Reliability of parent report measures of behaviour in children with Down syndrome

Esbensen, Anna J.; Hoffman, Emily K.; Shaffer, Rebecca C.; Chen, E.; Patel, Lina; Jacola, Lisa M.

doi:10.1111/jir.12533

Cited by 26 publications

(20 citation statements)

References 39 publications

(55 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Behavioural assessment in our cohort demonstrated similar results to that of Esbensen et al [56] Their study of 88 school-age children with DS found 33.3% scored in the range of clinical concern for "total problem score" compared to 26% in our group. The same three sub-domains of social, thought and attention problems were highest in both groups and the least problems were found in the anxious/depressed sub-domain.…”

Section: Discussionsupporting

confidence: 90%

Sleep, Function, Behaviour and Cognition in a Cohort of Children with Down Syndrome

et al. 2021

View full text Add to dashboard Cite

Objective: To describe the sleep problems experienced by children with Down syndrome attending a tertiary sleep clinic and relationship with behaviour, function and cognition. Methods: Data were collected from children with Down syndrome aged 3–18 years old. Carers completed the Abbreviated Child Sleep Habits Questionnaire, Child Behaviour Checklist and Life-Habits Questionnaire at enrolment. Cognitive assessment (Stanford-Binet 5) was undertaken by a trained psychologist. Children received management for their sleep problem as clinically indicated. Results: Forty-two subjects with a median age of 6.8 years (Interquartile Range-IQR 4.5, 9.8) were enrolled. A total of 92% were referred with snoring or symptoms of Obstructive Sleep Apnoea (OSA), with 79% of those referred having had previous ENT surgery. Thus, 85% of all participants underwent a sleep study and 61% were diagnosed with OSA (OAHI ≥ 1/h). Based on questionnaires, 86% of respondents indicated that their child had a significant sleep disorder and non-respiratory sleep problems were common. Non-respiratory problems included: trouble going to sleep independently (45%), restless sleep (76%), night-time waking (24%) and bedtime resistance (22%). No significant correlations were found between sleep measures (behavioural and medical sleep problems) and the behavioural, functional or cognitive parameters. Conclusion: Sleep disorders were very common, especially non-respiratory sleep problems. OSA was common despite previous surgery. No association was found between sleep-related problems (snoring, sleep-study-confirmed OSA or non-respiratory sleep problem) and parent-reported behavioural problems, functional impairments or intellectual performance. This may reflect limitations of the measures used in this study, that in this population ongoing problems with daytime function are not sleep related or that a cross-sectional assessment does not adequately take into account the impacts of past disease/treatments. Further research is required to further evaluate the tools used to evaluate sleep disorders, the impact of those disorder on children with Down syndrome and interventions which improve both sleep and daytime function.

show abstract

Section: Discussionsupporting

confidence: 90%

Sleep, Function, Behaviour and Cognition in a Cohort of Children with Down Syndrome

et al. 2021

View full text Add to dashboard Cite

show abstract

“…It should be noted that, even with these limitations, we believe that this is one of the most reliable tests for people with DS [ 49 ], which is supported by its regular use as an inclusion criterion [ 31 , 51 , 52 , 53 , 54 ].…”

Section: Methodsmentioning

confidence: 99%

Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment

et al. 2021

View full text Add to dashboard Cite

Background: Studies on complexity indicators in the field of functional connectivity derived from resting-state fMRI (rs-fMRI) in Down syndrome (DS) samples and their possible relationship with cognitive functioning variables are rare. We analyze how some complexity indicators estimated in the subareas that constitute the default mode network (DMN) might be predictors of the neuropsychological outcomes evaluating Intelligence Quotient (IQ) and cognitive performance in persons with DS. Methods: Twenty-two DS people were assessed with the Kaufman Brief Test of Intelligence (KBIT) and Frontal Assessment Battery (FAB) tests, and fMRI signals were recorded in a resting state over a six-minute period. In addition, 22 controls, matched by age and sex, were evaluated with the same rs-fMRI procedure. Results: There was a significant difference in complexity indicators between groups: the control group showed less complexity than the DS group. Moreover, the DS group showed more variance in the complexity indicator distributions than the control group. In the DS group, significant and negative relationships were found between some of the complexity indicators in some of the DMN networks and the cognitive performance scores. Conclusions: The DS group is characterized by more complex DMN networks and exhibits an inverse relationship between complexity and cognitive performance based on the negative parameter estimates.

show abstract

“…Sleep Disturbance Scale: The Sleep Disturbance Scale for Children (SDSC) is an inventory completed by parents that uses a five point Likert-type scale (Romeo et al 2013). This assessment is used for categorizing sleep disorders in children during the previous 6 months and incorporates five subdomains: disorders of initiating and maintaining sleep, sleep breathing disorders, disorders of arousal/nightmares, sleep/wake transition disorders, disorders of excessive somnolence, and sleep hyperhidrosis (Esbensen et al 2018). In the current study, only the total score across all domains was examined.…”

Section: Psychiatric Measuresmentioning

confidence: 99%

Investigation of Psychiatric and Neuropsychological Correlates of Default Mode Network and Dorsal Attention Network Anticorrelation in Children

et al. 2020

View full text Add to dashboard Cite

The default mode network (DMN) and dorsal attention network (DAN) demonstrate an intrinsic “anticorrelation” in healthy adults, which is thought to represent the functional segregation between internally and externally directed thought. Reduced segregation of these networks has been proposed as a mechanism for cognitive deficits that occurs in many psychiatric disorders, but this association has rarely been tested in pre-adolescent children. The current analysis used data from the Adolescent Brain Cognitive Development study to examine the relationship between the strength of DMN/DAN anticorrelation and psychiatric symptoms in the largest sample to date of 9- to 10-year-old children (N = 6543). The relationship of DMN/DAN anticorrelation to a battery of neuropsychological tests was also assessed. DMN/DAN anticorrelation was robustly linked to attention problems, as well as age, sex, and socioeconomic factors. Other psychiatric correlates identified in prior reports were not robustly linked to DMN/DAN anticorrelation after controlling for demographic covariates. Among neuropsychological measures, the clearest correlates of DMN/DAN anticorrelation were the Card Sort task of executive function and cognitive flexibility and the NIH Toolbox Total Cognitive Score, although these did not survive correction for socioeconomic factors. These findings indicate a complicated relationship between DMN/DAN anticorrelation and demographics, neuropsychological function, and psychiatric problems.

show abstract

Reliability of parent report measures of behaviour in children with Down syndrome

Cited by 26 publications

References 39 publications

Sleep, Function, Behaviour and Cognition in a Cohort of Children with Down Syndrome

Sleep, Function, Behaviour and Cognition in a Cohort of Children with Down Syndrome

Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment

Investigation of Psychiatric and Neuropsychological Correlates of Default Mode Network and Dorsal Attention Network Anticorrelation in Children

Contact Info

Product

Resources

About