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首页> 外文期刊>Environmental research >Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures
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Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures

机译：城市绿地和心理健康在成人中：不同绿色措施的多种途径上的横断面调解分析

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摘要

Background: Multiple mechanisms have been proposed to explain how greenery in the vicinity of people's homes enhances their mental health and wellbeing. Mediation studies, however, focus on a limited number of mechanisms and rely on remotely sensed greenery measures, which do not accurately capture how neighborhood greenery is perceived on the ground. Objective: To examine: 1) how streetscape and remote sensing-based greenery affect people's mental wellbeing; 2) whether and, if so, to what extent the associations are mediated by physical activity, stress, air quality and noise, and social cohesion; and 3) whether differences in the mediation across the streetscape greenery and NDVI exposure metrics occurred. Methods: We used a population sample of 1029 adult residents of the metropolis of Guangzhou, China, from 2016. Mental wellbeing was quantified by the World Health Organization Weil-Being Index (WHO-5). Two objective greenery measures were extracted at the neighborhood level: 1) streetscape greenery from street view data via a convolutional neural network, and 2) the normalized difference vegetation index (NDVI) from Landsat 8 remote sensing images. Single and multiple mediation analyses with multilevel regressions were conducted. Results: Streetscape and NDVI greenery were weakly and positively, but not significantly, correlated. Our regression results revealed that streetscape greenery and NDVI were, individually and jointly, positively associated with mental wellbeing. Significant partial mediators for the streetscape greenery were physical activity, stress, air quality and noise, and social cohesion; together, they explained 62% of the association. For NDVI, only physical activity and social cohesion were significant partial mediators, accounting for 22% of the association. Conclusions: Mental health and wellbeing and both streetscape and satellite-derived greenery seem to be both directly correlated and indirectly mediated. Our findings signify that both greenery measures capture different aspects of natural environments and may contribute to people's wellbeing by means of different mechanisms.
机译：背景：已提出多种机制来解释人们住宅附近的绿色有多绿化增强了他们的心理健康和福祉。然而，调解研究专注于有限数量的机制，依赖于远程感知的绿色措施，这不准确地捕获地面上的邻居绿地。目的：检查：1）街景和遥感的绿化如何影响人们的心理健康; 2）无论是，如果是，联想的程度是通过身体活动，压力，空气质量和噪音和社会凝聚的程度介导; 3）是否发生了街景绿化和NDVI曝光度量的调解差异。方法：我们利用2016年广州市广州大都市的1029名成年居民的人口样本。由世界卫生组织威尔是指数（WHO-5）量化的心理福祉。在邻域级中提取了两种客观绿化措施：1）通过卷积神经网络从街道视图数据的街景绿化，2）来自Landsat 8遥感图像的归一化差异植被指数（NDVI）。进行了具有多级回归的单一和多个中介分析。结果：街景和NDVI绿叶弱且积极，但没有显着相关。我们的回归结果表明，与心理健康的单独和共同，街景绿化和NDVI呈正常相关。街景绿化的重要部分调解器是身体活动，压力，空气质量和噪音，以及社会凝聚力;他们共同解释了62％的协会。对于NDVI来说，只有身体活动和社会凝聚力是重要的部分调解员，占协会的22％。结论：心理健康与福利，静脉静脉源性源性绿叶似乎是直接相关和间接介导的。我们的调查结果表示，两种绿化措施都捕获了自然环境的不同方面，可能通过不同的机制促进人们的幸福。

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  • 来源
    《Environmental research》 |2019年第9期|108535.1-108535.8|共8页
  • 作者

    Ruoyu Wang; Marco Helbich; Yao Yao; Jinbao Zhang; Penghua Liu; Yuan Yuan; Ye Liu;

  • 作者单位

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

    Department of Human Geography and Spatial Planning Utrecht University the Netherlands;

    School of Information Engineering China University of Geosciences Wuhan China;

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

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

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

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

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  • 正文语种 eng
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  • 关键词

    Green space; Street view data; Deep learning; Mediation; Mental wellbeing; China;

    机译：绿地;街头视图数据;深度学习;调解;心理健康;中国;

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