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

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

展开

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的对策，以保护公共心理健康和社区良好存在。城市和国家越来越多地将人口健康促进促进到城市规划决策中，但这种决策对心理健康结果的影响基本上仍未被研究。关于气候变化城市具有重要的能力来抵消温度升高和通过改变自然和建筑环境的设计来增强社区的韧性。但是，这样决策需要关于温度升高和抵消设计的健康影响的经验证据为了增加阴影，特别是考虑到阴影通道中的种族和社会经济不平等现象。在给定的一天，温度的显着空间变化可能发生在城市或城市地区，主要是由当地驱动的阴影的差异。几个世纪以来，温度和阴影暴露与心理病理学有关足够的生物学合理性，但是很少有现代研究提供了全面的数据。我们建议利用一项对3,396名高中生的队列研究，种族，收入和社区多样性， 2013年在洛杉矶县9年级招募，随后八次，每次浪潮少于1％，创新研究城市内温度差异如何，进入阴影和绿色空间如何影响内在化和外在化症状以及转诊性心理病理学特征的发生率。我们将链接地理编码的住宅，通勤者和学校位置信息，以远程感知的数据和当地土地使用创建邻里表面温度，树冠盖的高分辨率估计值阴影的环境来源和每个队列参与者的绿色空间。我们还将衡量已知或假设会影响精神病理学风险，包括空气质量，邻里经济状况和犯罪。最先进的混杂控制策略，使用多尺寸G形成型介导模型将产生鲁棒的关联。通过这些评估我们将构建包括社会，环境和环境在内的健康风险的社区类型。身体因素。我们将：1）在纵向上刻画> 3,000的家庭和学校社区跟随青少年并识别经诊断的心理病理学症状和轨迹； 2）确定邻里表面温度，阴影区域和绿空间对内在化和外在的维度，经诊断性状； 3）构建和比较邻里的类型精神病理风险结合了身体和社会环境数据以及新型潜在变量技术。我们的研究团队在空间和精神病流行病学和经验方面拥有广泛的专业知识将科学转化为政策。这项工作将提供有关绿色基础设施影响的严重丢失数据关于青少年的心理病理学。需要这样的数据来支持围绕城市的决策计划，投资和气候变化缓解以改善当地社区的人口健康。