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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.

适应气候变化需要能够很好地保护公众心理健康和社区的对策