Geospatial food access as a driver of environmental oxidant stressors and early obesity

项目摘要/摘要 肥胖的种族/民族和社会经济差异在生命早期就开始了。卡路里过度不平衡 怀孕是导致早期体重差异的主要可疑因素。然而，之前的研究还没有考虑到 有限的食物获取也可能导致化学和心理社会暴露，从而影响发育 心血管和代谢规划增加儿童早期肥胖风险。这位接受指导的病人- 面向研究的职业发展K23提案调查地理空间食物获取和 环境氧化应激源导致儿童肥胖，这是一个严重的公共卫生挑战和优先事项 美国国家环境健康科学研究所的。与此同时，它将为候选人卡罗尔做好准备 Duh-Leong，医学博士，国会议员，成为一名独立调查员，将解决邻里差距问题， 影响早期儿童肥胖的社会和化学环境。这项研究利用了来自 纽约大学儿童健康和环境研究，参与出生队列(50%西班牙裔，8%亚洲人，7% 黑人；57%的公共保险)在NIH ECHO计划中，该计划跟踪孕妇和他们的 儿童从出生后一直到童年早期。候选人提议对参与者的家庭地址进行地理编码 和食物环境数据对地理空间食物获取之间的联合关系进行纵向建模， 环境氧化应激源和儿童早期肥胖结果。具体目标是：1)检查是否 有限的地理空间食物获取增加了怀孕期间邻苯二甲酸盐和双酚的暴露；2)检查 有限的地理空间食物获取、心理社会应激源和氧化应激之间的关系 怀孕；以及3)评估地理空间食物获取和环境氧化应激源的联合影响 怀孕和婴儿期对儿童早期肥胖结局的影响。缩小这一知识差距将使Build 环境投资和邻里战略，以中断环境氧化剂应激源和 在生活过程中降低肥胖风险。通过执行这些目标，候选人将追求 以下指导培训目标：1)高级地理空间分析；2)环境暴露和 生物标志物评价；3)纵向分析和环境混合建模。这项建议吸引了 根据纽约大学格罗斯曼医学院提供的世界级临床、研究和教学资源 候选人的研究和培训目标。候选人已经组建了一支专家指导团队， 环境流行病学、地理空间分析、暴露和生物标记物评估方面的内容专家，以及 先进的统计方法来指导她的研究和培训。该团队将提供量身定做的现场培训 为了拟议的研究目标，并将指导候选人过渡到独立和她的建立 应用跨学科的生活过程方法来理解社会 以及儿童早期肥胖的环境背景。

PROJECT SUMMARY/ABSTRACT Racial/ethnic and socioeconomic disparities in obesity begin early in life. Excessive caloric imbalance in pregnancy is a leading suspected contributor to early weight disparities. Yet, prior studies have not accounted for how limited food access may also drive chemical and psychosocial exposures that influence developmental cardiovascular and metabolic programming to increase early childhood obesity risk. This Mentored Patient- Oriented Research Career Development K23 proposal investigates how geospatial food access and environmental oxidant stressors contribute to childhood obesity, a serious public health challenge and priority of the National Institute of Environmental Health Sciences. Simultaneously, it will prepare the candidate, Carol Duh-Leong, MD, MPP, to become an independent investigator who will address neighborhood disparities that influence the social and chemical context of early child obesity. This study leverages longitudinal data from the NYU Children’s Health and Environment Study, a participating birth cohort (50% Hispanic, 8% Asian, 7% Black; 57% Public Insurance) in the NIH ECHO program that follows pregnant people prenatally and their children postnatally through early childhood. The candidate proposes to geocode participant home addresses and food environment data to longitudinally model joint relationships among geospatial food access, environmental oxidant stressors, and early childhood obesity outcomes. Specific aims are: 1) Examine whether limited geospatial food access increases phthalate and bisphenol exposures in pregnancy; 2) Examine relationships between limited geospatial food access, psychosocial stressors, and oxidative stress in pregnancy; and 3) Evaluate joint effects of geospatial food access and environmental oxidant stressors across pregnancy and infancy on early childhood obesity outcomes. Closing this gap in knowledge would inform built environment investments and neighborhood strategies to interrupt environmental oxidant stressors and decrease obesity risk through the life course. Through the execution of these aims, the candidate will pursue the following mentored training goals: 1) Advanced geospatial analysis; 2) Environmental exposure and biomarker assessment; 3) Longitudinal analysis and environmental mixture modeling. This proposal draws upon world-class clinical, research, and teaching resources available at NYU Grossman School of Medicine for the candidate’s research and training aims. The candidate has assembled an expert mentorship team of content experts in environmental epidemiology, geospatial analysis, exposure and biomarker assessment, and advanced statistical methods to guide her research and training. This team will provide on-site training tailored to the proposed research aims and will guide the candidate’s transition to independence and her establishment of a research program that applies an interdisciplinary life course approach towards understanding the social and environmental context of early child obesity.