mental disorder. Participants were 333 children (255 males and 78 females) aged 1.5 to 5 years who were diagnosed with a mental disorder. The CBCL 1.5–5 and Bayley Scales of Infant Development II were used as assessment instruments. Three clusters were extracted and then compared with CBCL 1.5–5 profiles of each Diagnostic and Statistical Manual for Mental Disorder-5 subject group to determine their clusters. Cluster 1 was named “intellectual disorder cluster.” Cluster 2 was referred to as “other mental disorders cluster,” and Cluster 3 was called “autism spectrum disorder cluster.” When differences in profiles of behavior problems distinguished by CBCL 1.5–5 scales were examined among different clusters, discriminant validity was found to be high.

Structure, longitudinal invariance, and stability of the Child Behavior Checklist 1½–5’s Diagnostic and Statistical Manual of Mental Disorders–Autism Spectrum Disorder scale: Findings from Generation R (Rotterdam)

Autism ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 223-235 ◽  
Author(s):  
Leslie A Rescorla ◽  
Akhgar Ghassabian ◽  
Masha Y Ivanova ◽  
Vincent WV Jaddoe ◽  
Frank C Verhulst ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Mental Disorders ◽  
Child Behavior ◽  
Child Behavior Checklist ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Base Rates ◽  
Over Time

Although the Child Behavior Checklist 1½–5’s 12-item Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale (formerly called Pervasive Developmental Problems scale) has been used in several studies as an autism spectrum disorder screener, the base rate and stability of its items and its measurement model have not been previously studied. We therefore examined the structure, longitudinal invariance, and stability of the Child Behavior Checklist 1½–5’s Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale in the diverse Generation R (Rotterdam) sample based on mothers’ ratings at 18 months ( n = 4695), 3 years ( n = 4571), and 5 years ( n = 5752). Five items that seemed especially characteristic of autism spectrum disorder had low base rates at all three ages. The rank order of base rates for the 12 items was highly correlated over time ( Qs ⩾ 0.86), but the longitudinal stability of individual items was modest (phi coefficients = 0.15–0.34). Confirmatory factor analyses indicated that the autism spectrum disorder scale model manifested configural, metric, and scalar longitudinal invariance over the time period from 18 months to 5 years, with large factor loadings. Correlations over time for observed autism spectrum disorder scale scores (0.25–0.50) were generally lower than the correlations across time of the latent factors (0.45–0.68). Results indicated significant associations of the autism spectrum disorder scale with later autism spectrum disorder diagnoses.

Electroencephalogram Abnormalities and Epilepsy in Autism Spectrum Disorders: Clinical and Electroencephalogram Findings

2021 ◽  
Author(s):  
Fatma Hanci ◽  
Sevim Türay ◽  
Yusuf Öztürk ◽  
Nimet Kabakus
Keyword(s):  
Autism Spectrum Disorders ◽  
Febrile Convulsion ◽  
Autism Spectrum ◽  
Clinical Findings ◽  
Seizure Type ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Epileptic Discharges ◽  
Spectrum Disorders ◽  
Electroencephalogram Eeg

AbstractIt has been known for several decades that epilepsy and autism spectrum disorders (ASD) are related to each other. Epilepsy frequently accompanies ASD. The purpose of this study was to investigate relationship between clinical and electroencephalogram (EEG) findings in ASD patients and to identify EEG characteristics that may create a disposition to epilepsy in ASD by examining differences in clinical and EEG findings between patients diagnosed with ASD without epilepsy and ASD with epilepsy. A total of 102 patients aged 2 to 18 years and diagnosed with ASD based on Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) diagnostic criteria between January 2017 and June 2019 were included in the study. Patients were assigned into two groups: (1) ASD with epilepsy and (2) ASD without epilepsy. Clinical findings were retrieved from patients' files, and EEG findings from first EEG records in the EEG laboratory at the time of diagnosis. EEG findings were defined as central, parietal, frontal, temporal, or generalized, depending on the location of rhythmic discharges. The incidence of epilepsy in our ASD patients was 33.7% and that of febrile convulsion was 4%. Generalized motor seizures were the most common seizure type. Epileptic discharges most commonly derived from the central and frontal regions. These abnormalities, especially frontal and central rhythmic discharges, may represent a precursor for the development of epilepsy in ASD patients.

scholarly journals Utility of the Child Behavior Checklist as a Screener for Autism Spectrum Disorder

2015 ◽  
Vol 9 (1) ◽  
pp. 33-42 ◽  
Author(s):  
K. Alexandra Havdahl ◽  
Stephen von Tetzchner ◽  
Marisela Huerta ◽  
Catherine Lord ◽  
Somer L. Bishop
Keyword(s):  
Autism Spectrum Disorder ◽  
Child Behavior ◽  
Child Behavior Checklist ◽  
Autism Spectrum ◽  
Spectrum Disorder

