Nutrición Hospitalaria 00210 / http://dx.doi.org/10.20960/nh.210
Resumen| PDF (ENGLISH)

Trabajo Original

Body composition of patients with autism spectrum disorder through bioelectrical impedance


Kamila Castro, Larissa Slongo Faccioli, Diego Baronio, Carmem Gottfried, Ingrid Schweigert Perry, Rudimar Riesgo

Logo Descargas   Número de descargas: 2579      Logo Visitas   Número de visitas: 9288      Citas   Citas: 10

Compártelo:


Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in sociability, communication, and limited repertoire of interests and behaviors.Objectives :We aimed to investigate the nutritional status through bioelectrical impedance analysis (BIA) and antrophometrics variables in 63 ASD children and adolescents (10.5 ± 4.1 years; 81% male).Materials and methods: Anthropometric variables were weight, height, and waist circumference (WC); body composition (fat mass, fat free mass) and phase angle (PA) were obtained through BIA.Results: The body mass index showed a prevalence of overweight, obesity and underweight of 38.9, 36.5 and 15.8%, respectively. According to the body fat percentual, obesity prevalence was 49.2%, and 49.2% showed WC > 80th percentile for age. Eleven patients presented lower PA values than references.Conclusion: According to the these parameters, a large percentual of ASD children and adolescents in this sample had total overweight and obesity and truncal adiposity, which causes concern, as well as the percentage of underweight participants.

Palabras Clave: Autism spectrum disorder. Body composition. Nutritional status. Nutrition.



