MCN Am J Matern Child Nurs. 2021;46(4):230-235. doi: 10.1097/NMC.0000000000000725.
The objective of this study was to characterize the study designs, recruitment strategies, and other study characteristics among cohorts that initiated during pregnancy as part of the Environmental influences on Child Health Outcomes (ECHO) program.
ECHO research programs (cohorts) were reviewed. Only those who had or were currently recruiting during pregnancy were surveyed in 2018 about research recruitment strategies (participant incentives, study burden, community collaboration, and cultural adaptations). Data are presented with cohort characteristics (location, inclusion and exclusion criteria, sociodemographics, medical information, behavioral factors, and biospecimens).
Forty-seven of the 84 ECHO pediatric cohorts recruited during pregnancy. Findings demonstrate various recruitment strategies, domains of data collection, and biospecimen collection are all characteristics of successful cohorts.
These data that include over 50,000 children from families across the country, many in underserved areas, will be used for research with the potential to lead to profound policy changes. Prenatal conditions such as maternal age, obesity, depression, and drug use can be examined using study data, including biological markers, from pregnancy through childbirth and into childhood and will inform national policies on the role of early life exposures and underlying mechanisms of disease progression.
本研究旨在描述作为环境对儿童健康结果影响（ECHO）计划一部分，在怀孕期间启动的队列研究的设计、招募策略和其他研究特征。
对 ECHO 研究项目（队列）进行了回顾。仅对那些在 2018 年怀孕期间有或正在招募的队列进行了关于研究招募策略（参与者激励、研究负担、社区合作和文化适应）的调查。数据与队列特征（地点、纳入和排除标准、社会人口统计学、医疗信息、行为因素和生物样本）一起呈现。
84 个 ECHO 儿科队列中有 47 个在怀孕期间招募。研究结果表明，各种招募策略、数据收集领域和生物样本收集都是成功队列的特征。
这些数据包括来自全国各地家庭的 5 万多名儿童，其中许多来自服务不足的地区，将用于研究，有可能导致深远的政策变化。可以使用研究数据（包括来自怀孕到分娩以及儿童期的生物标志物）来检查母亲年龄、肥胖、抑郁和药物使用等产前状况，并为国家政策提供有关早期生活暴露和疾病进展的潜在机制的信息。
