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Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China

机译：广州市城市居民的住宅绿色，空气污染和心理健康

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摘要

China's rapid urbanization has led to an increasing level of exposure to air pollution and a decreasing level of exposure to vegetation among urban populations. Both trends may pose threats to psychological well-being. Previous studies on the interrelationships among greenness, air pollution and psychological well-being rely on exposure measures from remote sensing data, which may fail to accurately capture how people perceive vegetation on the ground. To address this research gap, this study aimed to explore relationships among neighbourhood greenness, air pollution exposure and psychological well-being, using survey data on 1029 adults residing in 35 neighbourhoods in Guangzhou, China. We used the Normalized Difference Vegetation Index (NDVI) and streetscape greenery (SVG) to assess greenery exposure at the neighbourhood level, and we distinguished between trees (SVG-tree) and grasses (SVG-grass) when generating streetscape greenery exposure metrics. We used two objective (PM_(2.5) and NO_2 concentrations) measures and one subjective (perceived air pollution) measure to quantify air pollution exposure. We quantified psychological well-being using the World Health Organization Well-Being Index (WHO-5). Results from multilevel structural equation models (SEM) showed that, for parallel mediation models, while the association between SVG-grass and psychological well-being was completely mediated by perceived air pollution and NO_2, the relationship between SVG-tree and psychological well-being was completely mediated by ambient PM_(2.5), NO_2 and perceived air pollution. None of three air pollution indicators mediated the association between psychological well-being and NDVI. For serial mediation models, measures of air pollution did not mediate the relationship between NDVI and psychological well-being. While the linkage between SVG-grass and psychological well-being scores was partially mediated by NO_2-perceived air pollution, SVG-tree was partially mediated by both ambient PM_(2.5)-perceived air pollution and NO_2-perceived air pollution. Our results suggest that street trees may be more related to lower air pollution levels and better mental health than grasses are.
机译：中国快速的城市化进程导致空气污染暴露水平上升，而城市人口中植被暴露水平下降。两种趋势都可能对心理健康构成威胁。先前关于绿色，空气污染和心理健康之间的相互关系的研究依赖于遥感数据中的暴露量度，这可能无法准确地捕捉人们对地面植被的感知。为了弥补这一研究空白，本研究旨在利用居住在中国广州35个社区的1029名成年人的调查数据，探索社区绿色，空气污染暴露与心理健康之间的关系。我们使用归一化植被指数（NDVI）和街景绿化（SVG）来评估邻域级别的绿化暴露，在生成街景绿化暴露量度时，我们将树木（SVG树）和草（SVG草）区分开来。我们使用了两种客观（PM_（2.5）和NO_2浓度）措施和一种主观（感知空气污染）措施来量化空气污染暴露。我们使用世界卫生组织的幸福指数（WHO-5）量化了心理幸福感。多级结构方程模型（SEM）的结果表明，对于平行调解模型，SVG-草与心理健康之间的关联完全由感知的空气污染和NO_2介导，而SVG-树与心理健康之间的关系完全由环境PM_（2.5），NO_2和感知的空气污染介导。三种空气污染指标均未介导心理健康与NDVI之间的关系。对于串行调解模型，空气污染的测量并未调解NDVI与心理健康之间的关系。 SVG草与心理健康分数之间的联系部分由NO_2感知的空气污染介导，而SVG树则部分由环境PM_（2.5）感知的空气污染和NO_2感知的空气介导。我们的结果表明，与草相比，街头树木与更低的空气污染水平和更好的心理健康可能更多相关。

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  • 来源
    《The Science of the Total Environment》 |2020年第1期|134843.1-134843.12|共12页
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  • 作者单位

    School of Geography and Planning Sun Yat-Sen University Guangzhou 510275 China Guangdong Key Laboratory for Urbanization and Geo-Simulation Sun Yat-Sen University. Guangzhou 510275 China Institute of Geography School of GeoSciences University of Edinburgh Edinburgh UK;

    Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment Department of Occupational and Environmental Health School of Public Health Sun Yat-sen University Guangzhou 510080. China;

    School of Geography and Information Engineering China University of Ceosciences Wuhan 430074 China;

    Departments of Environmental Health Sciences and Epidemiology and Biostatics University at Albany State University of New York Rensselaer NY 12144 USA;

    Institute of Geography School of GeoSciences University of Edinburgh Edinburgh UK;

    School of Geography and Planning Sun Yat-Sen University Guangzhou 510275 China Guangdong Key Laboratory for Urbanization and Geo-Simulation Sun Yat-Sen University. Guangzhou 510275 China;

    College of Economics Ji Nan University Guangzhou China;

    Department of Architecture and Civil Engineering City University of Hong Kong Hong Kong SAR China City University of Hong Kong Shenzhen Research Institute Shenzhen China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Air pollution; Psychological well-being; Residential greenness; Street view data;

    机译：空气污染;心理健康;住宅绿色;街景数据;

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