心理健康
心理学
老年学
环境卫生
医学
精神科
地理
作者
Jiayuan Xu,Nana Liu,Elli Polemiti,Liliana Garcia-Mondragon,Jie Tang,Xiaoxuan Liu,Tristram A. P. Lett,Le Yu,Markus Maria Nöthen,Jianfeng Feng,Chunshui Yu,André F. Marquand,Günter Schumann,Henrik Walter,Andreas Heinz,Markus Ralser,Sven Olaf Twardziok,Nilakshi Vaidya,Emin Serin,Marcel Jentsch
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2023-06-01
卷期号:29 (6): 1456-1467
被引量:260
标识
DOI:10.1038/s41591-023-02365-w
摘要
Abstract The majority of people worldwide live in cities, yet how urban living affects brain and mental illness is scarcely understood. Urban lives are exposed to a a wide array of environmental factors that may combine and interact to influence mental health. While individual factors of the urban environment have been investigated in isolation, to date no attempt has been made to model how the complex, real life exposure to living in the city relates to brain and mental illness, and how it is moderated by genetic factors. Using data of over 150,000 participants of the UK Biobank, we carried out sparse canonical correlation analyses (sCCA) to investigate the relation of urban living environment with symptoms of mental illness. We found three mental health symptom groups, consisting of affective, anxiety and emotional instability symptoms, respectively. These groups were correlated with distinct profiles of urban environments defined by risk factors related to social deprivation, air pollution and urban density, and protective factors involving green spaces and generous land use. The relations between environment and symptoms of mental illness were mediated by the volume of brain regions involved in reward processing, emotional processing and executive control, and moderated by genes regulating stress response, neurotransmission, neural development and differentiation, as well as epigenetic modifications. Together, these findings indicate distinct biological pathways by which different environmental profiles of urban living may influence mental illness. Our results also provide a quantitative measure of the contribution of each environmental factor to brain volume and symptom group. They will aid in targeting and prioritizing important decisions for planning and public health interventions.
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