Literature DB >> 15093150

Head size and intelligence, learning, nutritional status and brain development. Head, IQ, learning, nutrition and brain.

Daniza M Ivanovic1, Boris P Leiva, Hernán T Pérez, Manuel G Olivares, Nora S Díaz, María Soledad C Urrutia, Atilio F Almagià, Triana D Toro, Patricio T Miller, Enrique O Bosch, Cristián G Larraín.   

Abstract

This multifactorial study investigates the interrelationships between head circumference (HC) and intellectual quotient (IQ), learning, nutritional status and brain development in Chilean school-age children graduating from high school, of both sexes and with high and low IQ and socio-economic strata (SES). The sample consisted of 96 right-handed healthy students (mean age 18.0 +/- 0.9 years) born at term. HC was measured both in the children and their parents and was expressed as Z-score (Z-HC). In children, IQ was determined by means of the Wechsler Intelligence Scale for Adults-Revised (WAIS-R), scholastic achievement (SA) through the standard Spanish language and mathematics tests and the academic aptitude test (AAT) score, nutritional status was assessed through anthropometric indicators, brain development was determined by magnetic resonance imaging (MRI) and SES applying the Graffar modified method. Results showed that microcephalic children (Z-HC < or = 2 S.D.) had significantly lower values mainly for brain volume (BV), parental Z-HC, IQ, SA, AAT, birth length (BL) and a significantly higher incidence of undernutrition in the first year of life compared with their macrocephalic peers (Z-HC > 2S.D.). Multiple regression analysis revealed that BV, parental Z-HC and BL were the independent variables with the greatest explanatory power for child's Z-HC variance (r(2) = 0.727). These findings confirm the hypothesis formulated in this study: (1) independently of age, sex and SES, brain parameters, parental HC and prenatal nutritional indicators are the most important independent variables that determine HC and (2) microcephalic children present multiple disorders not only related to BV but also to IQ, SA and nutritional background.

Entities:  

Mesh:

Year:  2004        PMID: 15093150     DOI: 10.1016/j.neuropsychologia.2003.11.022

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  33 in total

Review 1.  Adaptation, expertise, and giftedness: towards an understanding of cortical, subcortical, and cerebellar network contributions.

Authors:  Leonard F Koziol; Deborah Ely Budding; Dana Chidekel
Journal:  Cerebellum       Date:  2010-12       Impact factor: 3.847

2.  Early cranial ultrasound lesions predict microcephaly at age 2 years in preterm infants.

Authors:  Kalpathy S Krishnamoorthy; Karl C K Kuban; T Michael O'Shea; Sjirk J Westra; Elizabeth N Allred; Alan Leviton
Journal:  J Child Neurol       Date:  2010-08-19       Impact factor: 1.987

3.  Epigenetic analysis of neurocognitive development at 1 year of age in a community-based pregnancy cohort.

Authors:  Julia Krushkal; Laura E Murphy; Frederick B Palmer; J Carolyn Graff; Thomas R Sutter; Khyobeni Mozhui; Collin A Hovinga; Fridtjof Thomas; Vicki Park; Frances A Tylavsky; Ronald M Adkins
Journal:  Behav Genet       Date:  2014-01-23       Impact factor: 2.805

4.  Neural precursor cell proliferation is disrupted through activation of the aryl hydrocarbon receptor by 2,3,7,8-tetrachlorodibenzo-p-dioxin.

Authors:  Sarah E Latchney; Daniel T Lioy; Ellen C Henry; Thomas A Gasiewicz; Frederick G Strathmann; Margot Mayer-Pröschel; Lisa A Opanashuk
Journal:  Stem Cells Dev       Date:  2010-08-31       Impact factor: 3.272

5.  Clinical Factors That Affect the Relationship between Head Circumference and Brain Volume in Very-Low-Birth-Weight Infants.

Authors:  Yukako Kawasaki; Taketoshi Yoshida; Mie Matsui; Akiko Hiraiwa; Satomi Inomata; Kentaro Tamura; Masami Makimoto; Kenichi Oishi
Journal:  J Neuroimaging       Date:  2018-09-10       Impact factor: 2.486

6.  School effects on non-verbal intelligence and nutritional status in rural Zambia.

Authors:  Sascha Hein; Mei Tan; Jodi Reich; Philip E Thuma; Elena L Grigorenko
Journal:  Learn Individ Differ       Date:  2015-04-25

7.  Early childhood growth and cognitive outcomes: Findings from the MAL-ED study.

Authors:  Rebecca J Scharf; Elizabeth T Rogawski; Laura E Murray-Kolb; Angelina Maphula; Erling Svensen; Fahmida Tofail; Muneera Rasheed; Claudia Abreu; Angel Orbe Vasquez; Rita Shrestha; Laura Pendergast; Estomih Mduma; Beena Koshy; Mark R Conaway; James A Platts-Mills; Richard L Guerrant; Mark D DeBoer
Journal:  Matern Child Nutr       Date:  2018-02-02       Impact factor: 3.092

8.  Head circumferences in twins with and without Autism Spectrum Disorders.

Authors:  Wendy Froehlich; Sue Cleveland; Andrea Torres; Jennifer Phillips; Brianne Cohen; Tiffany Torigoe; Janet Miller; Angie Fedele; Jack Collins; Karen Smith; Linda Lotspeich; Lisa A Croen; Sally Ozonoff; Clara Lajonchere; Judith K Grether; Joachim Hallmayer
Journal:  J Autism Dev Disord       Date:  2013-09

Review 9.  Pesticide exposure and neurodevelopmental outcomes: review of the epidemiologic and animal studies.

Authors:  Carol J Burns; Laura J McIntosh; Pamela J Mink; Anne M Jurek; Abby A Li
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2013       Impact factor: 6.393

10.  Socioeconomic status, anthropometric status, and psychomotor development of Kenyan children from resource-limited settings: a path-analytic study.

Authors:  Amina Abubakar; Fons Van de Vijver; Anneloes Van Baar; Leonard Mbonani; Raphael Kalu; Charles Newton; Penny Holding
Journal:  Early Hum Dev       Date:  2008-05-21       Impact factor: 2.079

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.