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Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach
BACKGROUND: Childhood intelligence is an important determinant of health outcomes in adulthood. The first years of life are critical to child development. This study aimed to identify early life (perinatal and during the first year of life) predictors of low cognitive performance at age 6. METHODS:...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4272809/ https://www.ncbi.nlm.nih.gov/pubmed/25510879 http://dx.doi.org/10.1186/s12887-014-0308-1 |
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author | Camargo-Figuera, Fabio Alberto Barros, Aluísio JD Santos, Iná S Matijasevich, Alicia Barros, Fernando C |
author_facet | Camargo-Figuera, Fabio Alberto Barros, Aluísio JD Santos, Iná S Matijasevich, Alicia Barros, Fernando C |
author_sort | Camargo-Figuera, Fabio Alberto |
collection | PubMed |
description | BACKGROUND: Childhood intelligence is an important determinant of health outcomes in adulthood. The first years of life are critical to child development. This study aimed to identify early life (perinatal and during the first year of life) predictors of low cognitive performance at age 6. METHODS: A birth cohort study started in the city of Pelotas, southern Brazil, in 2004 and children were followed from birth to age six. Information on a broad set of biological and social predictors was collected. Cognitive ability—the study outcome—was assessed using the Wechsler Intelligence Scale for Children (WISC). IQ scores were standardized into z-scores and low IQ defined as z < −1. We applied bootstrapping methods for internal validation with a multivariate logistic regression model and carried out external validation using a second study from the 1993 Pelotas Birth Cohort. RESULTS: The proportion of children with IQ z-score < −1 was 16.9% (95% CI 15.6–18.1). The final model included the following early life variables: child’s gender; parents’ skin color; number of siblings; father’s and mother’s employment status; household income; maternal education; number of persons per room; duration of breastfeeding; height-for-age deficit; head circumference-for-age deficit; parental smoking during pregnancy; and maternal perception of the child’s health status. The area under the ROC curve for our final model was 0.8, with sensitivity of 72% and specificity of 74%. Similar results were found when testing external validation by using data from the 1993 Pelotas Birth Cohort. CONCLUSIONS: The study results suggest that a child’s and her/his family’s social conditions are strong predictors of cognitive ability in childhood. Interventions for promoting a healthy early childhood development are needed targeting children at risk of low IQ so that they can reach their full cognitive potential. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12887-014-0308-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4272809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42728092014-12-22 Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach Camargo-Figuera, Fabio Alberto Barros, Aluísio JD Santos, Iná S Matijasevich, Alicia Barros, Fernando C BMC Pediatr Research Article BACKGROUND: Childhood intelligence is an important determinant of health outcomes in adulthood. The first years of life are critical to child development. This study aimed to identify early life (perinatal and during the first year of life) predictors of low cognitive performance at age 6. METHODS: A birth cohort study started in the city of Pelotas, southern Brazil, in 2004 and children were followed from birth to age six. Information on a broad set of biological and social predictors was collected. Cognitive ability—the study outcome—was assessed using the Wechsler Intelligence Scale for Children (WISC). IQ scores were standardized into z-scores and low IQ defined as z < −1. We applied bootstrapping methods for internal validation with a multivariate logistic regression model and carried out external validation using a second study from the 1993 Pelotas Birth Cohort. RESULTS: The proportion of children with IQ z-score < −1 was 16.9% (95% CI 15.6–18.1). The final model included the following early life variables: child’s gender; parents’ skin color; number of siblings; father’s and mother’s employment status; household income; maternal education; number of persons per room; duration of breastfeeding; height-for-age deficit; head circumference-for-age deficit; parental smoking during pregnancy; and maternal perception of the child’s health status. The area under the ROC curve for our final model was 0.8, with sensitivity of 72% and specificity of 74%. Similar results were found when testing external validation by using data from the 1993 Pelotas Birth Cohort. CONCLUSIONS: The study results suggest that a child’s and her/his family’s social conditions are strong predictors of cognitive ability in childhood. Interventions for promoting a healthy early childhood development are needed targeting children at risk of low IQ so that they can reach their full cognitive potential. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12887-014-0308-1) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-16 /pmc/articles/PMC4272809/ /pubmed/25510879 http://dx.doi.org/10.1186/s12887-014-0308-1 Text en © Camargo-Figuera et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Camargo-Figuera, Fabio Alberto Barros, Aluísio JD Santos, Iná S Matijasevich, Alicia Barros, Fernando C Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach |
title | Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach |
title_full | Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach |
title_fullStr | Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach |
title_full_unstemmed | Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach |
title_short | Early life determinants of low IQ at age 6 in children from the 2004 Pelotas Birth Cohort: a predictive approach |
title_sort | early life determinants of low iq at age 6 in children from the 2004 pelotas birth cohort: a predictive approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4272809/ https://www.ncbi.nlm.nih.gov/pubmed/25510879 http://dx.doi.org/10.1186/s12887-014-0308-1 |
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