Understanding Risk Gradients from Environment on Native American Child Health Trajectories: Toxicants, Immunomodulation, Metabolic syndromes, & Metals Exposure

了解环境对美国原住民儿童健康轨迹的风险梯度：毒物、免疫调节、代谢综合征、

• 批准号: 10205869
• 负责人: Johnnye L Lewis
• 金额: $ 32.09万
• 依托单位: UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-21 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10205869
• 关键词: Address; Affect; African American; Birth; COVID-19; COVID-19 pandemic; Caregiver Burden; Caregivers; Child; Child Health; Child Rearing; Cities; Cohort Studies; Collection; Communities; Consent; Data; Data Collection; Data Set; Development; Disasters; Discrimination; Ensure; Environment; Family; Frequencies; Future; Government; Home environment; Indigenous; Infrastructure; Internet; Intervention; Knowledge; Life; Measures; Metabolic syndrome; Metal exposure; Methods; Minority; Native Americans; Native-Born; Natural experiment; Navajo; Needs Assessment; Outcome; Participant; Population; Preparation; Prevalence; Protocols documentation; Reproducibility; Research; Risk; Schools; Services; Site; South Dakota; Stress; System; Testing; Time; Training; Trauma; Visit; Vulnerable Populations; cohort; coronavirus disease; data exchange; data portal; experience; immunoregulation; infection rate; insight; member; mortality; neurodevelopment; non-Native; pandemic disease; racism; response; screening; social exclusion; stressor; success; toxicant

Project Summary Available knowledge about how stress in the home environment influences child neurodevelopment points to the importance of capturing time-sensitive data on major stressors, such as the COVID-19 pandemic, across the many populations represented in ECHO. The collective ECHO data offers insight into an unfortunate natural experiment on how such a major stress affects ECHO children and families. Understanding this will allow for better preparation to meet the needs of affected children as they re-enter school and community life, while helping to mitigate the impacts of similar stressors in future disasters affecting children. Minority and marginalized populations are representative of US population prevalence in ECHO, but the total number of any group within the 55,000 ECHO children may still be relatively small. For example, most Native American ECHO participants are in 2 cohorts, and represent fewer than 1500 of the 55,000 children in ECHO. It is conceivable that time-sensitive measures such as responses to ECHO will be captured in very few, or none, of the ECHO participants within marginalized populations most affected. This ECHO NOSI application examines the relative pandemic-induced stress across multiple cohorts differing with respect to marginalization, COVID-19 population prevalence, and experience with historical trauma/systemic racism. At present, this comparison includes the Navajo Birth Cohort Study/ECHO (NBCS/ECHO) cohort, the PASS ECHO cohorts (Indigenous and non-Indigenous populations in South Dakota), and the Atlanta ECHO cohort of urban Black participants. We propose three aims to address our overall hypothesis that pandemic-induced stress will be greatest in populations experiencing the greatest rates of infection and mortality, but exacerbated by historical trauma in Indigenous and Black populations. Aim 1 will ensure availability of time-sensitive data to test this hypothesis in the future; Aim 2 will expand the opportunities for remote and lay staff collection of neurodevelopmental data to ensure availability for testing the hypothesis, and Aim 3 will test and develop a reliable system for transfer of NBCS data to the DAC NBCS portal at greater frequency than is currently possible with infrastructure limits. This is the first study exploring the impact of increased stress across communities already affected by historical trauma and facing a disaster like COVID-19 to address whether collective stress affects long-term child neurodevelopment through changes in parenting and the home environment, and will ensure minority cohorts are represented in the time-sensitive datasets in sufficient numbers to evaluate and compare impacts to develop mitigation interventions, rather than simply by population proportional representation.

项目摘要 有关家庭环境中压力如何影响儿童神经发育的可用知识 捕获有关主要压力源的时间敏感数据的重要性，例如COVID-19大流行， Echo中代表的许多人群。集体回声数据提供了不幸的洞察力 关于这种重大压力如何影响回声儿童和家庭的自然实验。理解这一点 在重新进入学校和社区生活时，可以做好准备，以满足受影响儿童的需求， 同时帮助减轻对未来影响儿童的灾难中类似压力源的影响。少数派和 边缘化的人口代表了美国人口的流行，但任何人的总数 55,000个回声儿童中的小组可能仍然相对较小。例如，大多数美国原住民回声 参与者分为2个队列，在Echo的55,000名儿童中，参与者不到1500。这是可以想象的 时间敏感的措施（例如对回声的回应 边缘化人群中受影响最大的参与者。 该回声NOSI应用研究了多个队列中相对大流行引起的应力 关于边缘化，199人口流行和历史经验 创伤/系统性种族主义。目前，此比较包括Navajo出生队列研究/Echo （NBCS/ECHO）队列，Pass Echo队列（南部的土著和非土著人口 达科他州）和亚特兰大的城市黑人参与者队列。我们提出了三个目标，以解决我们的 总体假设，大流行引起的压力将是最大的人群中最大的假设 感染和死亡率的，但由于土著和黑人种群的历史创伤而加剧。目标1意志 确保对时间敏感的数据的可用性来检验未来的假设； AIM 2将扩展 远程和外行员工收集神经发育数据的机会，以确保测试可用性 假设和AIM 3将测试和开发可靠的系统，以将NBC数据传输到DAC NBCS 在基础架构限制时，门户的频率比当前可能更大。 这是第一个研究，探讨了已经受历史影响影响的社区增加压力的影响 创伤和面对像19 Covid-19这样的灾难，以解决集体压力是否影响长期儿童 神经发育通过育儿和家庭环境的变化，并将确保少数群体队列 以足够数量的时间来评估和比较影响的时间敏感数据集表示和比较 制定缓解干预措施，而不是通过人口比例表示。