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Can toddlers' diets influence cognitive development?

机译:幼儿的饮食会影响认知能力吗?

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There is a widespread assumption that what children consume in the early years has an effect on their cognitive development, but beyond the well-documented benefits of breast-milk, there are surprisingly few hard data. Long-term outcomes at age 10 are reported in a prospective cohort study from Western Australia (Nyaradi et al. Acta Paed 2013;102:1165-73). The Raine study recruited women antenatally for what was originally an investigation into the effects of repeated ultrasound scans, but the cohort data gathered proved invaluable for this very different purpose. The investigators developed an Eating Assessment in Toddlers (EAT) score, which required mothers to record everything their child had consumed in one 24-h period. This was done at 1, 2 and 3 years of age. The dietary data was analysed and scored for type and general quality of food and drink, rather than specific nutrient content. Then at age 10 years, each child performed two tests: the Peabody Picture Vocabulary Test III (PPVT-III) and the Raven's Coloured Progressive Matrices (RCPM), both of which have been shown to correlate well to other measures of verbal and non-verbal cognitive skills respectively. The investigators went to considerable lengths to include data on potential confounding factors, and then use these in subsequent mulivariate analysis: these included breastfeeding duration, maternal age and educational level, measures of maternal mental health, presence of a father at home, family income, reading to the child, and gender.
机译:有一个广泛的假设,即儿童早年食用的东西会影响他们的认知发育,但是除了有据可查的母乳好处之外,令人惊讶的是,几乎没有硬数据。西澳大利亚州的一项前瞻性队列研究报告了10岁时的长期结局(Nyaradi等人,Acta Paed 2013; 102:1165-73)。 Raine的研究是在产前招募妇女的,最初是对重复超声扫描的影响进行调查,但事实证明,收集的队列数据对于这一非常不同的目的而言是无价的。研究人员制定了“幼儿饮食评估”(EAT)评分标准,要求母亲记录孩子在24小时内食用的所有食物。这是在1、2和3岁时完成的。分析饮食数据,并对食物和饮料的类型和总体质量进行评分,而不是对特定营养成分进行评分。然后,在10岁时,每个孩子都进行了两项测试:皮博迪图片词汇测试III(PPVT-III)和乌鸦色进阶矩阵(RCPM),这两种测试均已证明与口头和非口头测验的其他测验密切相关语言认知能力。研究人员竭尽全力将潜在混杂因素的数据包括在内,然后将其用于随后的多变量分析:这些因素包括母乳喂养时间,产妇年龄和受教育程度,孕产妇心理健康状况,父亲在家中的身分,家庭收入,给孩子读书,以及性别。

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