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1.
Nutrition ; 57: 74-83, 2019 01.
Artigo em Inglês | MEDLINE | ID: mdl-30153583

RESUMO

OBJECTIVES: 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.


Assuntos
Antropometria/métodos , Avaliação Educacional/métodos , Avaliação Educacional/estatística & dados numéricos , Escolaridade , Estado Nutricional/fisiologia , Adolescente , Criança , Desenvolvimento Infantil , Chile , Feminino , Humanos , Masculino , Universidades
2.
PLoS One ; 14(2): e0212279, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30785935

RESUMO

The aim of this study was to quantitate the relative impact of nutritional, intellectual, brain development, cardiovascular risk, socio-economic, demographic and educational variables on the results of the 2009 Quality Education Measurement System (SIMCE) tests of language and mathematics for scholastic achievement (SA) applying a multifactorial approach, in school-age children of the 2010 5th elementary school grade (5ESG) and of the 1st grade of high school (1HSG). The purposes were: i) to test the hypothesis that intellectual ability, the level of SA of the educational establishments in the 2009 SIMCE tests, sex, parental schooling levels, and head circumference-for-age Z-score are the most relevant parameters associated with 2009 SIMCE outcomes; ii) to determine the predictive ability of the 2009 SIMCE results in determining the 2013 SIMCE outcomes for the 2010 5ESG cohort (when they graduated from elementary school, 8th grade) and for determining the 2013 University Selection Test (PSU) outcomes for the 2010 1HSG group (for university admission, when they graduated from high school, 4th grade); iii) to determine the association between the 2009 SIMCE results with the 2017 PSU outcomes for the 2010 5ESG group (for university admission, when they graduated from high school, 4th grade). A representative, proportional and stratified sample of 33 schools of the Metropolitan Region of Chile was randomly chosen. In these schools, 1,353 school-age children of both sexes, of the 2010 5ESG (n = 682; mean age = 10.8 years, SD = 0.6) and of the 2010 1HSG (n = 671; mean age = 14.8 years, SD = 0.6) participated. In both grades and tests, the findings confirm the hypotheses formulated. 2009 SIMCE outcomes were positively and significantly associated with 2013 SIMCE and with 2017 PSU and, with 2013 PSU outcomes in school-age children from 2010 5ESG and 1HSG, respectively. These findings may be useful for educational and health planning in Chile and countries in a comparable stage of development.


Assuntos
Sucesso Acadêmico , Desenvolvimento do Adolescente , Encéfalo/crescimento & desenvolvimento , Desenvolvimento Infantil , Estado Nutricional , Adolescente , Criança , Chile , Feminino , Seguimentos , Humanos , Masculino , Fatores Socioeconômicos
3.
Obes Facts ; 11(5): 344-359, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-30308520

RESUMO

OBJECTIVE: The aim of this study was to assess the association between overnutrition and scholastic achievement (SA). METHODS: A representative and proportional sample of 477 children of the 5th elementary school grade of both genders was randomly chosen during 2010, in the Metropolitan Region of Chile. SA was measured through the 2009 Education Quality Measurement System (SIMCE) tests of language (LSA), mathematics (MSA) and understanding of the natural environment (UNESA). Current nutritional status was assessed through the body mass index Z-score (Z-BMI). Nutritional quality of diet, schedule exercise, socioeconomic status, family, and educational variables were also recorded. Four and 8 years later, SA was assessed through the 2013 SIMCE and the University Selection Test (2017 PSU), respectively. RESULTS: Socioeconomic status, the number of repeated school years, and maternal schooling were strong predictors of 2009 SIMCE and the independent variables with the greatest explanatory power for LSA (Model R2 = 0.178; p < 0.00001) variances, besides of gender for MSA (Model R2 = 0.205; p< 0.00001) and UNESA (Model R2 = 0.272; p < 0.00001). Overnourished children did not have significantly lower 2009 and 2013 SIMCE and 2017 PSU outcomes. CONCLUSIONS: These results confirm that overnourished children did not achieve significantly lower SA.


Assuntos
Escolaridade , Hipernutrição/epidemiologia , Adolescente , Índice de Massa Corporal , Criança , Chile/epidemiologia , Estudos Transversais , Feminino , Seguimentos , Humanos , Masculino , Estado Nutricional , Classe Social , Fatores Socioeconômicos , Fatores de Tempo
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