scholarly journals Further evidence that severe scores in the aggression/anxiety-depression/attention subscales of child behavior checklist (severe dysregulation profile) can screen for bipolar disorder symptomatology: a conditional probability analysis

2014 ◽  
Vol 165 ◽  
pp. 81-86 ◽  
Author(s):  
Mai Uchida ◽  
Stephen V. Faraone ◽  
MaryKate Martelon ◽  
Tara Kenworthy ◽  
K. Yvonne Woodworth ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Child Behavior ◽  
Conditional Probability ◽  
Child Behavior Checklist ◽  
Probability Analysis ◽  
Dysregulation Profile ◽  
Anxiety Depression ◽  
Conditional Probability Analysis

Quantifying electron transit in donor-bridge-acceptor systems using probabilistic confidence

2018 ◽  
Vol 17 (07) ◽  
pp. 1850046 ◽  
Author(s):  
Evan Curtin ◽  
Gloria Bazargan ◽  
Karl Sohlberg
Keyword(s):  
Charge Transport ◽  
Conditional Probability ◽  
Probabilistic Approach ◽  
Probability Analysis ◽  
Time Dependent ◽  
Quantum Particles ◽  
Transit Times ◽  
Conditional Probability Analysis ◽  
Insight Into ◽  
Dependent Probability

A probabilistic approach to characterizing transit times for quantum particles is generalized to a system of more than two spatial regions and applied to the transport of charge in donor-bridge-acceptor systems. The approach is based on applying conditional probability analysis to a discrete representation of the time-dependent probability density as generated by numerical solution of the time-dependent Schrödinger equation for an initially localized electron. To carry out this analysis, it is first necessary to cast the conditional probability analysis approach in matrix form. The results afford a quantification of the electron transit time and may provide a tool to gain insight into the mechanism of charge transport.

scholarly journals The Child Behavior Checklist (CBCL) and the CBCL-Bipolar Phenotype Are Not Useful in Diagnosing Pediatric Bipolar Disorder

2009 ◽  
Vol 19 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Rasim Somer Diler ◽  
Boris Birmaher ◽  
David Axelson ◽  
Ben Goldstein ◽  
MaryKay Gill ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Child Behavior ◽  
Child Behavior Checklist ◽  
Pediatric Bipolar Disorder

Prevalence and Genetic Architecture of Child Behavior Checklist–Juvenile Bipolar Disorder

2005 ◽  
Vol 58 (7) ◽  
pp. 562-568 ◽  
Author(s):  
James J. Hudziak ◽  
Robert R. Althoff ◽  
Eske M. Derks ◽  
Stephen V. Faraone ◽  
Dorret I. Boomsma
Keyword(s):  
Bipolar Disorder ◽  
Child Behavior ◽  
Genetic Architecture ◽  
Child Behavior Checklist

scholarly journals The Dysregulation Profile Predicts Cannabis Use in the Offspring of Teenage Mothers

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Natacha M. De Genna ◽  
Cynthia Larkby ◽  
Marie D. Cornelius
Keyword(s):  
Drug Use ◽  
Child Behavior Checklist ◽  
Pubertal Timing ◽  
Attention Problems ◽  
Teenage Mothers ◽  
Cannabis Use ◽  
Teenage Girls ◽  
Dysregulation Profile ◽  
Anxiety Depression ◽  
Early Drug

Background. Offspring of teenage mothers are at greater risk of early drug use. Research has identified a child behavior checklist (CBCL) profile for children with high levels of comorbid behavior problems, the dysregulation profile (DP), as another risk factor for drug use. Method. Teenage girls (12–18 years old; 71% African-American, 29% White) were recruited during pregnancy. Data were collected during pregnancy and when offspring were 6, 10, and 14 years old (). Mothers completed the CBCL when children were at ages 6 and 10, and children who scored 60 or higher on all 3 DP subscales (aggression, anxiety/depression, and attention problems) were categorized as dysregulated. At ages 10 and 14, the offspring (50% male, 50% female) reported on their cannabis use and completed the childhood depression inventory (CDI). Results. DP at age 6 and depressive symptoms at age 14 predicted recent cannabis use in the offspring. There was a significant interaction between race and pubertal timing such that White offspring who matured earlier were at greater risk of recent cannabis use. Conclusions. The results of this study suggest that it may be possible to identify a subset of children at risk of dual diagnosis as early as age 6.

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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