Early life predictors of childhood intelligence: findings from the Mater-University study of pregnancy and its outcomes
Article first published online: 7 FEB 2006
Paediatric and Perinatal Epidemiology
Volume 20, Issue 2, pages 148–162, March 2006
How to Cite
Lawlor, D. A., Najman, J. M., Batty, G. D., O'Callaghan, M. J., Williams, G. M. and Bor, W. (2006), Early life predictors of childhood intelligence: findings from the Mater-University study of pregnancy and its outcomes. Paediatric and Perinatal Epidemiology, 20: 148–162. doi: 10.1111/j.1365-3016.2006.00704.x
- Issue published online: 7 FEB 2006
- Article first published online: 7 FEB 2006
- childhood intelligence;
- IQ determinants;
- Mater-University study
Lawlor DA, Najman JM, Batty GD, O’Callaghan MJ, Williams GM, Bor W. Early life predictors of childhood intelligence: findings from the Mater-University study of pregnancy and its outcomes. Paediatric and Perinatal Epidemiology 2006; 20: 148–162.
Growing evidence linking childhood intelligence with adult health outcomes suggests a need to identify predictors of this psychological characteristic. In this study, we have examined the early life determinants of childhood intelligence in a population-based birth cohort of individuals born in Brisbane, Australia between 1981 and 1984. In univariable analyses, family income in the year of birth, maternal and paternal education, maternal age at birth, maternal ethnicity, maternal smoking during pregnancy, duration of labour, birthweight, breast feeding and childhood height, and body mass index were all associated with intelligence at age 14. In multivariable analyses, the strongest and most robust predictors of intelligence were family income, parental education and breast feeding, with these three variables explaining 7.5% of the variation in intelligence at age 14. Addition of other variables added little further explanatory power. Our results demonstrate the importance of indicators of socio-economic position as predictors of intelligence, and illustrate the need to consider the role of such factors in generating the association of childhood intelligence with adult disease risk.