Authors

LUCIA PARISI1, MARGHERITA SALERNO2, AGATA MALTESE1, GABRIELE TRIPI3,4, PALMIRA ROMANO5, ANNABELLA DI FOLCO1, TERESA DI FILIPPO1, MICHELE ROCCELLA1

Departments

1Department of Psychological, Pedagogical and Educational Sciences, University of Palermo, Italy - 2Sciences for Mother and Child Health Promotion, University of Palermo, Italy - 3Department PROSAMI, University of Palermo, Italy - 4Childhood Psychiatric Service for Neurodevelopmental Disorders, CH Chinon, France - 5Clinic of Child and Adolescent Neuropsychiatry, Department of Mental Health and Physical and Preventive Medicine; Università degli Studi della Campania-Luigi Vanvitelli, Italy

Abstract

Introduction: The sinactive developmental model provides suggests a different way for the brain study by observing the chil- dren behavior. In all neurodevelopmental disorders, we can observe autonomic alteration comprising sleep disorders, meal beha- viour alteration and self-regulatory impairment. These alterations/impairment are very frequent in autism spectrum disorders (ASD) (1-12). Aim of the present preliminary study is the assessment of metabolic rate in children affected by ASD.

Material s and methods. 5 males affected by ASD aged 7-10 years (mean age 6.73±3:39), were recruited. The average score at the ADOS scale was 12.24 (SD± 3.29). The control group consisted of 5 males typically developing children (TDC) aged 7 to 11 years (mean age 7.92 ± 3.23).

Autonomic/Metabolic evaluation: Free-living daily physical activity was measured using either the SenseWear Armband in order to calculate the total energy expenditure (TEE), baseline (REE) and the metabolic physical activity for prolonged periods of time. In general, the SenseWear Armband allows objective monitoring of the lifestyle including duration and sleep efficiency.

Results: ASD subjects show values of total energy expenditure (p = 0.0047) and active energy expenditure (p = 0.044) signifi- cantly higher compared to control subjects (Table 1). In addition, ASD children have a metabolic intermediate significantly higher than healthy subjects (p=0.015). (Table 1). Finally, the ASD children show a significant reduction of sleep time (p = 0.027) (Table 1).

Conclusion: ASD can represents a very significant risk factor for developing sleep disorders and to high energy expenditure, although further studies are needed in this respect.

Keywords

autonomic regulation, autism spectrum disorders, SenseWear Armband

DOI:

10.19193/0393-6384_2017_3_073