Literature DB >> 25281694

The association of high birth weight with intelligence in young adulthood: a cohort study of male siblings.

Petter Kristensen, Ezra Susser, Lorentz M Irgens, Ingrid Sivesind Mehlum, Karina Corbett, Tor Bjerkedal.   

Abstract

We aimed to explore why, in population studies, the positive association between normal-range birth weight and intelligence becomes negative at the highest birth weights. The study population comprised 217,746 Norwegian male singletons born at term between 1967 and 1976. All had data on birth weight and intelligence quotient (IQ) score at the time of military conscription; 137,574 had data on sibling birth weights; and 62,906 had data on male sibling birth weights. We estimated associations between birth weight and IQ score by ordinary least squares regression for the total study population and by fixed-effects regression for comparisons of brothers. The crude mean IQ score was 1.2 points (95% confidence interval (CI): 0.3, 2.2) lower for those with birth weights of 5,000 g or more compared with the reference group (with birth weights of 4,000-4,499 g). This difference leveled off to 0.0 (95% CI: -0.8, 0.9) in multivariable ordinary least squares regression and reversed to 2.2 points (95% CI: 0.3, 4.2) higher in fixed-effects regression. Results differed mainly because, at a given birth weight, participants who had a sibling with macrosomia had a lower mean IQ score. Nevertheless, within families with 1 or more macrosomic siblings, as in other families, men with higher birth weights tended to have higher IQ scores. Thus, a family-level confounder introduces a cross-level bias that cannot be detected in individual-level studies. We suggest ways in which future studies might elucidate the nature of this confounder.
© The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Norway; birth weight; cross-level bias; fetal macrosomia; intelligence; multilevel analysis; siblings

Mesh:

Year:  2014        PMID: 25281694     DOI: 10.1093/aje/kwu241

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  5 in total

1.  Mendelian randomization suggests that head circumference, but not birth weight and length, associates with intelligence.

Authors:  Li Qian; Fengjie Gao; Bin Yan; Lihong Yang; Wei Wang; Ling Bai; Xiancang Ma; Jian Yang
Journal:  Brain Behav       Date:  2021-05-10       Impact factor: 2.708

2.  High birth weight and perinatal mortality among siblings: A register based study in Norway, 1967-2011.

Authors:  Petter Kristensen; Katherine M Keyes; Ezra Susser; Karina Corbett; Ingrid Sivesind Mehlum; Lorentz M Irgens
Journal:  PLoS One       Date:  2017-02-28       Impact factor: 3.240

3.  Differences and secular trends in childhood IQ trajectories in Guatemala City.

Authors:  Liina Mansukoski; Barry Bogin; J Andres Galvez-Sobral; Luis Furlán; William Johnson
Journal:  Intelligence       Date:  2020 May-Jun

4.  The Association Between High Birth Weight and Long-Term Outcomes-Implications for Assisted Reproductive Technologies: A Systematic Review and Meta-Analysis.

Authors:  Åsa Magnusson; Hannele Laivuori; Anne Loft; Nan B Oldereid; Anja Pinborg; Max Petzold; Liv Bente Romundstad; Viveca Söderström-Anttila; Christina Bergh
Journal:  Front Pediatr       Date:  2021-06-23       Impact factor: 3.418

5.  Mechanism associated with aberrant lncRNA MEG3 expression in gestational diabetes mellitus.

Authors:  Hailing Zhang
Journal:  Exp Ther Med       Date:  2019-09-27       Impact factor: 2.447

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.