Evaluating the Clinical Applicability of Multifrequency Bioelectrical Impedance Analysis for Nutritional Status Prediction in Hospitalized Persons With Severe Motor and Intellectual Disabilities.

Background: Persons with severe motor and intellectual disabilities (SMID) have difficulty using general nutritional assessments in the elderly and other populations because of their physical characteristics. The purpose of this study was to investigate the clinical utility of body composition, which has been suggested to be related to biochemical tests in persons with SMID.

Methods: We calculated cutoff values of body composition predicting malnutrition and compared the usage of peripheral parenteral nutrition for the two groups divided by each body composition cutoff value.

The importance of comprehensive support based on the three pillars of exercise, nutrition, and sleep for improving core symptoms of autism spectrum disorders.

Autism spectrum disorder (ASD) is classified as a neurodevelopmental disorder. The Diagnostic and Statistical Manual of Mental Disorders (DSM)-V, which first described ASD, lists persistent deficits in social communication and interrelationships, as well as limited and recurrent modes of behavior, interests, and activities as diagnostic items. Until recently, understanding the pathophysiology of ASD has been mostly from a neurophysiological perspective, and interventions have been mostly behavioral and psychological.

The utility of bioelectrical impedance analysis to assess nutritional status of patients with severe motor and intellectual disabilities.

Objective: We aimed to evaluate the usefulness of the bioelectrical impedance analysis method in the nutritional assessment of patients with severe motor and intellectual disabilities.

Methods: Eighty patients with severe motor and intellectual disabilities were included in the study, and the samples collected were biochemical and body composition data were obtained from regular blood samples and using the bioelectrical impedance analysis method. Nutritional status was scored from the biochemical data, and the subjects were divided into three groups: well-nourished, mildly malnourished, and moderately malnourished.