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

• 批准号: 10360096
• 负责人: KATHERINE MARGARET KEYES
• 金额: $ 78.25万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 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/10360096
• 关键词: Adolescent; Adverse effects; Affect; Air; Area; Biological; Cities; City Planning; Climate; Cohort Studies; Communities; Consequentialism; County; Coupled; Crime; Data; Decision Making; Dimensions; Economic Conditions; Economics; Environment; Epidemiology; Future; Genetic Code; Geography; Green space; Health; Health Policy; Health Promotion; High School Student; High temperature of physical object; Home; Human; Incidence; Income; Inequality; Infrastructure; Intervention; Intervention Studies; Investigation; Investments; Link; Location; Longevity; Los Angeles; Measurement; Measures; Mediating; Mental Health; Modeling; Modernization; Nature; Neighborhoods; Outcome; Participant; Pathology; Personal Satisfaction; Physical environment; Plants; Policies; Politics; Population; Psychiatric epidemiology; Psychopathology; Public Health; 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; base; built environment; climate change; 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; socioeconomics; spatial epidemiology; trait; trend; twelfth grade; urban area; urban planning

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.

适应气候变化需要能够很好地保护公众心理健康和社区的对策-- 是存在的。城市和州越来越多地将促进人口健康纳入城市规划决策，但 这种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的能力帮助抵消气温上升和 通过改变自然和已建成环境的设计，增强社区的复原力。然而，这样的 决策需要关于温度升高和补偿设计对健康影响的经验证据 增加遮荫，特别是考虑到遮荫途径方面的种族和社会经济不平等。在特定的一天， 温度的显著空间差异可能发生在一个城市或城市区域内，主要是由当地 色调上的差异。几个世纪以来，温度和阴凉处的暴露一直与精神病理有关， 生物学上有充分的可能性，但很少有现代研究提供全面的数据。我们打算利用 一项对3396名高中生进行的队列研究，这些学生在种族、收入和邻里方面都有很大的差异， 2013年在洛杉矶县9年级时被招募，并跟进了8次，每波1%的自然流失率。 创新性地研究城市内部温度、遮荫和绿地的差异如何影响 内化和外化症状的发生率和跨诊断的精神病理特征。我们将链接 对住宅、通勤者和学校位置信息进行地理编码，以获得遥感数据和当地土地使用情况 创建附近地表温度、树冠覆盖、其他建筑的高分辨率估计 每个队列参与者的遮荫环境来源和绿地。我们还将衡量 已知或假设会影响精神疾病风险的邻里因素，包括空气质量， 附近的经济状况和犯罪情况。最先进的混杂控制策略，使用多个 维g公式中介的节制模型将产生稳健的关联。通过这些 我们将构建社区健康风险类型的评估，包括社会、环境和 身体因素。我们将：1)深入描述3,000个家庭和学校社区的纵向特征 跟踪青少年并确定跨诊断的精神病理症状和轨迹；2)确定 邻里表面温度、阴影区和绿地对内化和 外在维度、跨诊断特征；3)构建和比较邻域类型 结合物理和社会环境数据和新的潜在变量的精神病理风险 技巧。我们的研究团队在空间和精神病学流行病学方面拥有广泛的专业知识和经验 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。这样的数据是需要的，以支持城市周围的决策 规划、投资和缓解气候变化，以改善当地社区的人口健康。