Lawlor Debbie A, Najman Jake M, Batty G David, O'Callaghan Michael J, Williams Gail M, Bor William
Department of Social Medicine, University of Bristol, Bristol, UK.
Paediatr Perinat Epidemiol. 2006 Mar;20(2):148-62. doi: 10.1111/j.1365-3016.2006.00704.x.
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.
越来越多的证据表明儿童智力与成人健康结果之间存在联系,这表明有必要确定这一心理特征的预测因素。在本研究中,我们调查了1981年至1984年出生于澳大利亚布里斯班的一个基于人群的出生队列中儿童智力的早期生活决定因素。在单变量分析中,出生年份的家庭收入、父母的教育程度、母亲的生育年龄、母亲的种族、母亲孕期吸烟情况、分娩时长、出生体重、母乳喂养以及儿童期身高和体重指数均与14岁时的智力相关。在多变量分析中,智力最强且最可靠的预测因素是家庭收入、父母教育程度和母乳喂养,这三个变量解释了14岁时智力差异的7.5%。添加其他变量几乎没有增加更多的解释力。我们的结果证明了社会经济地位指标作为智力预测因素的重要性,并说明了有必要考虑这些因素在儿童智力与成人疾病风险关联中所起的作用。