What can large population-based birth cohort study ask about past, present and future of children with disorders of development, learning and behaviour?
What can large population-based birth cohort study ask about past, present and future of children with disorders of development, learning and behaviour?
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DOI：
10.1136/jech-2016-208482
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发表时间：
2017-04-01
影响因子：
6.3
通讯作者：
Weaver, Amy L.
中科院分区：
文献类型：
--
作者：
Katusic, Slavica K.;Colligan, Robert C.;Weaver, Amy L.
一个由社区母亲所生的所有儿童组成的大型队列提供了对不同暴露的“自然”选择，是流行病学研究的强大资源。一个庞大的基于人口的出生队列，作为纵向医疗保健的一部分，已经记录了详细的系统信息，历史和当前的学校数据，详细的出生证数据以及出生队列每个成员的所有三种资源，是极其罕见的。我们的基于人口的出生队列包括1976年和2000年之间出生的所有儿童的母亲居住在奥姆斯特德县，明尼苏达州，在孩子出生时（N=39 890）。在本文中，我们提供了一份全面的报告，描述了该方法的识别，特征和纵向随访的每个孩子（和家庭成员）从出生队列，丰富的互补资源的数据和研究措施和设计（回顾性，结合回顾性/前瞻性）。在过去十年左右的时间里，我们获得了许多发育性学习和行为障碍（DLBD）（包括学习和注意力缺陷/多动障碍、智力残疾、言语语言障碍和自闭症谱系障碍）的发病率、潜在风险/保护因素、治疗、合并症、结局、成本/使用和潜在偏倚（始终进行评估和临床解释）的科学和临床需要的答案。许多与DLBD相关的当前和未来问题仍有待回答。奥姆斯特德县出生队列（OCBC）是一个全面的，当代流行病学研究模型的发展类似的研究基础设施的例子，其当前和未来的结果是重要的复制和与其他基于人口的回顾性和前瞻性出生队列研究的比较。
A large cohort consisting of all children born to mothers from community provides 'natural' selection into different exposures and is a powerful resource for epidemiological research. A large population-based birth cohort with detailed systematic information already recorded, as part of longitudinal medical care, historical and current school data, detailed birth certificate data and all three resources available for every member of the birth cohort, are extremely rare. Our population-based birth cohort consists of all children born between 1976 and 2000 to mothers residing in Olmsted County, Minnesota, at the time of child's birth (N=39 890). In this paper, we provide a comprehensive report of the method describing the identification, the characteristics and longitudinal follow-up of each child (and family members) from the birth cohort, wealth of complementary resources of data and study measures and designs (retrospective, combined retrospective/prospective). In the last decade or so, we obtained scientific and clinically needed answers for incidence rates, potential risk/protective factors, treatment, comorbidities, outcomes, cost/usage and potential biases (that are always assessed and clinically interpreted) of many developmental learning and behavioural disorders (DLBDs) including learning and attention-deficit/hyperactivity disorders, intellectual disability, speech-language impairment and autism spectrum disorder. Many current and future questions related to DLBDs are remaining to be answered. The Olmsted County Birth Cohort (OCBC) is an example of a comprehensive, contemporary epidemiological research model for the development of similar research infrastructures, and its current and future results are important for replication and comparison with other population-based retrospective and prospective birth cohort studies.