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DOI10.1073/pnas.2022472118
Evidence and theory for lower rates of depression in larger US urban areas
Andrew J. Stier; Kathryn E. Schertz; Nak Won Rim; Carlos Cardenas-Iniguez; Benjamin B. Lahey; Luís M. A. Bettencourt; Marc G. Berman
2021-08-03
发表期刊Proceedings of the National Academy of Sciences
出版年2021
英文摘要

It is commonly assumed that cities are detrimental to mental health. However, the evidence remains inconsistent and at most, makes the case for differences between rural and urban environments as a whole. Here, we propose a model of depression driven by an individual’s accumulated experience mediated by social networks. The connection between observed systematic variations in socioeconomic networks and built environments with city size provides a link between urbanization and mental health. Surprisingly, this model predicts lower depression rates in larger cities. We confirm this prediction for US cities using four independent datasets. These results are consistent with other behaviors associated with denser socioeconomic networks and suggest that larger cities provide a buffer against depression. This approach introduces a systematic framework for conceptualizing and modeling mental health in complex physical and social networks, producing testable predictions for environmental and social determinants of mental health also applicable to other psychopathologies.

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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/335487
专题资源环境科学
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Andrew J. Stier,Kathryn E. Schertz,Nak Won Rim,et al. Evidence and theory for lower rates of depression in larger US urban areas[J]. Proceedings of the National Academy of Sciences,2021.
APA Andrew J. Stier.,Kathryn E. Schertz.,Nak Won Rim.,Carlos Cardenas-Iniguez.,Benjamin B. Lahey.,...&Marc G. Berman.(2021).Evidence and theory for lower rates of depression in larger US urban areas.Proceedings of the National Academy of Sciences.
MLA Andrew J. Stier,et al."Evidence and theory for lower rates of depression in larger US urban areas".Proceedings of the National Academy of Sciences (2021).
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