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Temperature, shade, and adolescent psychopathology: understanding how place shapes health

温度、阴影和青少年精神病理学：了解地方如何塑造健康

基本信息

批准号：
10678873
负责人：
KATHERINE MARGARET KEYES
金额：
$ 61.06万
依托单位：
COLUMBIA UNIVERSITY HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-15 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10678873
关键词：
Adolescent Adverse effects Affect Air Area Biological Cities City Planning Cohort Studies Collaborations Communities County Coupled Crime Data Decision Making Diagnostic Dimensions Economic Conditions Economics Environment Environmental Epidemiology Future Genetic Code Geography Green space Health Health Policy Health Promotion High School Student High temperature of physical object Home Human Incidence Income Inequity Infrastructure Intervention Intervention Studies Investigation Investments Link Location Longevity Los Angeles Measurement Measures Mediating Mental Health Modeling Modernization Natural Source Nature Neighborhoods Outcome Participant Pathology Personal Satisfaction Physical environment Plants Policies Policy Maker Politics Population Psychiatric epidemiology Psychopathology Public Health Public Policy Race Recording of previous events Research Resolution Risk Risk Factors Role Schools Science Shapes Social Environment Socioeconomic Status Source Surface Symptoms Techniques Temperature Testing Time Translating Trees Typology Variant Work built environment climate change climate-related health cohort design experience follow-up high risk improved innovation land use metropolitan mortality neurobiological mechanism ninth grade novel policy implication population based population health protective factors public health intervention public health relevance recruit remote sensing resilience response social social epidemiology socioeconomic disparity socioeconomics spatial epidemiology trait trend twelfth grade urban area urban planning

项目摘要

Adapting to climate change requires countermeasures that can protect public mental health and community well- being. Cities and states increasingly incorporate population health promotion into urban planning decisions, yet the impacts of such decision decisions on mental health outcomes remain largely unstudied. With respect to climate change cities have significant capacity to help offset the adverse effects of increasing temperatures and enhance community resilience, through altering the design of natural and built environments. However, such decisions require empiric evidence on the health effects of both increasing temperature and offsetting designs to increase shade, particularly given the racial and socioeconomic inequalities in shade access. On a given day, significant spatial variation in temperature can occur within a city or urban region, mostly driven by local differences in shade. Temperature and shade exposure have been linked to psychopathology for centuries, with ample biological plausibility, but few modern studies have provided comprehensive data. We propose to utilize a cohort study of 3,396 high school students, with substantial diversity in race, income, and neighborhood, recruited in 9th grade in 2013 in Los Angeles County, and followed up eight times with <1% attrition at each wave, to innovatively study how intra-city differences in temperature, access to shade, and green space influence the incidence of internalizing and externalizing symptoms and transdiagnostic psychopathological traits. We will link geocoded residential, commuter, and school location information to remotely sensed data and local land use to create high-resolution estimates of neighborhood surface temperatures, tree canopy cover, other built environment sources of shade, and green space of each of the cohort participants. We will also measure neighborhood-level factors known or hypothesized to influence psychopathology risk, including air quality, neighborhood economic conditions, and crime. State-of-the-science confounder control strategies using multi- dimensional g-formula mediated moderation models will generate robust associations. Through these assessments we will construct neighborhood typologies of health risk that include social, environmental, and physical factors. We will: 1) intensively characterize the home and school neighborhoods of >3,000 longitudinally followed adolescents and identify transdiagnostic psychopathological symptoms and trajectories; 2) determine the impact of neighborhood surface temperature, shaded areas, and greenspace on internalizing and externalizing dimensions, transdiagnostic traits; and 3) construct and compare neighborhood typologies of psychopathological risk incorporating physical and social environmental data and novel latent variable techniques. Our research team has extensive expertise in spatial and psychiatric epidemiology and experience in translating science to policy. This work will provide critical missing data on the effects of green infrastructure on psychopathology among adolescents. Such data are needed to support decision-making around urban planning, investment, and climate change mitigation to improve population health for local communities.

适应气候变化需要采取能够保护公众心理健康和社区福祉的对策存在。城市和州越来越多地将人口健康促进纳入城市规划决策，但此类决策对心理健康结果的影响在很大程度上仍未得到研究。关于气候变化城市有很大能力帮助抵消气温升高和气候变化带来的不利影响通过改变自然和建筑环境的设计来增强社区的复原力。然而，这样的决策需要有关温度升高和抵消设计对健康影响的经验证据增加遮荫，特别是考虑到遮荫机会方面的种族和社会经济不平等。在某一天，城市或城市区域内可能会出现显着的温度空间变化，主要是由当地阴影的差异。几个世纪以来，温度和阴影暴露一直与精神病理学联系在一起，充足的生物学合理性，但很少有现代研究提供全面的数据。我们建议利用一项针对 3,396 名高中生的队列研究，他们在种族、收入和社区方面存在很大差异， 2013 年在洛杉矶县招收 9 年级学生，并进行了八次随访，每轮的流失率 <1%，创新地研究城市内的温度差异、遮荫和绿地空间如何影响内化和外化症状以及跨诊断精神病理学特征的发生率。我们将链接将住宅、通勤和学校位置信息地理编码为遥感数据和当地土地利用创建邻近地表温度、树冠覆盖、其他建筑的高分辨率估计每个队列参与者的阴影环境来源和绿色空间。我们也会测量已知或假设影响精神病理学风险的邻里因素，包括空气质量，社区经济状况和犯罪。最先进的混杂控制策略使用多维度 g 公式介导的调节模型将产生强大的关联。通过这些通过评估，我们将构建健康风险的社区类型，包括社会、环境和物理因素。我们将： 1) 纵向深入描述超过 3,000 个家庭和学校社区的特征跟踪青少年并识别跨诊断的精神病理学症状和轨迹； 2）确定邻近地表温度、阴影区域和绿地对内化和外化维度、跨诊断特征； 3）构建并比较邻域类型结合物理和社会环境数据以及新的潜在变量的精神病理学风险技术。我们的研究团队在空间和精神流行病学方面拥有丰富的专业知识和经验将科学转化为政策。这项工作将提供有关绿色基础设施影响的关键缺失数据关于青少年的精神病理学。需要这些数据来支持城市决策规划、投资和减缓气候变化，以改善当地社区的人口健康。