The Impact of Unconventional Natural Gas Development on Maternal, Perinatal, and Childhood Health: an Electronic Health Record Approach

非常规天然气开发对孕产妇、围产期和儿童健康的影响：电子健康记录方法

• 批准号: 10200037
• 负责人: Joan A Casey
• 金额: $ 24.9万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10200037
• 关键词: Acute respiratory infection; Address; Affect; Age; Air; Air Pollutants; Air Pollution; Anxiety; Asthma; Award; Biological Models; Birth; Birth Weight; Caring; Catchment Area; Chemicals; Child; Child Care; Child Health; Childhood; Childhood Asthma; Chronic; Code; Cohort Studies; Complex; Data; Data Collection; Development; Diagnosis; Electronic Health Record; Environment; Environmental Epidemiology; Environmental Exposure; Environmental Health; Environmental Policy; Environmental Risk Factor; Exposure to; Geographic Information Systems; Geography; Gestational Diabetes; Goals; Health; Health system; Healthcare Systems; Hospitals; Hypertension; Infant Care; Inflammation; Injury; Institution; Interdisciplinary Study; Irritants; Joints; Link; Logistics; Longevity; Maternal Health; Maternal and Child Health; Measures; Mediating; Mediation; Mediator of activation protein; Mental Depression; Methods; Mission; Modeling; Mothers; National Institute of Environmental Health Sciences; Natural Gas; Nature; Neonatal; Outcome; Outcome Study; Particulate Matter; Pathway interactions; Pennsylvania; Perinatal; Phase; Policies; Policy Making; Population Heterogeneity; Poverty; Pregnancy; Premature Birth; Primary Health Care; Production; Psychological Stress; Public Health; Questionnaires; Race; Reading; Reporting; Research; Respiratory System; Risk Factors; Sleep Disorders; Socioeconomic Status; Stress; Technology; Term Birth; Time; Training; Work; adverse birth outcomes; air monitoring; air sampling; apprenticeship; asthma exacerbation; base; bioinformatics tool; career; data mining; design; early childhood; electronic data; elementary school; environmental stressor; epidemiology study; experience; experimental study; health data; improved; in utero; neonatal health; pediatric patients; population health; psychosocial; respiratory; respiratory health; skills; social; social determinants; social factors; social stress; social stressor; stressor; study population; text searching; volatile organic compound

PROJECT SUMMARY/ABSTRACT Recent studies have linked unconventional natural gas development (UNGD) to adverse birth outcomes. The relative contributions of specific risk factors, such as related air pollutants, socioeconomic status, and maternal health during pregnancy, however, remain unclear, as do the consequences of UNGD for childhood health. The objective of this K99/R00 application is to use UNGD in Pennsylvania as a model system–because it repre- sents a rapid, widespread social experiment with chemical and psychosocial exposures and as well as communi- ty changes–to disentangle the effects of environmental and social co-exposures on maternal, neonatal, and child health. The proposed project will link UNGD activity to mothers' electronic health records (EHRs) in combination with primary data collected by questionnaires, passive air samplers, and geographic information systems. EHR data are particularly well suited for environmental health research because they provide inexpensive access to longitudinal health data on large and diverse populations (i.e., in terms of age, socioeconomic status, race, and geography). Considerable logistical and analytic skills are required to optimize use of EHR data, supplement it with primary data collection, and complete causal analyses. The K99 is designed to augment the candidate's prior research experience through coursework, apprenticeships in environmental epidemiology, and directed readings, with specific training in: (1) maternal and child health; (2) EHR text mining; (3) causal mediation analysis; (4) primary data collection; and (5) analysis of co-exposures. The skills gained during this award are critical to the long-term goal to use EHR data from multiple healthcare systems to conduct environmental epi- demiology studies across the lifecourse, in order to inform environmental policy-making. The proposed research will utilize Geisinger Health System's EHR data, which provides access to >15,000 births that have spatial and temporal overlap with UNGD in Pennsylvania. Aim 1 (K99 phase) combines text mining strategies and diagnosis codes to extract mothers' pregnancy-related health conditions from EHR data and then applies causal inference methods to evaluate pregnancy-related hypertension, gestational diabetes, sleep disorders, depression, and anx- iety as mediators of the observed associations between UNGD and term birth weight and preterm birth. Aim 2 (K99 phase) pilots primary data collection of chronic social stressors via questionnaires and ambient air samples near elementary schools attended by Geisinger pediatric patients. The R00 phase builds upon K99 data collec- tion and follows the primary care infants until 2021 (ages 8-15 years) to evaluate associations of types and timing of UNGD activity in relation to asthma diagnosis and acute respiratory infection. Aims 3-4 (R00 phase) begin to disentangle the environmental and social determinants of childhood respiratory outcomes. The proposal ad- dresses logistical and analytic challenges in environmental epidemiology and will prepare the applicant for an independent research career. This work will evaluate joint effects of environmental and social stressors on health across the lifespan and advance use of EHR data in environmental epidemiology.

项目总结/文摘

项目成果

Naming Civic Health in Environmental Justice Discourse: The Jackson Water Crisis.

在环境正义话语中命名公民健康：杰克逊水危机。

• DOI: 10.1016/j.lana.2022.100378
• 发表时间: 2022
• 期刊: Lancet regional health. Americas
• 作者: Nwanaji-Enwerem,JamajiC;Casey,JoanA
• 通讯作者: Casey,JoanA

Historic redlining and the siting of oil and gas wells in the United States.

• DOI: 10.1038/s41370-022-00434-9
• 发表时间: 2023-01
• 期刊: JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY
• 影响因子: 4.5
• 作者: Gonzalez, David J. X.;Nardone, Anthony;Nguyen, Andrew, V;Morello-Frosch, Rachel;Casey, Joan A.
• 通讯作者: Casey, Joan A.