The Anxiety-Depression Spectrum

2014 ◽  
pp. 280-295
Author(s):  
Ovsanna Leyfer ◽  
Timothy A. Brown
Keyword(s):  
Mood Disorders ◽  
Emotional Disorders ◽  
Discriminant Validity ◽  
Diagnostic Reliability ◽  
Continuous Increase ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Anxiety Depression ◽  
Review Current

The Diagnostic and Statistical Manual of Mental Disorders (DSM) has undergone considerable revisions since its first publication, with a continuous increase in the number of the anxiety and mood disorder categories. However, many researchers have expressed concern that the expansion of our nosology has resulted in less consideration of the overlapping features of emotional disorders. The purpose of this chapter is to review current issues and empirical evidence pertinent to the classification of anxiety and mood disorders and the relevance of these issues to treatment planning. It discusses discriminant validity, including diagnostic reliability and comorbidity, reviews the existing hierarchical models of emotional disorders, proposes a dimensional approach for classification of anxiety and mood disorders, and reviews transdiagnostic treatments of emotional disorders.

scholarly journals Rasch Analysis of the Korean-Child Behavior Checklist (K-CBCL) to Assess Emotional and Behavioral Problems in Children With Autism Spectrum Disorder

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110407
Author(s):  
Eun-Young Park ◽  
Hyojeong Seo ◽  
Kwang-Sun Cho Blair ◽  
Min-Chae Kang
Keyword(s):  
Autism Spectrum Disorder ◽  
Behavior Problems ◽  
Child Behavior ◽  
Rasch Analysis ◽  
Child Behavior Checklist ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Attention Problems ◽  
Spectrum Disorder ◽  
Item Fit

This study examined the validity of the Korean version of the Child Behavior Checklist (K-CBCL) with 180 children with autism spectrum disorder (ASD) in South Korea. Rasch analysis was applied to examine item fit, item difficulty, suitability of the response scale, and person and item separation indices of the K-CBCL. The results indicated that, with the exception of six out of the 119 items, the K-CBCL had a good item fit. Suitability of the rating scale was supported. Both Attention Problems and Aggressive Behavior factors differentiated two strata of behavior problems of children with ASD, whereas six other factors only captured one stratum of behavior problems. The item separation index indicated that the items were distributed well with high reliability. We demonstrated that statistical item analysis with the Rasch model could provide valuable information related to psychometric properties.

scholarly journals Dysregulation profile defined by Child Behavior Checklist in a sample of preschool children

2019 ◽  
Vol 90 (2) ◽  
pp. 157 ◽  
Author(s):  
Rodrigo Sierra Rosales ◽  
Paula Bedregal
Keyword(s):  
Preschool Children ◽  
Child Behavior ◽  
Child Behavior Checklist ◽  
Salud Mental ◽  
Dysregulation Profile

Introducción: El perfil de desregulación (PD) es una entidad clínica de interés en el área infantojuvenil, puesto que se asocia a psicopatología futura. El PD se define a partir del instrumento Child Behavior Checklist (CBCL), combinando síntomas internalizantes (ansiedad/depresión) y externalizantes (agresividad, problemas de atención).Objetivo: Estudiar la frecuencia del perfil de PD por CBCL en una muestra de preescolares chilenos.Pacientes y Método: Se aplicó una encuesta sociodemográfica y Cuestionario CBCL 1½ - 5 a cuidadores de niños entre 30 y 48 meses de edad, en una muestra representativa nacional de usuarios de red pública. Se estimó la frecuencia utilizando el método de Kim y colaboradores y se realizó un modelo explicativo mediante regresión logística binaria del PD utilizando variables del cuidador, del niño y del contexto.Resultados: La muestra fue de 1429 preescolares y sus cuidadores. La frecuencia de PD fue de 11,6% (IC 95% 9,9-13,5%). Las variables que permiten predecir el PD en un 88,6% fueron: Síntomas depresivos actuales en el cuidador principal (OR: 2,24; IC95%: 1,37-3,67); Número de eventos vitales estresantes vividos por el cuidador principal (p = 0,005); Número de elementos disponibles para estimulación en el hogar (p = 0,001); Número de enfermedades crónicas del niño (p = 0,006).Conclusiones: PD tiene una frecuencia alta en preescolares, lo que implica una carga en salud mental relevante, apuntando a la necesidad de intervenciones en esta área, además de seguimiento longitudinal de esta subpoblación.

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