Assessment of nutritional status and cardiometabolic risk using anthropometric health variables in chilean schoolchildren with diverse disabilities

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datacite.alternateIdentifier.citationJournal of Physical Education and Sport Vol. 18, N° 3, 1518-1523, 2018
datacite.alternateIdentifier.doi10.7752/jpes.2018.03224es_ES
datacite.creatorCresp Barría, Mauricio
datacite.creatorMachuca Barria, Claudia
datacite.creatorGarcía Hormazabal, Ricardo
datacite.creatorCaamaño, Felipe
datacite.creatorCarter Thuillier, Bastián
datacite.creatorOjeda Nahuelcura, Rodrigo
datacite.creatorHernández Mosqueira, Claudio
datacite.creatorFilho, José
datacite.date2018
datacite.date.issued2019-08-23
datacite.subjectEvaluación Nutricionales_ES
datacite.subjectNiños escolaridades_ES
datacite.subjectDiscapacidades_ES
datacite.subjectNutritional assessment
datacite.subjectDisability
datacite.subjectSchoolchildren
datacite.titleAssessment of nutritional status and cardiometabolic risk using anthropometric health variables in chilean schoolchildren with diverse disabilitieses_ES
dc.date.accessioned2019-08-23T15:28:31Z
dc.date.available2019-08-23T15:28:31Z
dc.description.abstractTo describe and relate anthropometric evaluations used in the Health Science and physical education disciplines to detect relative risk of waist, cardiometabolic risk and prevalence of obesity or overweight, in schools in Temuco, Chile. These school house children with special educational needs. The study compares Gender and; a) Intellectual disability (ID), b) Motor disability (DM), c) Generalized Developmental Disorder (PDD), d) Cerebral palsy (PC). The participants correspond to schoolchildren n = 156 total, Women n = 50 (age 13,78 + 5,41) and Men n = 106 (13,09 + 5,57). The cardiometabolic risk was estimated by waist-hip index (ICC) and conicity index (CI), waist circumference (CCI) and hip (CCa). Nutritional status was estimated by body mass index (BMI). Student's t test was used for the parametric variables between two groups, and the Mann-Whitney U test were used for nonparametric variables. For the comparison of the parametric variables between more than two groups Anova was used. In the case of nonparametric variables, the Kruskal Wallis test was used. Schoolchildren with intellectual disabilities had statistically higher values in weight, BMI, waist and hip (p <0.05). The women showed high values of BMI, waist and relative waist risk (p <0.05). 44, 23% of schoolchildren had excessive malnutrition, 53, 8% had a relative risk of abdominal obesity. Conclusion associating anthropometric variables is an economic and effective health predicting tool in any type of study population. It can be used to make decisions in future food prescription or exercise therapy programs in order to avoid childhood obesity and improve the quality of life in individuals with disabilities.es_ES
dc.formatPDFes_ES
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/1986
dc.language.isoeses_ES
dc.rightsObra bajo licencia Creative Commons Atribución-NoComercial-SinDerivadas 3.0
dc.sourceJournal of Physical Education and Sportes_ES
oaire.resourceTypeArtículo de Revistaes_ES
uct.catalogadormlmes_ES
uct.comunidadCiencias de la Saludes_ES
uct.disciplinaCiencias de la Saludes_ES
uct.facultadFacultad de Ciencias de la Salud
uct.indizacionSCOPUSes_ES
uct.indizacionDOAJ
uct.indizacionEBSCO
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