Autonomous Gait Entrainment in the Neurologically Impaired

80 emotionally disturbed and 80 neurologically impaired boys in a public school setting were matched for WISC Full Scale IQ and chronological age. An analysis was made of the Similarities subtest responses utilizing both the error-analysis method of Spence and the cognitive style procedure of Sigel for purposes of comparison. The Wilcoxon matched-pairs signed-ranks technique was used in analyzing the data. The results were as follows: (1) the error analysis approach provided the greater potential for differential diagnosis between the two groups under consideration; (2) use of the cognitive style scores permitted improved definition of the dynamic implications of the error-analysis categories, inadequate abstracting and narrative-descriptive responses; (3) diagnostic power was not increased when all responses as opposed to errors alone were considered.

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Comparison of Scores on the Revised Stanford-Binet (L), Columbia Mental Maturity Scale (CMMS) and Goodenough Draw-a-Man Test of Children with Neurological Disorders

Psychological Reports ◽

10.2466/pr0.1966.19.1.15 ◽

1966 ◽

Vol 19 (1) ◽

pp. 15-16 ◽

Cited By ~ 2

Author(s):

Samuel Hirschenfang ◽

Selene Jaramillo ◽

Joseph G. Benton

Keyword(s):

Neurological Disorders ◽

Intelligence Tests ◽

Neurologically Impaired ◽

Neurologically Impaired Children ◽

Mental Maturity ◽

Impaired Children

IQs from three intelligence tests, individually administered to 15 neurologically impaired children, were analyzed for differences between tests requiring speech and non-verbal examinations. All correlations were significantly different from zero, but the Binet gave IQs unlike those from the CMMS and the DAMT. The CMMS and the DAMT yielded similar IQ estimates, suggesting that non-verbal tests of intelligence are more helpful in the examination of children with neurological disorders.

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A Multivariate Pattern Analysis of Metabolic Profile in Neurologically Impaired Children and Adolescents

Children ◽

10.3390/children8030186 ◽

2021 ◽

Vol 8 (3) ◽

pp. 186

Author(s):

Valeria Calcaterra ◽

Giacomo Biganzoli ◽

Gloria Pelizzo ◽

Hellas Cena ◽

Alessandra Rizzuto ◽

...

Keyword(s):

Metabolic Syndrome ◽

Glucose Metabolism ◽

Children And Adolescents ◽

Metabolic Profile ◽

Children With Disabilities ◽

Pattern Analysis ◽

Multivariate Pattern Analysis ◽

Neurologically Impaired ◽

Multivariate Pattern ◽

Impaired Children

Background: The prevalence of pediatric metabolic syndrome is usually closely linked to overweight and obesity; however, this condition has also been described in children with disabilities. We performed a multivariate pattern analysis of metabolic profiles in neurologically impaired children and adolescents in order to reveal patterns and crucial biomarkers among highly interrelated variables. Patients and methods: We retrospectively reviewed 44 cases of patients (25M/19F, mean age 12.9 ± 8.0) with severe disabilities. Clinical and anthropometric parameters, body composition, blood pressure, and metabolic and endocrinological assessment (fasting blood glucose, insulin, total cholesterol, high-density lipoprotein cholesterol, triglycerides, glutamic oxaloacetic transaminase, glutamate pyruvate transaminase, gamma-glutamyl transpeptidase) were recorded in all patients. As a control group, we evaluated 120 healthy children and adolescents (61M/59F, mean age 12.9 ± 2.7). Results: In the univariate analysis, the children-with-disabilities group showed a more dispersed distribution, thus with higher variability of the features related to glucose metabolism and insulin resistance (IR) compared to the healthy controls. The principal component (PC1), which emerged from the PC analysis conducted on the merged dataset and characterized by these variables, was crucial in describing the differences between the children-with-disabilities group and controls. Conclusion: Children and adolescents with disabilities displayed a different metabolic profile compared to controls. Metabolic syndrome (MetS), particularly glucose metabolism and IR, is a crucial point to consider in the treatment and care of this fragile pediatric population. Early detection of the interrelated variables and intervention on these modifiable risk factors for metabolic disturbances play a central role in pediatric health and life expectancy in patients with a severe disability.

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