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 关于家庭环境中的压力如何影响儿童神经发育的现有知识指出 捕获有关主要应激源的时间敏感数据的重要性，例如新冠肺炎大流行 在Echo中代表的许多种群。收集的ECHO数据提供了对不幸的 关于这种主要压力如何影响儿童和家庭的自然实验。理解这一意愿 允许更好的准备，以满足受影响儿童重新进入学校和社区生活的需要， 同时帮助减轻类似应激源在未来影响儿童的灾难中的影响。少数族裔和 被边缘化的人口是美国人口流行率的代表，但任何 在55,000名Echo儿童中，群体可能仍然相对较小。例如，大多数美洲原住民的回声 参与者分成两组，在ECHO的55,000名儿童中，他们代表的不到1500人。这是可以想象的 时间敏感的测量，例如对回声的响应，将在很少的回声中被捕捉到，或者没有被捕捉到 受影响最大的边缘人群中的参与者。 该ECHO NOSI应用程序检查了不同队列中由大流行引起的相对压力。 关于边缘化、新冠肺炎人口盛行以及历史经验 创伤/系统性种族主义。目前，这一比较包括纳瓦霍出生队列研究/回声 (NBCS/ECHO)队列，PASS ECHO队列(南方土著和非土著居民 达科他州)，以及亚特兰大回声城市黑人参与者队列。我们提出三个目标来解决我们的 大流行引发的压力在经历最高发病率的人群中最大的总体假设 这对感染和死亡率的影响很大，但土著和黑人人口的历史创伤加剧了这种影响。目标1将 确保在未来提供时间敏感的数据来测试这一假设；Aim 2将扩展 远程和非专业工作人员收集神经发育数据的机会，以确保测试的可用性 假设，目标3将测试和开发一个可靠的系统，用于将NBCS数据传输到DAC NBCS 门户的频率比目前在基础设施限制下可能达到的频率更高。 这是第一项探索压力增加对已经受到历史影响的社区的影响的研究 并面临像新冠肺炎这样的灾难，以解决集体压力是否会影响长期儿童 通过改变父母教养方式和家庭环境来促进神经发展，并将确保少数族裔群体 在对时间敏感的数据集中以足够的数量表示，以便评估和比较影响 制定缓解干预措施，而不是简单地通过人口比例代表制。