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Nutritional status in children with intellectual disabilities based on anthropometric proile [Peril antropométrico en función del estado nutricional de niños con discapacidad intellectual]

dc.contributor.authorCossio-Bolaños M.
dc.contributor.authorVidal-Espinoza R.
dc.contributor.authorLagos-Luciano J.
dc.contributor.authorGómez-Campos R.
dc.date.accessioned2020-09-02T22:15:32Z
dc.date.available2020-09-02T22:15:32Z
dc.date.issued2015
dc.identifier10.1016/j.rchipe.2015.04.004
dc.identifier.citation86, 1, 18-24
dc.identifier.issn03704106
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4097
dc.descriptionIntroduction: Anthropometric variables such as weight, height and body length in children and adolescents with and without intellectual disabilities should be studied in connection with nutritional status, physical growth and biological maturation. Objective: a) to analyze the anthropometric proile based on nutritional status, b) to determine the prevalence of overweight and short stature c) to propose equations for predicting height from anthropometric variables. Methods: A total of 49 children and adolescents with intellectual disabilities, and from a special education school were studied (30 boys and 19 girls). Weight, height, trunk-cephalic height, forearm and foot length were evaluated. The calculation of nutritional status resulted in the establishment of nutritional categories: underweight, normal and overweight. Results: The anthropometric proile of males varies signiicantly when classiied according to nutritional categories (P<.05); however no variations were observed in the girls (P>.05). Also, high values of overweight prevalence were observed in both genders (43% of boys and 26% of girls). Variables such as age, weight, length of the forearm in females, and foot length in males are good predictors of height (R2 = 91-94% males and R2 = 87% females). Conclusions: A high percentage of overweight cases were observed; therefore, rigorous control and monitoring of nutritional status are suggested. The proposed regression equations could be an option in schools to easily and simply predict height. © 2014 Sociedad Chilena de Pediatría.
dc.language.isoes
dc.publisherSociedad Chilena de Pediatria
dc.subjectAnthropometry
dc.subjectIntellectual disability
dc.subjectNutritional status
dc.subjectSchool children
dc.subjectadolescent
dc.subjectanthropometric parameters
dc.subjectArticle
dc.subjectbody height
dc.subjectbody weight
dc.subjectchild
dc.subjectclinical article
dc.subjectfemale
dc.subjectfoot length
dc.subjectforearm length
dc.subjecthuman
dc.subjectintellectual impairment
dc.subjectmale
dc.subjectnutritional status
dc.subjectobesity
dc.subjectprevalence
dc.subjectschool
dc.subjecttrunk cephalic height
dc.subjectunderweight
dc.subjectanthropometry
dc.subjectcomplication
dc.subjectintellectual impairment
dc.subjectOverweight
dc.subjectphysiology
dc.subjectAdolescent
dc.subjectAnthropometry
dc.subjectBody Height
dc.subjectBody Weight
dc.subjectChild
dc.subjectFemale
dc.subjectHumans
dc.subjectIntellectual Disability
dc.subjectMale
dc.subjectNutritional Status
dc.subjectOverweight
dc.subjectPrevalence
dc.subjectThinness
dc.titleNutritional status in children with intellectual disabilities based on anthropometric proile [Peril antropométrico en función del estado nutricional de niños con discapacidad intellectual]
dc.typeArticle


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