Hernández Fernández, Isamar Guadalupe, Omaña Covarrubias, Arianna, Conde Vega, Jaquelinne, Rodríguez Ávila, Jimena, Díaz Martínez, Grabriela, Moya Escalera, Adrián, López Pontigo, Lydia (2023) Nutritional status and food intake frequency in children with autism spectrum disorder. Nutrición Hospitalaria
Moore, Robyn, Dada, Shakila, Emmambux, Mohammad Naushad, Samuels, Alecia (2021) Food and nutrition security in persons with disabilities. A scoping review. Global Food Security
Motil, Kathleen J., Geerts, Suzanne, Annese, Fran, Neul, Jeffrey L., Benke, Tim, Marsh, Eric, Lieberman, David, Skinner, Steven A., Glaze, Daniel G., Heydemann, Peter, Beisang, Arthur, Standridge, Shannon, Ryther, Robin, Lane, Jane B., Edwards, Lloyd, Percy, Alan K. (2022) Anthropometric Measures Correspond with Functional Motor Outcomes in Females with Rett Syndrome. The Journal of Pediatrics
Franco-Oliva, Andrea, Ávila-Nava, Azalia, Rodríguez-Aguilar, Estíbaliz Amairani, Trujillo-Mercado, Ander, García-Guzmán, Alda Daniela, Pinzón-Navarro, Beatriz Adriana, Fuentes-Servín, Jimena, Guevara-Cruz, Martha, Medina-Vera, Isabel (2023) Association between phase angle and the nutritional status in pediatric populations: a systematic review. Frontiers in Nutrition
Kahathuduwa, Chanaka N., West, Blake D., Blume, Jessica, Dharavath, Nagaraju, Moustaid‐Moussa, Naima, Mastergeorge, Ann (2019) The risk of overweight and obesity in children with autism spectrum disorders: A systematic review and meta‐analysis. Obesity Reviews
Molina‐López, Jorge, Leiva‐García, Beatriz, Planells, Elena, Planells, Paloma (2021) Food selectivity, nutritional inadequacies, and mealtime behavioral problems in children with autism spectrum disorder compared to neurotypical children. International Journal of Eating Disorders
Rouphael, Melissa, Sacre, Yonna, Bitar, Tania, Andres, Christian R., Hleihel, Walid (2024) Body Composition and Anthropometric Measurements in Children and Adolescents with Autism Spectrum Disorder: A Case–Control Study in Lebanon. Nutrients
Kahathuduwa, Chanaka N., Dhanasekara, Chathurika S., Wakefield, Sarah, Moustaid-Moussa, Naima, Mastergeorge, Ann (2022) Autism spectrum disorder is associated with an increased risk of development of underweight in children and adolescents: A systematic review and meta-analysis. Research in Autism Spectrum Disorders
American Psychiatric Association; Diagnostic and Statistical Manual of Mental Disorders (DSM-V). 5 ed: 2013.
Center for Disease Control and Prevention (CDC). Prevalence of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2010. 2014;63:1-21.
Buescher AV, Cidav Z, Knapp M, Mandell DS. Costs of autism spectrum disorders in the United Kingdom and the United States. JAMA Pediatr. 2014;168:721-728.
DOI: 10.1001/jamapediatrics.2014.210
Khetrapal N. Overlap of autism and seizures: understanding cognitive comorbidity. Mens Sana Monogr. 2010;8:122-128.
DOI: 10.4103/0973-1229.58823
Accardo JA, Malow BA. Sleep, epilepsy, and autism. Epilepsy Behav. 2015; 47:202-206.
DOI: 10.1016/j.yebeh.2014.09.081
McElhanon BO, McCracken C, Karpen S, Sharp WG. Gastrointestinal symptoms in autism spectrum disorder: a meta-analysis. Pediatrics. 2014;133:872-883.
DOI: 10.1542/peds.2013-3995
Simonoff E, Pickles A, Charman T, Chandler S, Loucas T, Baird G. Psychiatric disorders in children with autism spectrum disorders: prevalence, comorbidity, and associated factors in a population-derived sample. J Am Acad Child Adolesc Psychiatry. 2008;47:921-929.
DOI: 10.1097/CHI.0b013e318179964f
D'Cruz AM, Ragozzino ME, Mosconi MW, Shrestha S, Cook EH, Sweeney JA. Reduced behavioral flexibility in autism spectrum disorders. Neuropsychology. 2013;27:152-160.
DOI: 10.1037/a0031721
Marí-Bauset S, Llopis-González A, Zazpe-García I, Marí-Sanchis A, Morales-Suárez-Varela M. Nutritional status of children with autism spectrum disorders (ASDs): a case-control study. J Autism Dev Disord. 2015;45:203-212.
DOI: 10.1007/s10803-014-2205-8
Kawicka A, Regulska-Ilow B. How nutritional status, diet and dietary supplements can affect autism. A review. Rocz Panstw Zakl Hig. 2013;64:1-12.
Emond A, Emmett P, Steer C, Golding J. Feeding symptoms, dietary patterns, and growth in young children with autism spectrum disorders. Pediatrics. 2010;126:e337-342.
Souza NC, Mendonca JN, Portari GV, Jordao Junior AA, Marchini JS, Chiarello PG. Intestinal permeability and nutritional status in developmental disorders. Altern Ther Health Med. 2012;18:19-24.
Attlee A, Kassem H, Hashim M, Obaid RS. Physical Status and Feeding Behavior of Children with Autism. Indian J Pediatr. 2015;82:682-687.
DOI: 10.1007/s12098-015-1696-4
14Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320:1240-1243.
DOI: 10.1136/bmj.320.7244.1240
World Health Organization (WHO). Population-based approaches to childhood obesity prevention. 2012.
Weber DR, Leonard MB, Zemel BS. Body composition analysis in the pediatric population. Pediatr Endocrinol Rev. 2012;10:130-139.
Chan RS, Woo J. Prevention of overweight and obesity: how effective is the current public health approach. Int J Environ Res Public Health. 2010;7:765-783.
DOI: 10.3390/ijerph7030765
Shypailo RJ, Butte NF, Ellis KJ. DXA: can it be used as a criterion reference for body fat measurements in children? Obesity (Silver Spring). 2008; 16:457-462.
Jensky-Squires NE, Dieli-Conwright CM, Rossuello A, Erceg DN, McCauley S, Schroeder ET. Validity and reliability of body composition analysers in children and adults. Br J Nutr. 2008;100:859-865.
DOI: 10.1017/S0007114508925460
Talma H, Chinapaw MJ, Bakker B, HiraSing RA, Terwee CB, Altenburg TM. Bioelectrical impedance analysis to estimate body composition in children and adolescents: a systematic review and evidence appraisal of validity, responsiveness, reliability and measurement error. Obes Rev. 2013;14:895-905.
