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Estimating multiple greenspace exposure types and their associations with neighbourhood premature mortality: A socioecological study

机译:估计多种绿地空间曝光类型及其与社区过早死亡率的关联:社会生态学研究

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Background: Greenspace exposures are often measured using single exposure metrics, which can lead to conflicting results. Existing methodologies are limited in their ability to estimate greenspace exposure comprehensively. We demonstrate new methods for estimating single and combined greenspace exposure metrics, representing multiple exposure types that combine impacts at various scales. We also investigate the association between those greenspace exposure types and premature mortality.Methods: We used geospatial data and spatial analytics to model and map greenspace availability, accessibility and eye-level visibility exposure metrics. These were harmonised and standardised to create a novel composite greenspace exposure index (CGEI). Using these metrics, we investigated associations between greenspace exposures and years of potential life lost (YPLL) for 1673 neighbourhoods applying spatial autoregressive models. We also investigated the variations in these associations in conjunction with levels of socioeconomic deprivation based on the index of multiple deprivations.Results: Our new CGEI metric provides the opportunity to estimate spatially explicit total greenspace exposure. We found that a 1-unit increase in neighbourhood CGEI was associated with approximately a 10-year reduction in YPLL Meaning a 0.1 increment or 10% increase in the CGEI is associated with an approximately one year lower premature mortality value. A single 1 -unit increase in greenspace availability was associated with a YPLL reduction of 9.8 years, whereas greenness visibility related to a reduction of 6.14 years. We found no significant association between greenspace accessibility and YPLL Our results further identified divergent trends in the relations between greenspace exposure types (e.g. availability vs. accessibility) and levels of socioeconomic deprivation (e.g. least vs. most).Conclusion: Our methods and metrics provide a novel approach to the assessment of multiple greenspace exposure types, and can be linked to the broader exposome framework. Our results showed that a higher composite greenspace exposure is associated with lower premature mortality.
机译:背景:使用单次曝光指标进行衡量绿色曝光,这可能导致结果相冲突。现有方法有限于他们综合估算绿地空间曝光的能力。我们展示了估计单个和组合的绿地空间曝光度量的新方法,代表了组合各种尺度影响的多种曝光类型。我们还研究了这些绿地空间曝光类型和过早死亡率之间的关联。方法:我们使用地理空间数据和空间分析来模拟和地图Greenspace可用性,可访问性和眼级可见度曝光度量。这些是协调和标准化的,以创造一种新型复合绿色空间曝光指数(CGEI)。使用这些指标,我们调查了1673年应用空间自回归模型的1673个社区丢失(YPLL)之间的绿色空间风险和多年的关联。我们还根据多次剥夺指数调查了这些关联的变化,基于多种剥夺指数。结果:我们的新CGEI指标提供了估计空间显式总绿地空间曝光的机会。我们发现,邻域CGEI的1单位增加与YPLL的大约10年减少有关,意味着CGEI的0.1个增量或10%增加与大约一年的过早死亡率有关。 GREENSPACE可用性的单一1次延长与YPLL减少9.8岁相关联,而绿色可见性与减少6.14岁。我们发现Greenspace可访问性与YPLL之间没有显着关联,我们的结果进一步确定了绿色空间曝光类型(例如可用性与可访问性)关系的不同趋势和社会经济剥夺的水平(例如,最小与大多数)。结论:我们的方法和指标提供一种新的多种绿地空间曝光类型评估的新方法,并且可以与更广泛的曝光框架相关联。我们的研究结果表明,较高的复合绿色曝光与较低的过早死亡率有关。

著录项

  • 来源
    《Science of the total environment》 |2021年第1期|147919.1-147919.14|共14页
  • 作者单位

    Centre for Diet and Activity Research MRC Epidemiology Unit University of Cambridge United Kingdom of Great Britain and Northern Ireland MCCIS Department of Geography School of Environment Education and Development (SEED) University of Manchester United Kingdom of Great Britain and Northern Ireland;

    MCCIS Department of Geography School of Environment Education and Development (SEED) University of Manchester United Kingdom of Great Britain and Northern Ireland;

    MCCIS Department of Geography School of Environment Education and Development (SEED) University of Manchester United Kingdom of Great Britain and Northern Ireland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Green space; Greenness; Pathways; Mortality; Exposome; Geographic information systems;

    机译:绿地;绿色;途径;死亡;曝光;地理信息系统;

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