Can IQ predict parent-reported behavioral and emotional problems in children with neurological deficiencies?

Peijnenborgh, Janneke; Abeelen, Sandra A.M. van; Hurks, Petra P. M.; Laridon, Annick; Klinkenberg, Sylvia; Aldenkamp, Albert P.; Vles, Johan S.H.; Hendriksen, Jos G.M.

doi:10.1016/j.ejpn.2016.09.004

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…To solve these problems, further study is needed with a larger population, and more research is needed to determine why differences in associations with PIQ and VIQ can occur. [58][59][60][61] When we conducted sensitivity analysis using k-means clustering, we found that the five clusters had similar patterns to the profiles, albeit less pronounced and with higher levels of OPPs in the low POP cluster. We found that k-means clustering had three main disadvantages: the unclear method of choosing a model, the tendency towards choosing clusters of the same size, and the nonprobabilistic nature of cluster assignment.…”

Section: Discussionmentioning

confidence: 97%

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Using Latent Profile Analysis to Identify Associations Between Gestational Chemical Mixtures and Child Neurodevelopment

et al. 2022

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Background: Unsupervised machine learning techniques have become increasingly popular for studying associations between gestational exposure mixtures and human health. Latent profile analysis is one method that has not been fully explored. Methods: We estimated associations between gestational chemical mixtures and child neurodevelopment using latent profile analysis. Using data from the Maternal-Infant Research on Environmental Chemicals (MIREC) research platform, a longitudinal cohort of pregnant Canadian women and their children, we generated latent profiles from 27 gestational exposure biomarkers. We then examined the associations between these profiles and child Verbal IQ, Performance IQ, and Full-Scale IQ, measured with the Wechsler Preschool and Primary Scale of Intelligence, Third Edition (WPPSI-III). We validated our findings using k-means clustering. Results: Latent profile analysis detected five latent profiles of exposure: a reference profile containing 61% of the study participants, a high monoethyl phthalate (MEP) profile with moderately low persistent organic pollutants (POPs) containing 26%, a high POP profile containing 6%, a low POP profile containing 4%, and a smoking chemicals profile containing 3%. We observed negative associations between both the smoking chemicals and high MEP profiles and all IQ scores and between the high POP profile and Full-Scale and Verbal IQ scores. We also found a positive association between the low POP profile and Full-Scale and Performance IQ scores. All associations had wide 95% confidence intervals. Conclusions: Latent profile analysis is a promising technique for identifying patterns of chemical exposure and is worthy of further study for its use in examining complicated exposure mixtures.

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Section: Discussionmentioning

confidence: 97%

“…To solve these problems, further study is needed with a larger population, and more research is needed to determine why differences in associations with PIQ and VIQ can occur. 58–61…”

Section: Discussionmentioning

confidence: 99%

Using Latent Profile Analysis to Identify Associations Between Gestational Chemical Mixtures and Child Neurodevelopment

et al. 2022

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“…Since participant 3 has a profound ID, the fact that he displayed difficulties on all subdomains of behavioral functioning, may be related to his level of intellectual functioning. The aforementioned behavioral problems in social functioning may partly be explained by the increased risk of problems in social behavior in patients with intellectual disability (Dekker, Koot, Van der Ende, and Verhulst, 2002; Peijnenborgh et al, 2017). Therefore, treatment and counseling for these behavioral problems can be optimized by taking the level of developmental functioning into account.…”

Section: Discussionmentioning

confidence: 99%

Behavior and cognitive functioning in Witteveen–Kolk syndrome

Dongen

Wingbermühle

Dingemans

et al. 2020

American J of Med Genetics Pt A

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Witteveen–Kolk syndrome (WITKOS) is a rare neurodevelopmental disorder characterized by developmental delay/intellectual disability, facial dysmorphisms, and short stature. The syndrome is caused by loss of function of switch‐insensitive 3 transcription regulator family member A (SIN3A). Regarding behavioral functioning, Autism Spectrum Disorders (ASD), obsessive–compulsive behaviors, as well as Attention‐Deficit/Hyperactivity Disorder symptoms (ADHD) have been suggested. The present study explores various aspects of neurocognitive functioning in five individuals (age range 10–23) with WITKOS. Medical records and results of extensive neuropsychological assessment are used to describe developmental trajectories and neurocognitive profiles. Systematic analysis of medical records displays developmental difficulties described as ASD or ADHD in childhood, sleep problems and internalizing problems during adolescence. Results of cognitive assessments indicate profoundly disabled (n = 1), mildly disabled (n = 2), borderline (n = 1), and average (n = 1) levels of intelligence. Furthermore, results indicate weaknesses in speed of information processing/sustained attention in all participants, and difficulties in planning and maintaining overview in three participants. Furthermore, parent reports of behavioral functioning primarily suggest problems in social functioning. Implications of both cognitive problems and social–emotional vulnerabilities for counseling are discussed and supplemented with suggestions for interventions.

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Epidemiological and clinical characteristics of multiple sclerosis in paediatric population in Slovenia: A descriptive nation-wide study

Bizjak

Osredkar

Benedik

et al. 2017

Multiple Sclerosis and Related Disorders

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Can IQ predict parent-reported behavioral and emotional problems in children with neurological deficiencies?

Cited by 3 publications

References 14 publications

Using Latent Profile Analysis to Identify Associations Between Gestational Chemical Mixtures and Child Neurodevelopment

Using Latent Profile Analysis to Identify Associations Between Gestational Chemical Mixtures and Child Neurodevelopment

Behavior and cognitive functioning in Witteveen–Kolk syndrome

Epidemiological and clinical characteristics of multiple sclerosis in paediatric population in Slovenia: A descriptive nation-wide study

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