DOI: 10.1111/obr.12061
Selberg O, Selberg D. Norms and correlates of bioimpedance phase angle in healthy human subjects, hospitalized patients, and patients with liver cirrhosis. Eur J Appl Physiol.2002;86:509-516.
DOI: 10.1007/s00421-001-0570-4
Baumgartner RN, Chumlea WC, Roche AF. Bioelectric impedance phase angle and body composition. Am J Clin Nutr. 1998;48:16-23.
DOI: 10.1093/ajcn/48.1.16
Norman K, Stobäus N, Pirlich M, Bosy-Westphal A. Bioelectrical phase angle and impedance vector analysis-clinical relevance and applicability of impedance parameters. Clin Nutr. 2012;31:854-861.
DOI: 10.1016/j.clnu.2012.05.008
Ranjan S, Nasser JA. Nutritional Status of Individuals with Autism Spectrum Disorders: Do We Know Enough? Adv Nutr. 2015;6:397-407.
Hyman SL, Stewart PA, Schmidt B et al. Nutrient intake from food in children with autism. Pediatrics. 2012;130:S145-153.
Associação Brasileira de Empresas de Pesquisa - Critério de Classificação Econômica Brasil (ABEP). http://www.abep.org. Acessed 24 April 2014.
Rutter M. Autism research: prospects and priorities. J Autism Dev Disord. 1996;26:257-275.
DOI: 10.1007/BF02172023
Rutter M, Schopler E. Classification of pervasive developmental disorders: some concepts and practical considerations. J Autism Dev Disord. 1992;22:459-482.
DOI: 10.1007/BF01046322
Taylor RW, Jones IE, Williams SM, Goulding A. Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y. Am J Clin Nutr. 2000;72:490-495.
DOI: 10.1093/ajcn/72.2.490
McCarthy HD, Cole TJ, Fry T, Jebb SA, Prentice AM. Body fat reference curves for children. Int J Obes (Lond). 2006;30:598-602.
DOI: 10.1038/sj.ijo.0803232
Kuczmarski RJ, Ogden CL, Guo SS et al. 2000 CDC growth charts for the United States: Methods and development. National Center for Health Statistics. Vital Health Stat. 2002;11:246.
Centers for Disease Control and Prevention (CDC). (2000). Defining childhood overweight and obesity. http://www.cdc.gov/obesity/childhood/defining.html. Acessed 24 April 2015.
Barbosa-Silva MC, Barros AJ, Wang J, Heymsfield SB, Pierson RN. Bioelectrical impedance analysis: population reference values for phase angle by age and sex. Am J Clin Nutr. 2005;82:49-52.
DOI: 10.1093/ajcn/82.1.49
Kyle UG, Soundar EP, Genton L, Pichard C. Can phase angle determined by bioelectrical impedance analysis assess nutritional risk? A comparison between healthy and hospitalized subjects. Clin Nutr. 2012;31:875-881.
DOI: 10.1016/j.clnu.2012.04.002
Gadia C. Autism and pervasive developmental disorders. J pediatr (Rio J). 2004;80:S83-S94.
Gabis L, Pomeroy J, Andriola MR. Autism and epilepsy: cause, consequence, comorbidity, or coincidence? Epilepsy Behav. 2005;7:652-656.
Tuchman RF, Rapin I. Regression in pervasive developmental disorders: seizures and epileptiform electroencephalogram correlates. Pediatrics. 1997;99:560-566.
DOI: 10.1542/peds.99.4.560
Rapin I. Autistic regression and disintegrative disorder: how important the role of epilepsy? Semin Pediatr Neurol. 1995;2:278-285.
Hughes JR, Melyn M. EEG and seizures in autistic children and adolescents: further findings with therapeutic implications. Clin EEG Neurosci. 2005;36:15-20.
DOI: 10.1177/155005940503600105
Hinnell C, Williams J, Metcalfe A et al. Health status and health-related behaviors in epilepsy compared to other chronic conditions-a national population-based study. Epilepsia. 2010;51:853-861.
DOI: 10.1111/j.1528-1167.2009.02477.x
Pesquisa de orçamentos familiares: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil (POF). (2010). Rio de Janeiro, Brasil. www.ibge.gov.br. Acessed 10 April 2015.
Xia W, Zhou Y, Sun C, Wang J, Wu L. A preliminary study on nutritional status and intake in Chinese children with autism. Eur J Pediatr. 2010;169:1201-1206.
DOI: 10.1007/s00431-010-1203-x
Curtin C, Bandini LG, Perrin EC, Tybor DJ, Must, A. Prevalence of overweight in children and adolescents with attention deficit hyperactivity disorder and autism spectrum disorders: a chart review. BMC Pediatr. 2005;5:48.
DOI: 10.1186/1471-2431-5-48
Filho VC, Lopes AS, Fagundes RR, de Campos W. Anthropometric indices among schoolchildren from a municipality in Southern Brazil: a descriptive analysis using the LMS method. Rev Paul Pediatr. 2014;32:333-341.
DOI: 10.1016/j.rpped.2014.04.002
Andersen LB, Lauersen JB, Brønd JC et al. A new approach to define and diagnose cardiometabolic disorder in children. J Diabetes Res. 2015;539835.
Meguid NA, Kandeel WA, Wakeel KE, El-Nofely AA. Anthropometric assessment of a Middle Eastern group of autistic children. World J Pediatr. 2014;10:318-323.
DOI: 10.1007/s12519-014-0510-0
Golec J, Chlebna-Sokół D. Assessment of the influence of body composition on bone mass in children and adolescents based on a functional analysis of the muscle-bone relationship. Ortop Traumatol Rehabil. 2014;16:153-163.
Sluyter JD, Scragg RK, Plank LD, Waqa GD, Fotu KF, Swinburn BA. Sizing the association between lifestyle behaviours and fatness in a large, heterogeneous sample of youth of multiple ethnicities from 4 countries. Int J Behav Nutr Phys Act. 2013;10:115.
DOI: 10.1186/1479-5868-10-115
Boeke CE, Oken E, Kleinman KP, Rifas-Shiman SL, Taveras EM, Gillman MW. Correlations among adiposity measures in school-aged children. BMC Pediatr. 2013;13:99.
DOI: 10.1186/1471-2431-13-99
Zanini RV, Santos IS, Gigante DP, Matijasevich A, Barros FC, Barros AJ. Body composition assessment using DXA in six-year-old children: the 2004 Pelotas Birth Cohort, Rio Grande do Sul State, Brazil. Cad Saude Publica.2014;30:2123-2133.
DOI: 10.1590/0102-311X00153313
Kyle UG, Earthman CP, Pichard C, Coss-Bu JA. Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis. Eur J Clin Nutr. 2015;69:1298-305.
DOI: 10.1038/ejcn.2015.86

