将 ABCD 研究的神经成像和心理健康数据与 UrbanSat 测量的宏观环境因素联系起来

Ran Goldblatt, Nathalie Holz, Garrett W. Tate, Kari Sherman, Selamawit Ghebremicael, Soumitra S. Bhuyan, Yazan A. Al-Ajlouni, Sara Santillanes, Ghermay Araya, Shermaine Abad, Megan M. Herting, Wesley K. Thompson, Bishal Thapaliya, Ram Sapkota, Jiayuan Xu, Jingyu Liu, The environMENTAL consortium, Gunter Schumann, Vince D. Calhoun
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摘要

尽管过去十年间的许多研究都强调了环境因素对心理健康的影响,但全球适用的物理环境数据(如土地覆被和城市化程度)仍然有限。城市环境十分复杂,由许多相互作用的因素组成。要了解城市生活如何影响心理健康,需要同时测量多种环境因素与精神疾病的症状之间的关系,同时考虑潜在的大脑结构和功能。迄今为止,大多数研究都是孤立地评估绿化等单个城市环境因素,并将其与单个精神疾病症状联系起来。我们改进了基于卫星的 "城市卫星"(UrbanSat)测量方法,该方法由 11 个卫星数据衍生的环境指标组成,并通过居住地址将这些指标与青少年大脑认知发展(ABCD)研究的参与者联系起来。ABCD 研究是目前最大的探索大脑发育和儿童健康的纵向观察研究,涉及美国 21 个地点的 11,800 名 9-16 岁儿童。我们在此介绍 ABCD 研究数据与 UrbanSat 变量的联系,包括每个受试者基线访问时的居住地址,包括土地覆盖和土地利用、夜间灯光和人口特征。我们还强调并讨论了卫星数据变量与默认模式网络聚类系数和认知的重要联系。这一全面的数据集为推进儿童和青少年关键发育期的城市性神经行为研究提供了重要工具。在本《视角》中,作者提出了一个评估城市环境因素对心理健康影响的模型,该模型采用 UrbanSat 测量方法和 ABCD 研究中的青少年数据。
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Linking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors
Although numerous studies over the past decade have highlighted the influence of environmental factors on mental health, globally applicable data on physical surroundings such as land cover and urbanicity are still limited. The urban environment is complex and composed of many interacting factors. To understand how urban living affects mental health, simultaneous measures of multiple environmental factors need to be related to symptoms of mental illness, while considering the underlying brain structure and function. So far, most studies have assessed individual urban environmental factors, such as greenness, in isolation and related them to individual symptoms of mental illness. We have refined the satellite-based ‘Urban Satellite’ (UrbanSat) measures, consisting of 11 satellite-data-derived environmental indicators, and linked them through residential addresses with participants of the Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study is the largest ongoing longitudinal and observational study exploring brain development and child health, involving 11,800 children, assessed at 9–16 years of age, from 21 sites across the USA. Here we describe linking of the ABCD Study data with UrbanSat variables, including each subject’s residential address at their baseline visit, including land cover and land use, nighttime lights and population characteristics. We also highlight and discuss important links of the satellite-data variables to the default mode network clustering coefficient and cognition. This comprehensive dataset provides an important tool for advancing neurobehavioral research on urbanicity during the critical developmental periods of childhood and adolescence. In this Perspective, the authors present a model of assessing urban environmental factors’ impact on mental health by using UrbanSat measures and data from adolescents in the ABCD Study.
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