The Impact of Drought on Arsenic Exposure and Cardiometabolic Outcomes in a Rural Aging Population

干旱对农村老龄人口砷暴露和心脏代谢结果的影响

• 批准号: 10631234
• 负责人: Matthew O. Gribble
• 金额: $ 58.65万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-05 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10631234
• 关键词: Address; Adult; Advisory Committees; Aging; Arsenic; Biological Markers; California; Cardiometabolic Disease; Cardiovascular Diseases; Cause of Death; Climate; Cohort Studies; Colorado; Communication; Communities; Data; Diabetes Mellitus; Discipline; Disease Outcome; Droughts; Ecosystem; Education; Elderly; Eligibility Determination; Environmental Health; Epidemiologist; Epidemiology; Ethnic Origin; Future; Health; Health Benefit; Hispanic; Human; Incidence; Individual; Intervention; Knowledge; Learning Module; Life Expectancy; Link; Literature; Machine Learning; Measurement; Measures; Mediating; Mediation; Medicare claim; Mentored Clinical Scientist Development Program; Methodology; Methods; Modeling; Natural Disasters; Nested Case-Control Study; Not Hispanic or Latino; Outcome; Participant; Persons; Population; Public Health; Pump; Quality of life; Recommendation; Recording of previous events; Research; Residual state; Resources; Retrospective cohort study; Risk; Role; Rural; STEM career; Sampling; Schools; Science; Scientist; Source; Statistical Methods; Time; Toxicology; Uncertainty; United States; Urine; Visit; Water; Woman; Work; aging population; biological sex; cardiometabolism; case control; clay; climate change; climate-related health; cohort; community engaged research; cost; density; design; disorder risk; drinking water; empowerment; epidemiological model; exposure pathway; extreme weather; geochemistry; ground water; hydrology; innovation; insight; interdisciplinary approach; meetings; member; men; mortality; novel strategies; outreach; population based; preventive intervention; programs; prospective; remote sensing; resilience; secondary analysis; sex; simulation; spatiotemporal; tool; water conservation; water quality; weather-related disaster

Project Summary / Abstract Droughts are an important natural disaster but the health implications for elderly populations in the United States have not been extensively studied. This study seeks to provide evidence on the cardiometabolic health risks posed by drought. Droughts can contribute to groundwater over-pumping, and this may in turn lead to arsenic release from aquifer clays into drinking water sources. The impacts of drought on arsenic exposure and resultant health outcomes in human populations are potentially important and this study seeks to address that knowledge gap. We propose to conduct a retrospective cohort study using data from the San Luis Valley Diabetes Study, as well as hydrogeological measurements of water and environmental conditions in the San Luis Valley, to clarify relationships between drought, arsenic in water, arsenic exposure (as measured by urine biomarker), and cardiometabolic health outcomes including incident diabetes (DM), incident cardiovascular disease (CVD), and all-cause mortality. This work is community-engaged and includes a K12 outreach component. Aim 1 quantifies the relationship of drought to individual arsenic exposures and thence to incident CVD, incident DM, and mortality. Aim 2 generates a model for groundwater arsenic as a function of hydrological predictors using machine learning approaches, and uses this to explore relationships between drought, modeled water arsenic and the outcomes of Aim 1. Aim 3 estimates the association between cumulative arsenic exposure and incident CVD, incident DM, and mortality, using a nested case-control design and predictions over time of arsenic exposure from the Aim 2 model. Aim 4 is a simulation study projecting future CVD and DM outcomes under different scenarios of drought conditions, with and without counterfactual interventions to reduce drinking water arsenic.

项目摘要/摘要