Early life predictors of childhood intelligence: findings from the Mater-University study of pregnancy and its outcomes

被引:94
作者
Lawlor, DA
Najman, JM
Batty, GD
O'Callaghan, MJ
Williams, GM
Bor, W
机构
[1] Univ Bristol, Dept Social Med, Bristol BS8 2PR, Avon, England
[2] Univ Queensland, Sch Populat Hlth, Brisbane, Qld, Australia
[3] Univ Queensland, Sch Social Sci, Brisbane, Qld, Australia
[4] Mater Childrens Hosp, Child Dev Serv, Brisbane, Qld, Australia
[5] Mater Childrens Hosp, Rehabil Serv, Brisbane, Qld, Australia
[6] Univ Glasgow, MRC, Social & Publ Hlth Sci Unit, Glasgow, Lanark, Scotland
[7] Univ Edinburgh, Dept Psychol, Edinburgh, Midlothian, Scotland
基金
英国医学研究理事会; 英国惠康基金;
关键词
childhood intelligence; IQ determinants; Mater-University study;
D O I
10.1111/j.1365-3016.2006.00704.x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 fan-Lily 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.
引用
收藏
页码:148 / 162
页数:15
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