Artículos más populares

Revisión: Ayuno intermitente: efectos en diversos escenarios clínicos

Introducción: los esquemas de ayuno intermitente (...

Publicado: 2023-05-24

Trabajo Original: Body mass index and risk of inflammatory breast disease: a Mendelian randomization study

Introduction: in previous studies, obesity was ide...

Publicado: 2023-04-22

Revisión: Relación entre la dieta, aspectos nutricionales y la calidad del sueño en población pediátrica

.La relación entre la dieta y el sueño ha sido esc...

Publicado: 2023-06-08

Una cookie o galleta informática es un pequeño archivo de información que se guarda en su navegador cada vez que visita nuestra página web. La utilidad de las cookies es guardar el historial de su actividad en nuestra página web, de manera que, cuando la visite nuevamente, ésta pueda identificarle y configurar el contenido de la misma en base a sus hábitos de navegación, identidad y preferencias. Las cookies pueden ser aceptadas, rechazadas, bloqueadas y borradas, según desee. Ello podrá hacerlo mediante las opciones disponibles en la presente ventana o a través de la configuración de su navegador, según el caso. En caso de que rechace las cookies no podremos asegurarle el correcto funcionamiento de las distintas funcionalidades de nuestra página web. Más información en el apartado “POLÍTICA DE COOKIES” de nuestra página web.