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Authordc.contributor.authorIvanovic, Daniza M. 
Authordc.contributor.authorValenzuela, Rodrigo 
Authordc.contributor.authorAlmagià, Atilio 
Authordc.contributor.authorBarrera, Cynthia 
Authordc.contributor.authorArancibia, Violeta 
Authordc.contributor.authorLarraín, Cristián 
Authordc.contributor.authorSilva, Claudio 
Authordc.contributor.authorBilleke, Pablo 
Authordc.contributor.authorZamorano, Francisco 
Authordc.contributor.authorVillagrán, Francisca 
Authordc.contributor.authorOrellana, Yasna 
Authordc.contributor.authorMartínez, Víctor 
Admission datedc.date.accessioned2019-05-31T15:33:59Z
Available datedc.date.available2019-05-31T15:33:59Z
Publication datedc.date.issued2019
Cita de ítemdc.identifier.citationNutrition, Volumen 57, 2019, Pages 74-83
Identifierdc.identifier.issn18731244
Identifierdc.identifier.issn08999007
Identifierdc.identifier.other10.1016/j.nut.2018.05.035
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169692
Abstractdc.description.abstractObjectives Scholastic achievement (SA) is a multifactorial problem that depends on factors related to the child, the child's family, and the educational system. The aim of this study was to quantify the relative impact of significant variables at the beginning of high school during 2010 (first grade of high school [1 HSG]) on 2013 university selection test (Prueba de Seleccion Universitaria [PSU]) outcomes, both in language scholastic achievement (LSA) and mathematics scholastic achievement (MSA), when students graduated from high school (4 HSG). This was done at the time of university admission with a multicausal approach. The purpose was to confirm the hypothesis that the level of educational establishment SA, intellectual ability, sex, parental schooling levels, and head circumference for age Z-score at the onset of high school are the most relevant parameters associated with 2013 PSU outcomes, both in LSA and MSA. Methods A representative, proportional, and stratified sample of 671 children of both sexes who enrolled in 1 HSG in 2010 (mean age: 14.8 ± 0.6 y) participated in the study. Nutritional, intellectual, brain developmental, cardiovascular risk, socio-to-economic, demographic, and educational variables were quantitated. SA was assessed at 4 HSG with the 2013 PSU tests. Data were analyzed with SAS software. Results Educational establishment SA, intellectual ability, maternal schooling, and age Z-score were the most relevant parameters to explain LSA (R2 = 0.493; P < 0.0001) and MSA variance in addition to sex (male), but only in MSA (R2 = 0.600; P < 0.0001). Conclusions These findings confirm the hypothesis and can be useful to support nutritional, health, and educational planning.
Lenguagedc.language.isoen
Publisherdc.publisherElsevier Inc.
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceNutrition
Keywordsdc.subjectBrain development
Keywordsdc.subjectHead circumference
Keywordsdc.subjectIntelligence
Keywordsdc.subjectMaternal educational status
Keywordsdc.subjectNutritional status
Keywordsdc.subjectSchool age population
Keywordsdc.subjectSchool health
Títulodc.titleImpact of anthropometric nutritional parameters on the university selection test in Chile: A multifactorial approach
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorjmm
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile